Home » Blog » A flexible Time & Material model designed for complex IT projects in large companies

A flexible Time & Material model designed for complex IT projects in large companies

8 May 2025

Table of contents

Time & Material (T&M) is a model of cooperation in which billing is based on the actual time worked by specialists and the resources used. Unlike the rigid Fixed Price model, where the scope and cost are defined upfront, T&M ensures flexibility – the scope of work can evolve during the project, and the client pays for the actual tasks performed. This model is gaining popularity among companies undergoing digital transformation, who need quick access to competencies and the ability to adapt to changes. Below, we explain why T&M is the preferred model for digital transformation leaders, in which situations it works best, and provide examples (including the cooperation between TTMS Software Sdn Bhd and ADA). Finally, we invite you to talk about how T&M can support your project.

1. What is the Time & Material model in IT?

The Time & Material model means that the client pays for the hours worked and the tools used to complete the IT project. There is no fixed total cost or fully frozen scope – the project is carried out iteratively, and details can be refined during the work. This model is fully compatible with Agile methodologies and the iterative approach to software development. The project team logs work hours, reports progress, and settlements are made periodically (e.g., monthly or per stage). The client gains full transparency – they know exactly what they are paying for and can continuously adjust the direction of the work.

In practice, the T&M contract sets the rates (e.g., hourly or daily) for specific roles in the project (developer, tester, analyst, etc.) and general rules of cooperation. But it leaves space for scope changes. If new requirements or changes arise during the project, there is no need to renegotiate the contract – the team simply continues the work, and the client pays for the additional time based on the agreed rates. This significantly shortens the project launch time and reduces the risk of underestimating or omitting important elements. In T&M, both the IT provider and the client act as partners sharing responsibility for the project’s success.

2. Flexibility above all – why leaders choose T&M

Today’s business environment is extremely dynamic. Companies that are leaders in digital transformation know that changes are the norm in ambitious IT projects – new ideas appear, user expectations change, and technology constantly evolves. Traditional settlement models (e.g., fixed-price projects) often turn out to be too inflexible in such conditions. That’s why leading organizations increasingly choose Time & Material to ensure the ability to respond quickly and keep up with innovation.

The T&M model offers a number of benefits for large enterprises and digital transformation programs:

Quick project start and delivery in stages: No need to wait for a perfectly refined scope – work can start fast, and solutions are delivered in short iterations. This allows early business value realization and continuous verification.
Flexibility in implementing changes: When new challenges arise or new ideas appear, the team can immediately adjust the scope of work. There is no need to amend the contract for each change – the plan evolves within the agreed framework.
Cost transparency: At every stage, it is clear how much time has been worked and what the budget is spent on. The client receives regular reports, knows exactly what they are paying for, and can control the budget throughout the project.
Full control and involvement on the client side: The client is actively involved in the project – can prioritize tasks, decide on the order of implementation, and quickly change direction if necessary.
Access to needed competencies exactly when they are needed: In the T&M model, the team can be scaled flexibly – increased in size or supplemented with new experts when the project enters a new phase.
Higher quality through continuous improvements: As the project is run iteratively, the final product can be of better quality – continuous testing, feedback, and improvements increase value step by step.

It is worth noting that the T&M model eliminates the need to pay for “extra” assumptions. In a fixed-price model, providers often add a risk buffer – so the client pays in advance, even for unforeseen difficulties. In T&M, you pay only for the actual work. If some tasks turn out to be unnecessary or simplified, the budget can be shifted to other priorities.

3. When does the T&M model work best?

The Time & Material model is not a cure-all – there are situations where it works perfectly and others where a fixed-price model might be better. Below are typical scenarios where T&M works best:

Long-term, complex projects – if the initiative is extended over time and consists of many phases, it is obvious that it’s hard to predict all requirements at the start. T&M allows scope adjustment according to current needs.
Unclear requirements at the start – when the client has a general vision but not a detailed list of functionalities. This often occurs in innovative projects. T&M allows starting with MVP and then iterative development.
Dynamic business or technology environment – in industries like fintech, e-commerce, or telecom, change is constant. If user needs evolve quickly, regulations change, or there’s competitive pressure, fixed contracts can slow you down. T&M allows flexibility and speed.
Budget control during the project – paradoxically, although T&M doesn’t specify the final amount upfront, it allows strict budget control. You can monitor ROI and decide on funding further stages based on previous outcomes.
Outsourcing and need for specific know-how – if you’re using IT outsourcing or staff augmentation, T&M is a natural choice. You can get the expert you need without long hiring processes.

Of course, the T&M model requires trust and maturity on both sides – the client must be ready to collaborate and supervise, and the provider must ensure transparency. Experienced partners like TTMS introduce control mechanisms (hour tracking, budget checkpoints, milestones) to protect the project.

4. Example: TTMS and ADA – partnership in T&M model

A real example of T&M flexibility is the recent cooperation between TTMS Software Sdn Bhd (TTMS branch in Malaysia) and ADA, a leading digital transformation company in Southeast Asia. ADA specializes in data analytics, AI, and digital marketing, serves over 1,500 clients in 12 markets, and is backed by investors like SoftBank and Axiata Group. The partnership began in the Time & Material model, with TTMS providing a Salesforce Administrator for three months. This form enabled ADA to use TTMS experience exactly when needed and created a foundation for further cooperation.

Read more in the press release: TTMS Software Sdn Bhd starts cooperation with ADA

5. Other examples of T&M at TTMS

At TTMS, we have been delivering projects in the Time & Material or similar flexible models for years. Most of our case studies are stories of long-term cooperation, iterative system improvement, and partnership approach – that’s what T&M enables. For example:

In the energy sector, we created a scalable application that integrated many systems.
In the pharmaceutical sector, we supported an international company in building a CRM system with a growing scope.
For Schneider Electric, we are a long-term outsourcing partner – we provide specialists in the T&M model.

6. T&M in Asia – a growing trend

We observe growing interest in flexible contracts in Asia. Companies in this region, known for dynamic growth, often point to the T&M model as key to successful transformation. For example:

A telecom operator in Southeast Asia chose T&M for a new digital platform, which allowed them to adapt the roadmap in real time.
In e-commerce, a platform was iteratively adapted to user needs through a T&M-based cooperation with an external team.

These examples show that flexibility = effectiveness.

7. Choose the right model

Time & Material is a proven way to run an IT project when speed, adaptability, and access to talent matter. Leaders choose it because it lets them focus on business goals instead of renegotiating contracts. Properly applied, T&M gives:

Freedom of action
Transparent costs
Quality and results

If your company is planning a new system or wants to improve an existing one and needs a flexible and experienced IT partner, T&M may be the right choice. TTMS has been supporting clients in this model for years – providing top experts and teams, building long-term relationships based on trust and shared goals.

Let’s talk – we’ll tailor the cooperation model to your project. Contact us.

What is the difference between Time & Material and Staff Augmentation?

While both offer flexibility, Time & Material refers to billing for work completed over time, often in a project context. Staff Augmentation focuses on providing personnel to extend internal teams. T&M may include team delivery, project milestones, and shared goals—beyond just supplying resources.

Is the Time & Material model more expensive than Fixed Price?

Not necessarily. Although T&M lacks a fixed upfront budget, it often avoids overpayment by billing only for actual work done. Fixed Price contracts may include large risk buffers, while T&M enables better cost control if well-managed.

How do you control scope and costs in a Time & Material project?

T&M requires strong project governance—typically involving time tracking, regular reporting, sprint reviews, and clear communication. Clients remain actively involved, adjusting priorities and validating outcomes in real time.

Is Time & Material suitable for regulated industries like pharma or finance?

Yes. When combined with proper documentation, validation, and quality controls, T&M can meet industry compliance needs. It’s especially useful in complex environments where detailed requirements evolve during the project lifecycle.

Can we start with Time & Material and switch to Fixed Price later?

Absolutely. Many companies begin with T&M for discovery, MVPs, or early development. Once scope stabilizes, transitioning to a Fixed Price or hybrid model is common—ensuring flexibility early on and predictability later.

TTMS blog – the world through the eyes of IT experts

Blackout 2025: Preventing Power Outages with Real-Time Network Management Systems (RT-NMS)

On April 28, 2025, the eyes of all of Europe turned to the Iberian Peninsula. This was due to a sudden failure that, in just five seconds, deprived almost 100% of the territory of two countries—Spain and Portugal—of electricity. It is estimated that at the peak of the event, more than 50 million people had no access to electric power. The incident caused serious disruptions to public transportation, communications, healthcare, and financial services. The cause of the failure is still under investigation, and various hypotheses are being considered. In this article, we will examine one of them—related to maintaining the stability of the power grid. We will attempt to explain the role that RT-NMS systems play in preventing critical situations caused by sudden changes in energy production. 1. How RT-NMS Systems Improve Power Grid Stability and Prevent Blackouts Real-Time Network Management Systems are advanced IT platforms used by energy system operators (TSOs and DSOs) to monitor, control, and optimize the operation of the power grid in real time. Thanks to these systems, it is possible to respond on an ongoing basis to changes in energy production, transmission, and consumption. What do these systems do? They collect data from thousands of sensors, meters, transformer stations, and renewable energy farms. They monitor network parameters—such as voltage, frequency, line load, and power flows. They detect anomalies—for example, overloads, failures, voltage drops, and instabilities. They make automatic decisions—such as disconnecting a section of the grid or activating reserves. They enable remote control—of energy flows, power plants, and battery storage systems. They help forecast risks—through integration with weather forecasts and AI algorithms. These systems work very closely together, creating an integrated ecosystem that enables comprehensive management of the energy infrastructure—from power plants to end users. Each of the systems has its own specialization, but their synergy is key to ensuring the safety and efficiency of the grid. A Practical Example in Action: ➡ When photovoltaic farms suddenly stop producing electricity (e.g., due to cloud cover), SCADA detects the power drop → EMS activates reserves in a gas-fired power plant → DMS reduces consumption in less critical areas → the system maintains voltage and prevents a blackout. 2. Renewable Energy Challenges for Grid Stability and Frequency Control Experts point out that real-time network management systems were not sufficiently prepared for the blackout that occurred on April 28, 2025, in Spain and Portugal. Although there was no technical failure of these systems, their ability to respond rapidly to sudden disturbances was limited. Pratheeksha Ramdas, a senior analyst at Rystad Energy, noted in an interview with The Guardian that while renewable energy sources cannot be definitively blamed for the blackout, their growing share in the energy mix may make it harder to absorb frequency disturbances. She emphasized that many factors—such as system failure or weak transmission lines—could have contributed to the event. Meanwhile, Miguel de Simón Martín, a professor at the University of León, stated in WIRED that grid stability depends on three key factors: a well-connected transmission network, appropriate interconnections with other systems, and the presence of so-called “mechanical inertia” provided by traditional power plants. He pointed out that the Spanish power grid is poorly interconnected with the rest of Europe, which limits its ability to respond to sudden disruptions. 3. Critical Factors in Real-Time Power Grid Management Systems The rapid response of the power system to disruptions is the result of many interrelated elements. Automation alone is not enough – what matters is the quality of data, availability of resources, efficient organization and anticipation of possible scenarios. Below we discuss the key areas that are critical to effective real-time operation. 3.1 Technological foundations of rapid response in the power system How quickly and effectively a power grid management system can react to sudden disturbances—such as failures, overloads, or rapid drops in power—is not a matter of chance. Many interdependent elements are at play: from technology and network architecture to the quality of data and control algorithms, all the way to how the people responsible for system security are organized. Let’s take a closer look at these components. In order for the power system to respond effectively to disturbances, real-time data availability is essential. The faster data from meters, sensors, and devices reaches the system, the faster it can react. This requires fast communication protocols, a large number of measurement points (telemetry), and minimal transmission delays (latency). The second key element is automated decision-making algorithms based on artificial intelligence and machine learning. These enable systems to independently detect anomalies and make immediate decisions without human involvement. An example would be the automatic activation of power reserves or redirection of energy flow. Another necessary condition for effective response is the availability of power reserves and energy storage. Even the best-designed system cannot react effectively if it lacks sufficient resources. Fast reserves include industrial batteries, gas-fired power plants with short start-up times, and flexible consumers such as industries capable of temporarily reducing energy usage. Integration with distributed energy resources (DER)—such as photovoltaic farms, wind turbines, prosumers, or energy storage systems—is also crucial. The system must have visibility and control over these elements, because a lack of integration may cause them to disconnect automatically during disturbances instead of supporting grid stability. 3.2 Organizational factors and the importance of planning The design of the power grid itself—its topology and redundancy—is another important aspect. The more flexible and disturbance-resistant the grid is, for example through interconnections with other countries, the easier it is to respond. “Islanded” grids, like the one on the Iberian Peninsula, have significantly fewer options for importing energy in emergency situations. Operator and crisis team capabilities cannot be overlooked. Even the most advanced and automated systems require the presence of well-trained personnel who can quickly interpret data and respond appropriately in unusual situations. Lastly, the level of prediction and planning plays a critical role. The better the system can forecast risks—such as drops in renewable energy output or sudden demand spikes—the better it can prepare, for instance by activating power reserves in advance. 4. Lessons from the Iberian Power Outage: Root Causes and System Response Although experts consider the stability of technological infrastructure in the energy sector to be crucial in the context of the recent blackout, the Spanish system operator has not issued an official statement on the matter. The latest official statement from Red Eléctrica de España (REE) regarding the April 28, 2025 blackout confirms that by 7:00 a.m. on April 29, 99.95% of electricity demand had been restored. Additionally, REE submitted all the required data to the Commission for Energy Crisis Analysis. So, what was the official cause of the April blackout on the Iberian Peninsula? We will likely find out after the appropriate authorities complete their investigation. 5. Is the U.S. and Europe at Risk of the Next Major Power Grid Blackout? According to a report by the North American Electric Reliability Corporation (NERC), about half of the United States is at risk of power shortages within the next decade. Regions such as Texas, California, New England, the Midwest, and the Southwest Power Pool (SPP) may experience power outages, especially during extreme weather events or periods of peak demand. The situation is no different in Europe. The European Union faces the challenge of modernizing its energy grid. More than half of its transmission lines are over 40 years old, and infrastructure investments are struggling to keep up with the rapid development of renewable energy sources. The International Energy Agency (IEA) recommends doubling investments in energy infrastructure to $600 billion annually by 2030 to meet the demands of the energy transition. It is worth noting that the traditional power grid was designed around large, predictable energy sources: coal, gas, hydroelectric, and nuclear power plants. Today, however, the energy mix increasingly relies on renewable sources, which are inherently unstable. The sun sets, the wind calms down—and if the right technological safeguards are not in place at that moment, the grid starts to lose balance. This can be avoided through technological transformation in the energy sector. 6. TTMS IT Solutions for Energy: Real-Time Grid Management and Blackout Prevention Today’s power grid management is not just about responding to outages, but more importantly, predicting and preventing them in real time. An efficient IT infrastructure and the availability of physical assets and predictive data are the foundation of digital system resilience. Check out how TTMS supports this. 6.1 Real-time responsive IT infrastructure Modern real-time IT infrastructure plays a key preventive role in ensuring the continuous operation of power systems. Advanced network management systems—such as SCADA, EMS, and DMS—constantly monitor critical grid parameters, including voltage, power flow, and frequency. In the event of a sudden disturbance, this infrastructure triggers immediate responses—dynamically rerouting power flows, activating available reserves, and communicating with distributed energy resources (DER) and storage systems. 6.2 The importance of physical executive resources However, the effectiveness of these actions depends not only on the software but also on the availability of appropriate physical resources. A system cannot respond effectively if it lacks actual execution capabilities. These include gas-fired power plants with short start-up times, industrial batteries capable of delivering energy instantly, frequency stabilizing devices (e.g., capacitors), and cross-border infrastructure enabling the import of electricity from outside the country. In practice, these elements determine the grid’s resilience to disturbances. 6.3 Risk forecasting and integration of TTMS solutions An essential complement to this entire ecosystem are predictive tools—including forecasting models based on artificial intelligence. Thanks to these tools, it is possible to identify risks in advance and respond proactively. If the system predicts a production drop of several gigawatts within the next few minutes, it can preemptively activate storage resources, initiate load reduction among industrial consumers, or reconfigure the transmission network. Transition Technologies MS (TTMS) supports the energy sector in building digital resilience and managing the grid in real time. We provide comprehensive IT solutions that enable the integration of SCADA, EMS, DMS, and DERMS systems with predictive tools, allowing for uninterrupted monitoring and automatic responses to network anomalies. We help our partners implement intelligent mechanisms for managing energy production, distribution, and storage, as well as design predictive models using AI and weather data. As a result, operators can better plan their actions, reduce the risk of blackouts, and make faster, better-informed decisions. Today’s energy infrastructure is no longer just cables and devices—it is an integrated, intelligent ecosystem in which digital decision-making mechanisms and physical resources complement each other. It is this synergy that determines the system’s stability in times of crisis. Explore how TTMS can help your utility ensure real-time energy resilience. Contact us or visit our Energy IT Solutions page. Looking for quick insights or a fast recap? Start with our FAQ section. Here you’ll find clear, to-the-point answers to the most important questions about the 2025 blackout, real-time energy management systems, and the future of power grid stability. FAQ What caused the April 2025 blackout in Spain and Portugal? The exact cause of the April 2025 blackout is still under investigation by relevant authorities. However, experts point to the growing complexity of the power grid and challenges in maintaining stability amid a rising share of renewable energy sources. Although Red Eléctrica de España ruled out a cyberattack and reported no intrusion into control systems, factors like poor interconnections with the European grid and a lack of mechanical inertia may have contributed. Real-time systems were not technically at fault but struggled to react fast enough to a sudden disturbance. A final report is expected after the official analysis concludes. How do RT-NMS systems prevent blackouts? Real-Time Network Management Systems (RT-NMS) help prevent blackouts by continuously monitoring energy production, transmission, and consumption across the grid. They collect data from sensors and devices, detect anomalies, and make automated decisions—such as rerouting power or activating reserves. Integrated with tools like SCADA, EMS, and DMS, they enable fast, remote response to disruptions. When paired with AI algorithms and predictive analytics, RT-NMS systems can even anticipate potential risks before they escalate. Their effectiveness depends on both smart software and access to physical resources like storage or backup power. What are the challenges of integrating renewable energy with power grids? Renewable energy sources like solar and wind are variable and less predictable than traditional power generation. This instability can cause frequency imbalances or sudden power drops, especially when clouds block sunlight or wind dies down. Without proper grid integration and fast-reacting systems, these fluctuations can threaten stability. Experts emphasize the importance of real-time monitoring, mechanical inertia, and predictive tools to absorb such disturbances. Poorly connected grids, like the one on the Iberian Peninsula, face additional challenges due to limited backup from neighboring networks. What technologies are needed to modernize energy infrastructure? Modern energy infrastructure requires advanced real-time IT systems—such as SCADA, EMS, and DMS—capable of detecting and responding to network anomalies within seconds. AI-driven forecasting tools enhance proactive risk mitigation, while fast communication protocols and low-latency telemetry ensure rapid data transfer. Physical assets like industrial batteries, fast-start gas turbines, and cross-border transmission lines are also critical. Integration with distributed energy resources (DERs) and energy storage systems increases flexibility and resilience. A combined digital-physical approach is key to supporting the renewable energy transition and preventing future blackouts.

What Is a Temporary Chat in ChatGPT? Everything You Need to Know

What Is a Temporary Chat in ChatGPT? Everything You Need to Know As AI tools like ChatGPT become increasingly popular, users seek more control over their data and interactions. One useful feature that supports privacy-conscious and casual usage is the Temporary Chat. But what exactly is a Temporary Chat in ChatGPT, and how does it work? In this article, we’ll explain its purpose, benefits, limitations, and availability—helping you decide if it’s the right option for your needs. What Is a Temporary Chat? A Temporary Chat in ChatGPT is a conversation that isn’t saved to your chat history. Unlike regular chats, these sessions do not appear in your chat sidebar, and won’t be used to train OpenAI’s models (unless you opt in to share feedback). Temporary Chats are ideal for short, one-time interactions where you don’t want to store any context or personal information. Think of it as ChatGPT’s “incognito mode.” Benefits of Using a Temporary Chat Here are some key advantages of using Temporary Chat: 1. Enhanced Privacy Temporary Chats are not stored in your account history. This means you can ask questions without worrying that the conversation will be saved or referenced later. 2. No Impact on Training Data OpenAI does not use Temporary Chat conversations to train its models by default, which adds another layer of data privacy. 3. Clean Slate Every Time Each Temporary Chat starts fresh. ChatGPT has no memory of past messages, which is ideal for users who want unbiased or unlinked answers. 4. Quick and Simple You don’t need to manage or delete history—everything disappears automatically after the session ends. Who Should Use Temporary Chats? Temporary Chats are useful for: Privacy-conscious users who prefer not to leave digital footprints. New users testing the tool without committing to an account or long-term interaction. Professionals handling sensitive or confidential questions. Students and researchers conducting quick fact-checks or one-off tasks. Developers experimenting with prompts in isolation. Where to Find the Temporary Chat Option To start a Temporary Chat in ChatGPT: Open ChatGPT and log into your account. Click on the “+ New Chat” button. On the left side at the top, look for the “Temporary Chat” option. Start chatting—the session will not be saved to history. You can also access Temporary Chat via direct links or when using ChatGPT without an active login in some cases. Limitations of Temporary Chats While useful, Temporary Chats come with some limitations: No memory or continuity: The model does not remember previous messages after the session ends. Limited personalization: Since the chat is stateless, you don’t get customized replies based on past interactions. Unavailable features: Some advanced features tied to memory or custom instructions may not be accessible. No chat history recovery: Once closed, the conversation cannot be retrieved. Which Plans Include Temporary Chat? Temporary Chat is available on all plans, including: ✅ Free Plan (GPT-3.5) – fully accessible. ✅ ChatGPT Plus (GPT-4) – available alongside advanced model access. Note: While all users can start Temporary Chats, access to GPT-4 and other premium tools depends on your subscription. Final Thoughts Temporary Chat is a powerful and flexible feature that gives users more control over their data and privacy. Whether you’re handling sensitive topics or just exploring AI without commitment, this feature ensures a secure and distraction-free experience. Looking for a private, no-strings-attached chat? Temporary Chat is your go-to solution. 💡 Pro Tip: Want to keep your chat data private and benefit from memory features when needed? You can toggle memory on or off per chat in your settings. Want to Go Beyond Temporary Chat? While Temporary Chat is a great starting point for secure and casual conversations, the true potential of ChatGPT and other AI tools lies in their ability to transform how businesses operate. Whether you’re exploring AI-powered automation, customer support, or data-driven decision-making, we can help you unlock that potential. At Transition Technologies MS (TTMS), we specialize in creating tailored AI solutions for businesses—from prototypes and pilots to enterprise-scale integrations using tools like ChatGPT, Azure OpenAI, and more. Discover how we can help your business grow with AI →

Salesforce Net Zero Cloud – How to Prepare Your Company for Mandatory ESG Reporting (CSRD)

Starting in 2025, thousands of companies across the European Union will face new ESG reporting obligations under the Corporate Sustainability Reporting Directive (CSRD). Businesses will be required to provide detailed information about their environmental and social impact, as well as their governance practices, in accordance with the European Sustainability Reporting Standards (ESRS). This marks a significant shift that requires both organizational preparation and the implementation of appropriate tools. In response to these challenges, companies are increasingly turning to modern solutions such as Salesforce Net Zero Cloud, which automates data collection and ensures regulatory compliance. In this article, we explain how to prepare your company for mandatory ESG reporting and how technology can simplify the process. 1. What Is a Sustainability Report? A Sustainability Report is a document in which an organization presents information about its impact on the environment, social issues, and corporate governance. The goal is to provide transparency about the company’s ESG (Environmental, Social, Governance) activities. 1.1 What Does a Sustainability Report Include? Typical contents include: Greenhouse gas emissions (GHG) – covering Scope 1, 2, and 3 emissions Resource consumption – energy, water, raw materials Waste management – amount of waste generated, recycling efforts Social impact – employment policies, gender equality, workplace safety Corporate governance – transparency in management, business ethics, anti-corruption measures Community engagement – social initiatives, cooperation with NGOs 1.2 Why Is Sustainability Reporting Important? Regulatory requirements – in the EU, large companies must report in line with the CSRD Stakeholder trust – investors, customers, and partners increasingly expect ESG transparency Risk management – helps companies identify and mitigate environmental and social risks Brand building – sustainability-conscious companies gain a competitive edge 1.3 Reporting Standards Commonly used reporting standards include: GRI (Global Reporting Initiative) – the most popular and comprehensive framework SASB – focuses on disclosures relevant to investors TCFD – recommendations for disclosing climate-related risks CDP – climate data disclosure system GHG Protocol – international standard for measuring and reporting greenhouse gas emissions ESRS (European Sustainability Reporting Standards) – developed by EFRAG for companies subject to CSRD 1.4 Who Publishes Such Reports? Primarily: Multinational corporations Publicly listed companies Financial institutions Large enterprises in the EU (mandatory from 2024/2025 under CSRD) 2. How to Prepare Your Company for Mandatory ESG Reporting (CSRD) Implementing mandatory ESG reporting in line with the CSRD directive requires both technological and organizational changes. Here are five key steps every organization should take: 1. Understand the New Regulatory Requirements Familiarize yourself with the CSRD directive and reporting standards (ESRS, GRI, TCFD). Identify which aspects of your business are subject to reporting. Determine your compliance timeline (for many companies, this starts in 2025 for the 2024 reporting year). 2. Assess Your Organization’s ESG Maturity Evaluate whether your company already collects ESG data and how it is gathered. Identify gaps: missing data, inconsistent sources, lack of systems for data aggregation. Conduct a gap analysis to assess compliance readiness with CSRD requirements. 3. Build a Project Team and Engage Leadership ESG should not be siloed within a single department. Collaboration is needed across departments: finance, IT, operations, HR, and compliance. Management’s role: set ESG goals and align them with overall business objectives. 4. Invest in ESG Management Tools Move beyond spreadsheets and adopt professional solutions like Salesforce Net Zero Cloud. This enables: Automated data collection from multiple systems Compliance with reporting formats (e.g., ESRS) Emissions analysis and forecasting (Scope 1, 2, and 3) Transparent and auditable data 5. Establish a Continuous ESG Process and Culture ESG is not a once-a-year report — it’s an ongoing process. Plan for regular data updates, KPI reviews, and employee training. Preparing your organization for mandatory ESG reporting under the CSRD is a complex process that requires a strategic approach, cross-departmental engagement, and investment in the right tools. It’s not just about meeting regulatory obligations — it’s about building a culture of ESG throughout the company. Although implementing these changes can be challenging, the right technological support — such as Salesforce Net Zero Cloud — significantly simplifies the process. 3. What Is Salesforce Net Zero Cloud? Salesforce Net Zero Cloud is an advanced platform for comprehensive sustainability management and ESG (Environmental, Social, Governance) reporting. It was developed in response to the growing need among companies to effectively monitor and reduce their carbon footprint. Net Zero Cloud serves as a centralized repository for a company’s environmental data, collecting information from various sources such as: Energy consumption in buildings and facilities Emissions from corporate transportation Waste management Emissions across the value chain (Scope 3) The platform transforms this raw data into actionable insights and analytics, supporting informed business decisions aimed at sustainable growth. Salesforce Net Zero Cloud Dashboard 3.1 Key Advantages of Net Zero Cloud Salesforce’s solution stands out thanks to several important features: Versatility – a platform adaptable to various industries and organization sizes Scalability – grows alongside your company and evolving reporting needs Regulatory compliance – automatically aligns with CSRD and other reporting standards Ease of integration – seamlessly connects with existing Salesforce systems and other business tools Thanks to these qualities, both small companies beginning their sustainability journey and large multinational corporations with complex structures can effectively benefit from this solution. 4. How Does Net Zero Cloud Work? Salesforce Net Zero Cloud operates as a comprehensive emissions management and ESG reporting system, leveraging advanced technology to transform how organizations track their carbon footprint. 4.1 Automated Data Collection and Integration At the core of the platform is the automation of data collection and integration from various organizational sources. By utilizing tools like MuleSoft, the platform: Eliminates tedious, manual data entry Saves time Minimizes the risk of human error Ensures consistency and reliability of the collected data 4.2 Platform Features and Capabilities Overview Net Zero Cloud offers a powerful suite of features designed to support a holistic approach to sustainability management: Climate Action Dashboard – an interactive interface providing a comprehensive view of emissions, resource consumption, and progress toward climate goals. It enables real-time tracking of ESG metrics, comparison with targets, and identification of areas requiring action. Detailed Emissions Tracking by Scope (Scope 1, 2, and 3) – in line with the Greenhouse Gas Protocol, the platform allows for identifying and classifying emissions across all three scopes, providing a clear picture of the organization’s total carbon footprint. This supports reporting in compliance with international standards, including CSRD and GRI. Scope 3 Emissions Hub – a dedicated module for monitoring emissions across the entire value chain, including suppliers, logistics partners, and other external stakeholders. It enables data collection from multiple sources, normalization, and climate risk assessment in a B2B context. Scenario Simulation – an advanced analytics tool that models future emissions based on strategic decisions (e.g., switching suppliers, investing in renewable energy, upgrading machinery). This functionality helps companies not only respond to current challenges but also proactively plan and optimize their long-term climate strategies. Interactive charts enable detailed tracking of emissions across the entire organization. 4.3 Emissions Data Management Managing emissions data in Net Zero Cloud is a multi-step process: Collecting raw data on energy consumption, transportation, and other emission sources Automatically converting this data into CO₂ equivalents using built-in emission factors Consolidating the information into a central repository – a single source of truth Monitoring progress toward reduction goals with real-time tracking capabilities This centralized approach simplifies audits and certifications while also enhancing cross-department collaboration, allowing sustainability, operations, and finance teams to work with the same up-to-date information. 4.4 The Role of Artificial Intelligence in ESG Reporting Net Zero Cloud leverages advanced AI and machine learning algorithms, including Salesforce’s Einstein technology, to optimize ESG reporting processes: Automatically analyzes historical emissions data to identify trends and anomalies Intelligently fills data gaps using predictive models, flagging inconsistencies and suggesting corrections Identifies high-emission areas and recommends potential reduction actions Offers advanced data visualization through integration with Tableau This predictive analytics approach enables organizations to act proactively rather than simply reacting to issues after they occur. 5. Benefits of Implementing Salesforce Net Zero Cloud Implementing Net Zero Cloud provides organizations with a wide range of tangible benefits that go well beyond merely meeting ESG reporting requirements. 5.1 Accurate Emissions Tracking and ESG Data Management Net Zero Cloud allows for precise monitoring of greenhouse gas emissions across Scope 1, 2, and 3 by consolidating data from multiple sources, including energy use, business travel, and supplier activity. This gives companies a comprehensive view of their carbon footprint and supports effective ESG data management. 5.2 Automated Reporting and Regulatory Compliance The platform automates reporting processes and provides ready-to-use templates aligned with global standards such as the GHG Protocol, CDP, and CSRD. This simplifies compliance and enhances transparency for stakeholders. 5.3 Advanced Analytics and Forecasting Thanks to its built-in analytics tools, Net Zero Cloud enables the modeling of different emissions reduction scenarios, forecasting of future emissions, and identification of areas needing improvement. This supports informed, strategic decision-making. Built-in analytics tools enable customization of reports and visualizations. 5.4 Supplier Engagement and Supply Chain Management The platform facilitates collaboration with suppliers through dedicated portals, enabling data collection on emissions across the entire value chain. This fosters joint efforts toward reducing the carbon footprint and improving supply chain transparency. 5.5 Reduction of Operational Costs By identifying areas with high energy consumption and emissions, companies can implement optimization measures that lead to reduced operational costs and improved energy efficiency. 5.6 Strengthened Reputation and Investor Appeal Transparent reporting and tangible sustainability actions build a positive brand image, helping attract environmentally conscious investors and customers. Demonstrating ESG commitment can also become a key differentiator in competitive markets. 5.7 Scalability and Integration with the Salesforce Ecosystem Net Zero Cloud is a flexible solution adaptable to the needs of organizations of all sizes and industries. Its integration with other Salesforce products—such as Sales Cloud and Service Cloud—enables unified data and process management across the enterprise. 6. How Different Industries Benefit from Implementing Net Zero Cloud Deploying Net Zero Cloud offers tangible advantages across industries—each facing unique emissions sources, data structures, and regulatory expectations. Below are examples of how specific sectors can leverage the platform to meet ESG requirements and gain a competitive edge: 6.1 Manufacturing and Heavy Industry Real-time tracking of Scope 1 and 2 emissions (e.g., furnaces, production lines, fuel combustion) Identification of the most emission-intensive processes with optimization opportunities (e.g., upgrading equipment, switching to renewable energy) Proof of compliance with environmental regulations (e.g., EU ETS, ISO 14001 standards) Support in obtaining “green industry” certifications, increasing appeal to international partners Interactive reports allow you to monitor the parameters that matter most to your organization. 6.2 Transport and Logistics Detailed analysis of emissions from vehicle fleets (Scope 1) and deliveries (Scope 3) Scenario modeling capabilities (e.g., what if 20% of the fleet switched to electric vehicles?) Better management of fuel costs and CO₂ emissions A value proposition for e-commerce and retail clients, who increasingly require ESG reporting from suppliers 6.3 Banking and Financial Sector ESG scoring of clients and investments—integrating ESG data into credit and investment processes Compliance with the EU taxonomy and SFDR regulations (for investment funds) Building investor and client trust through transparent reporting of a portfolio’s climate impact Identifying climate-related risks (e.g., exposure to carbon-intensive sectors) 6.4 Retail and FMCG Sector Monitoring emissions throughout the supply chain (Scope 3) Better waste management and energy consumption tracking in stores and logistics centers Ability to label products as “low-emission” or “sustainable” based on system data Addressing consumer and retailer demands (e.g., from Lidl, Carrefour, Amazon) for climate accountability 6.5 Hospitality and Commercial Real Estate Managing energy usage in buildings (Scope 2) and optimizing HVAC system operations Supporting LEED/BREEAM certifications—Net Zero Cloud can serve as an audit foundation Tracking water consumption, waste emissions, and the carbon footprint of guests Competitive advantage in bids and for B2B clients focused on ESG criteria 6.6 Technology and IT Services Emissions from offices and data centers—integration with energy management systems Supporting corporate clients in their ESG strategies (Net Zero Cloud as part of service offerings) ESG reporting as a competitive edge in B2B sales and international tenders These are just a few common use cases—Net Zero Cloud adapts to the specific needs of each industry, automates data collection from various sources, and supports both regulatory compliance and tangible competitive advantage. Want to know how Net Zero Cloud can support your company? Contact us, and we’ll show you how to unlock the platform’s full potential. 7. Implementing Salesforce Net Zero Cloud with TTMS Rolling out Net Zero Cloud is a complex process that requires not just technical knowledge but also a deep understanding of ESG principles and industry-specific needs. TTMS offers end-to-end support at every stage of implementation. 7.1 Our Implementation Approach TTMS applies a methodology that combines proven project management practices with the flexibility to meet each organization’s individual requirements: In-depth preliminary analysis – understanding your business goals and ESG strategy Organizational maturity assessment – identifying available data sources and potential challenges Realistic implementation roadmap – setting clear milestones and expected outcomes Future-proof configuration – anticipating regulatory changes and sustainability trends 7.2 TTMS’s Unique Competencies and Experience The TTMS team brings together unique capabilities, including: Deep expertise in Salesforce technologies Specialist knowledge of ESG standards and regulations Proven experience in business transformation projects The ability to align environmental goals with financial performance 7.3 Comprehensive Post-Implementation Support TTMS goes beyond technical deployment, offering: Training programs tailored to different user groups Organizational change workshops to support adoption Ongoing system performance reviews Advisory services to optimize ESG strategy By choosing TTMS as your implementation partner, your organization gains access to a multidisciplinary team of sustainability experts, enabling a holistic approach to ESG transformation and maximizing the business value of Salesforce Net Zero Cloud. What is Salesforce Net Zero Cloud? Salesforce Net Zero Cloud is a comprehensive sustainability management platform designed to monitor, analyze, and report ESG (Environmental, Social, Governance) initiatives. This advanced cloud solution: Integrates seamlessly with the broader Salesforce ecosystem Tracks greenhouse gas emissions across all three scopes (Scope 1, 2, and 3) Automatically converts data on energy consumption, transportation, and other activities into CO₂ equivalents Enables both real-time monitoring of the carbon footprint and forecasting of future emissions A standout feature of Net Zero Cloud is its robust capability to track Scope 3 emissions, which are often the most challenging for companies striving for carbon neutrality. What is a sustainability report? A sustainability report (or ESG report) presents a comprehensive overview of an organization’s performance and initiatives in the environmental, social, and governance domains. It goes beyond traditional financial reporting and typically includes: Greenhouse gas emissions and reduction strategies Natural resource usage (water, energy, materials) Waste management and circular economy practices Diversity, equity, and inclusion in the workplace Supply chain practices and human rights policies Community engagement and philanthropy Business ethics and governance transparency A high-quality ESG report is based on reliable data, follows recognized reporting standards, focuses on material issues for the industry and stakeholders, and presents both successes and challenges. It also includes specific, measurable goals and performance indicators. What are the key challenges in implementing Net Zero Cloud? The three main challenges organizations typically face when implementing Net Zero Cloud are: Data challenges – identifying all emission sources and managing large volumes of data that must be collected and analyzed Knowledge gaps – Net Zero Cloud is a relatively new technology with limited implementation precedents to learn from System integration – transitioning from spreadsheets to a modern platform requires careful planning and often involves complex data integration issues Effective strategies to overcome these challenges include: Partnering with experienced implementation experts Standardizing data collection processes Leveraging advanced analytics and visualization tools to transform complex data into actionable insights

Seeing More Than the Human Eye – AI as a Battlefield Analyst

The modern battlefield is not only a physical space but also a dynamic digital environment where data and its interpretation play a crucial role. With the growing number of sensors, drones, cameras, and radar systems, the military now has access to an unprecedented amount of information. The challenge is no longer data scarcity but effective analysis. This is where Artificial Intelligence (AI) steps in, revolutionizing reconnaissance and real-time decision-making. AI as a Digital Scout Traditional intelligence data analysis methods are time-consuming and prone to human error. AI changes the rules of engagement by enabling: automatic object recognition in satellite and video imagery, detection of anomalies in troop movements and activity, identification of enemy behavior patterns based on historical data, real-time analysis of audio, visual, and sensor data, classification and prioritization of threats using risk models. Thanks to machine learning (ML) and deep learning (DL), AI systems can not only identify vehicles, weapons, or military infrastructure but also distinguish between civilian and military objects with high accuracy. Image analysis algorithms can rapidly compare current data with historical records to detect changes that may indicate military activity. For example, an AI system can detect a newly established missile site by analyzing differences in satellite imagery over time. AI Supports Decisions, It Doesn’t Replace Commanders Artificial Intelligence does not replace commanders – it provides ready-to-use analysis and recommendations that support fast and accurate decisions. So-called “intelligent command dashboards” integrated with AI systems enable: analysis of projectile trajectories and prediction of impact points, risk assessment for specific units and areas of operation, generation of dynamic situational maps that reflect enemy movement, correlation of data from multiple sources, including: Radar: provides real-time movement tracking, SIGINT (Signals Intelligence): analyzes intercepted electronic signals, e.g., enemy radio communication, HUMINT (Human Intelligence): includes data from agents, soldiers, and local informants, OSINT (Open Source Intelligence): utilizes publicly available data from social media, news, and live feeds. AI also supports mission planning by analyzing “what if” scenarios. For example: what happens if the enemy moves 10 km west – will our forces maintain the advantage? These tools significantly increase situational awareness, which is crucial during rapid conflict escalation. Examples of AI Use in Global Defense Project Maven (USA): A U.S. Department of Defense initiative that uses AI to automatically analyze drone video footage, detecting objects and suspicious behavior without human analysts. NATO Allied Command Transformation: Using AI systems to support decision-making across multi-domain environments (land, air, sea, cyber, space). Israel: The Israeli military uses AI to merge real-time intelligence from multiple sources, enabling precision strikes within minutes of identifying a target. TTMS and AI Projects for the Defense Sector Transition Technologies MS (TTMS) delivers solutions in data analytics, image processing, and Artificial Intelligence, supporting defense institutions. Our experience includes: designing and implementing AI models tailored to military needs (e.g., object classification, change detection, predictive analytics), integrating with existing IT and hardware infrastructure, ensuring compliance with security standards and regulations (including NIS2), building applications that analyze data from radars, drones, optical and acoustic sensors. The systems we develop enable faster and more precise data processing, which on the battlefield can translate into real operational advantage, shorter response time, and fewer losses. The Future: Predicting Enemy Actions and Autonomous Operations The most advanced AI systems not only analyze current events but also predict future scenarios based on past patterns and live data. Predictive models, based on deep learning and multifactor analysis, can support: detection of offensive preparations, prediction of enemy troop movements, assessment of enemy combat readiness, automation of defensive responses, e.g., via C-RAM (Counter Rocket, Artillery, and Mortar) systems – these are automated defense platforms that detect, track, and neutralize incoming rockets, artillery shells, and mortars before impact. C-RAM systems use a combination of radar, tracking software, and rapid-fire weapons (such as the Phalanx system), while AI enhances threat detection, classification, and timing of countermeasures. In the near future, AI will also become the backbone of autonomous combat units – land, air, and sea-based vehicles capable of independently analyzing their surroundings and executing missions in highly uncertain environments. Artificial Intelligence is no longer a futuristic concept but a real tool enhancing national security. TTMS, as a technology partner, is actively shaping this transformation by offering proven, defense-tailored solutions. Want to learn how AI can support your institution? Contact us! What is the Phalanx system? The Phalanx system is an automated Close-In Weapon System (CIWS) primarily used on naval ships and in some land-based versions. It neutralizes incoming threats such as missiles, artillery, or mortars before they strike. It includes radar and a rapid-fire 20mm Gatling gun that automatically tracks and eliminates targets. It’s a key component of C-RAM defense layers. How does the Israeli army use AI to integrate real-time intelligence? The Israeli military integrates intelligence from various sources (SIGINT, HUMINT, drones, satellites, cameras) using AI-powered systems. These algorithms analyze real-time data to identify threats and targets, allowing for precise strikes within minutes of detection. What is NIS2? NIS2 is the updated EU directive on network and information system security, replacing NIS1. It expands cybersecurity responsibilities for essential service operators (including defense) and digital service providers. It includes risk management, incident reporting, and supply chain evaluation requirements. What are C-RAM systems? C-RAM (Counter Rocket, Artillery, and Mortar) systems detect, track, and neutralize incoming projectiles before they reach their targets. They use advanced radar, optics, and weapons like the Phalanx CIWS. AI supports these systems by automating threat detection and engagement decisions. What is SIGINT? SIGINT (Signals Intelligence) involves intercepting and analyzing electromagnetic signals, including communications (e.g., radio) and non-communications (e.g., radar). AI can analyze massive volumes of SIGINT data to detect military activity patterns and anomalies. What is HUMINT? HUMINT (Human Intelligence) is based on information gathered from human sources – agents, soldiers, and local informants. While harder to automate, AI helps assess report consistency, translate languages, and cross-reference with other intelligence. What is OSINT? OSINT (Open Source Intelligence) refers to intelligence from publicly available sources – social media, news outlets, livestreams, and open satellite imagery. AI plays a key role in filtering and identifying relevant insights in real-time from vast data pools.

AI and Copilot in Power BI – How Artificial Intelligence Transforms Data Analysis

The development of artificial intelligence (AI) has significantly influenced how businesses analyze and present data. Microsoft Copilot in Power BI is an advanced AI-powered tool that automates report creation, data interpretation, and anomaly detection, making data analysis more intuitive and accessible for all users—regardless of their technical expertise. What is Microsoft Copilot in Power BI? Microsoft Copilot is an advanced AI assistant that is part of the Microsoft ecosystem and is used in many applications, including Power BI. In the context of Power BI, Copilot acts as a tool supporting users in data analysis, report generation and interpretation of results without the need to manually create queries or configure visualizations. It allows users to communicate with data in a natural way – by entering questions in English – and then automatically generates appropriate reports and conclusions. Thanks to it, you can create dashboards, analyze trends and quickly respond to market changes without having to know DAX or M coding. Microsoft has chosen to integrate Copilot with Power BI in response to the needs of companies that seek to automate and simplify data analysis. The tool is designed to accelerate business processes, eliminate human error, and facilitate strategic, data-driven decisions. How to Access Copilot in Power BI? Copilot in Power BI is available to users with a Power BI Premium or Power BI Pro license and access to Microsoft Fabric. To activate Copilot, your organization’s administrator must enable it in Microsoft Fabric settings. Copilot is being rolled out in preview across regions, so some users may not have access to it yet. How to Enable Copilot in Power BI? Log in to Power BI Service as an administrator. Navigate to Admin Settings. Locate the Copilot option under the Microsoft Fabric section. Enable Copilot for the organization and assign access to users. What are the Requirements for Copilot in Power BI? To use Copilot, users must meet the following requirements: Power BI Pro or Power BI Premium license Microsoft Entra ID account (formerly Azure AD) Administrator permissions to enable Copilot in Power BI Service Access to Microsoft Fabric The latest version of Power BI Desktop What are the Features of Copilot in Power BI? Microsoft Copilot in Power BI offers a wide range of functionalities that improve data analysis, reporting, and business decision-making. Its main advantage is the use of artificial intelligence to automate analytical processes, which eliminates the need for manual report preparation or analyzing complex queries. Copilot integrates with the Power BI interface, allowing users to interact using natural language. Here are the key features that make Copilot a powerful analytical tool: 1. Report Generation Using Natural Language Queries Copilot enables users to create reports without having to manually define data sources, select visualizations, or configure filters. Simply enter a question, such as “Show me sales by region for the last three months,” and Copilot automatically generates the appropriate report and adjusts the data formatting. Users can also edit reports with simple text commands, such as “Add a line chart to the report” or “Change the X-axis to sales dates.” 2. Automated Narrative Generation and Insights Interpretation Copilot not only creates visualizations, but also provides descriptive summaries of key insights from the analysis. This feature allows users to quickly understand trends and anomalies in the data without having to perform detailed analysis. For example, if a report shows a sudden increase in sales in one region, Copilot can generate a comment like, “Sales in the North region increased by 15% last quarter, mainly due to increased orders from B2B customers.” 3. Visualization Recommendations Copilot helps users choose the best method for visualizing data by analyzing the structure of the report and the nature of the data. If a user is unsure about how to best present the data, Copilot can suggest different types of charts and tables. For example, if the data is about sales trends, Copilot might suggest a line chart or column chart, while for demographic data, it might suggest a heat map or pie chart. 4. Trend and Anomaly Detection Copilot uses AI algorithms to detect unusual patterns and deviations in data. This allows users to automatically identify areas that require attention, such as sudden drops in revenue, increases in operating costs, or irregularities in sales results. Copilot not only highlights these anomalies, but also suggests possible causes and actions that can be taken to explain or mitigate them. 5. Automatic Correlation Analysis Between Data Sets With AI, Copilot can analyze the relationships between different variables in a data set and pinpoint correlations that could impact business outcomes. For example, Copilot can show that an increase in visits to a company’s website directly translates into more orders over a given period. This allows companies to adjust their marketing and sales strategies based on real data. 6. Predictive Analytics Support While Copilot is not a complete replacement for advanced machine learning solutions, it does offer some predictive analytics capabilities. For example, Copilot can use historical sales data to predict future purchasing trends and identify potential risks related to demand fluctuations. Finance departments can use this feature for budget planning and inventory management. 7. Integration with Microsoft Fabric and Other Services Copilot is fully integrated with the Microsoft Fabric ecosystem, meaning it can leverage data from multiple sources, such as Azure Data Lake, OneLake, and Microsoft Dataverse. This gives users a more complete picture of the organization and allows them to create reports that include data from multiple systems. 8. Team Collaboration and Interactive Analytics Sessions Copilot supports teamwork by enabling collaborative editing of reports and sharing of analyses in real time. Users can ask questions in an interactive analysis session and dynamically adjust reports to the needs of the team. This makes working on reports more efficient and decision-making faster. 9. Personalized Results and User Preferences Copilot learns from user interactions, meaning it becomes more precise in its suggestions and analysis over time. Users can customize how reports are generated, specifying preferences for formatting, level of analysis detail, and how data is presented. 10. Advanced Query Handling and Data Filtering Copilot lets you ask more sophisticated questions, including advanced filtering conditions. For example, a user can ask, “Show me sales only to customers in the U.S. technology sector who placed an order in the last 6 months and whose order value exceeded $10,000.” Copilot will instantly generate a report that includes only the relevant data. These features make Copilot in Power BI an invaluable tool for companies that want to get the most out of their data and make informed decisions based on solid analytics. Its versatility makes it useful for both data scientists and business managers who need quick access to key information. Microsoft Copilot in Power BI offers a wide range of functionalities that make working with data easier: • Reporting – Users can type queries in natural language, and Copilot generates visualizations and recommendations. • Automatic narrative generation – Copilot analyzes data and presents key findings in a narrative format. • Identifying trends and anomalies – AI scans data and detects unusual patterns. • Visualization suggestions – Suggests the best ways to present data. • Interactive dataset queries – Users can ask questions without having to write DAX code. What are the Limitations of Copilot in the Basic Version? The preview version of Copilot in Power BI has several limitations: Supports only English. Can generate reports only for specific data types. Requires activation by an administrator. Available only in selected regions. Does not support all complex data models. Example Prompts for Copilot in Power BI Users can ask Copilot questions such as: “Create a sales report for the last three months by region.” “Show me a revenue trend chart for this year.” “What were the biggest changes in financial results last quarter?” “Find anomalies in last month’s sales data.” How Much Does Copilot in Power BI Cost? Copilot in Power BI is included in Power BI Premium and Power BI Pro licenses. Currently, it is available in a preview version, and pricing details may change as new features are introduced. Microsoft may introduce additional licensing options in the future for more advanced users. Examples of AI and Copilot applications in business Power BI and Copilot in Marketing Copilot in Power BI enables marketing companies to analyze the performance of advertising campaigns in real time. This allows them to identify which channels are performing best, which customer segments are converting the most, and where marketing budgets are being used the least efficiently. For example, an e-commerce company can use Copilot to track advertising performance across platforms, automatically generating comparative reports that help optimize budgets. Power BI and Copilot in Finances Finance departments can use Copilot to create budget forecasts and analyze cash flows. The tool can automatically detect anomalies in financial data, such as unexpected increases in expenses or irregular cash inflows. In the banking sector, Copilot can support the analysis of credit indicators and generate reports on the financial stability of customers, which speeds up the credit decision-making process. Power BI and Copilot in Sales Sales teams can use Copilot to monitor sales performance and optimize sales strategies. The system allows for quick reporting on top and bottom-selling products, customer purchasing trends, and sales seasonality. This allows sales managers to make more informed decisions about pricing and inventory planning. Power BI Solutions from TTMS At Transition Technologies MS (TTMS), we specialize in delivering comprehensive analytics solutions based on Power BI. Our services include designing, implementing, and optimizing reports and dashboards tailored to your organization’s needs. By working with our experts, you can fully leverage AI-powered tools like Microsoft Copilot to enhance business efficiency and make data-driven decisions faster. Find out more at https://ttms.com/power-bi/ Can Copilot in Power BI be used for real-time data analysis? Yes, Copilot can process and analyze near real-time data, provided the dataset is connected to a live data source. However, response times may depend on the complexity of queries and the refresh rate of the data source. Is Copilot in Power BI available on mobile devices? Copilot functionalities are primarily designed for the desktop and web versions of Power BI. While you can view and interact with reports on mobile devices, full Copilot capabilities may not yet be fully supported. Can Copilot generate DAX formulas automatically? Yes, Copilot can assist in generating DAX formulas based on natural language queries. It helps users create complex calculations without deep knowledge of DAX, improving efficiency in report development. How does Copilot ensure data security when processing reports? Copilot adheres to Microsoft’s enterprise security standards, ensuring that all processed data remains within the organization’s security framework. It does not store or share sensitive data outside of the Power BI environment. Can Copilot be customized to specific business needs? While Copilot operates on general AI principles, it adapts to user interactions over time, improving recommendations. Future updates may include more customization options to align with specific business processes and reporting standards. What is Microsoft Fabric? Microsoft Fabric is a comprehensive cloud-based analytics platform designed to integrate, process, and analyze data within a unified environment. It combines various Microsoft data services, such as Azure Data Factory, Power BI, Synapse Analytics, and Data Lake, providing businesses with a flexible and scalable data management solution. Key Features of Microsoft Fabric: Lakehouse Architecture – Enables storing and analyzing large datasets in a Data Lake without the need for data movement. Power BI Integration – Simplifies the creation of interactive reports and analytics based on data stored in Fabric. Built-in AI Capabilities – Supports predictive analytics, automated data processing, and anomaly detection. OneLake – A central data repository that eliminates duplication and provides unified data access. Support for ETL and ELT – Facilitates efficient data processing and transformation for advanced analytics. Security and Compliance – Advanced data protection mechanisms compliant with corporate standards and legal regulations. With Microsoft Fabric, businesses can collect, process, analyze, and visualize data within a single ecosystem, enabling data-driven decision-making and accelerating digital transformation.

A flexible Time & Material model designed for complex IT projects in large companies

Time & Material (T&M) is a model of cooperation in which billing is based on the actual time worked by specialists and the resources used. Unlike the rigid Fixed Price model, where the scope and cost are defined upfront, T&M ensures flexibility – the scope of work can evolve during the project, and the client pays for the actual tasks performed. This model is gaining popularity among companies undergoing digital transformation, who need quick access to competencies and the ability to adapt to changes. Below, we explain why T&M is the preferred model for digital transformation leaders, in which situations it works best, and provide examples (including the cooperation between TTMS Software Sdn Bhd and ADA). Finally, we invite you to talk about how T&M can support your project. 1. What is the Time & Material model in IT? The Time & Material model means that the client pays for the hours worked and the tools used to complete the IT project. There is no fixed total cost or fully frozen scope – the project is carried out iteratively, and details can be refined during the work. This model is fully compatible with Agile methodologies and the iterative approach to software development. The project team logs work hours, reports progress, and settlements are made periodically (e.g., monthly or per stage). The client gains full transparency – they know exactly what they are paying for and can continuously adjust the direction of the work. In practice, the T&M contract sets the rates (e.g., hourly or daily) for specific roles in the project (developer, tester, analyst, etc.) and general rules of cooperation. But it leaves space for scope changes. If new requirements or changes arise during the project, there is no need to renegotiate the contract – the team simply continues the work, and the client pays for the additional time based on the agreed rates. This significantly shortens the project launch time and reduces the risk of underestimating or omitting important elements. In T&M, both the IT provider and the client act as partners sharing responsibility for the project’s success. 2. Flexibility above all – why leaders choose T&M Today’s business environment is extremely dynamic. Companies that are leaders in digital transformation know that changes are the norm in ambitious IT projects – new ideas appear, user expectations change, and technology constantly evolves. Traditional settlement models (e.g., fixed-price projects) often turn out to be too inflexible in such conditions. That’s why leading organizations increasingly choose Time & Material to ensure the ability to respond quickly and keep up with innovation. The T&M model offers a number of benefits for large enterprises and digital transformation programs: Quick project start and delivery in stages: No need to wait for a perfectly refined scope – work can start fast, and solutions are delivered in short iterations. This allows early business value realization and continuous verification. Flexibility in implementing changes: When new challenges arise or new ideas appear, the team can immediately adjust the scope of work. There is no need to amend the contract for each change – the plan evolves within the agreed framework. Cost transparency: At every stage, it is clear how much time has been worked and what the budget is spent on. The client receives regular reports, knows exactly what they are paying for, and can control the budget throughout the project. Full control and involvement on the client side: The client is actively involved in the project – can prioritize tasks, decide on the order of implementation, and quickly change direction if necessary. Access to needed competencies exactly when they are needed: In the T&M model, the team can be scaled flexibly – increased in size or supplemented with new experts when the project enters a new phase. Higher quality through continuous improvements: As the project is run iteratively, the final product can be of better quality – continuous testing, feedback, and improvements increase value step by step. It is worth noting that the T&M model eliminates the need to pay for “extra” assumptions. In a fixed-price model, providers often add a risk buffer – so the client pays in advance, even for unforeseen difficulties. In T&M, you pay only for the actual work. If some tasks turn out to be unnecessary or simplified, the budget can be shifted to other priorities. 3. When does the T&M model work best? The Time & Material model is not a cure-all – there are situations where it works perfectly and others where a fixed-price model might be better. Below are typical scenarios where T&M works best: Long-term, complex projects – if the initiative is extended over time and consists of many phases, it is obvious that it’s hard to predict all requirements at the start. T&M allows scope adjustment according to current needs. Unclear requirements at the start – when the client has a general vision but not a detailed list of functionalities. This often occurs in innovative projects. T&M allows starting with MVP and then iterative development. Dynamic business or technology environment – in industries like fintech, e-commerce, or telecom, change is constant. If user needs evolve quickly, regulations change, or there’s competitive pressure, fixed contracts can slow you down. T&M allows flexibility and speed. Budget control during the project – paradoxically, although T&M doesn’t specify the final amount upfront, it allows strict budget control. You can monitor ROI and decide on funding further stages based on previous outcomes. Outsourcing and need for specific know-how – if you’re using IT outsourcing or staff augmentation, T&M is a natural choice. You can get the expert you need without long hiring processes. Of course, the T&M model requires trust and maturity on both sides – the client must be ready to collaborate and supervise, and the provider must ensure transparency. Experienced partners like TTMS introduce control mechanisms (hour tracking, budget checkpoints, milestones) to protect the project. 4. Example: TTMS and ADA – partnership in T&M model A real example of T&M flexibility is the recent cooperation between TTMS Software Sdn Bhd (TTMS branch in Malaysia) and ADA, a leading digital transformation company in Southeast Asia. ADA specializes in data analytics, AI, and digital marketing, serves over 1,500 clients in 12 markets, and is backed by investors like SoftBank and Axiata Group. The partnership began in the Time & Material model, with TTMS providing a Salesforce Administrator for three months. This form enabled ADA to use TTMS experience exactly when needed and created a foundation for further cooperation. Read more in the press release: TTMS Software Sdn Bhd starts cooperation with ADA 5. Other examples of T&M at TTMS At TTMS, we have been delivering projects in the Time & Material or similar flexible models for years. Most of our case studies are stories of long-term cooperation, iterative system improvement, and partnership approach – that’s what T&M enables. For example: In the energy sector, we created a scalable application that integrated many systems. In the pharmaceutical sector, we supported an international company in building a CRM system with a growing scope. For Schneider Electric, we are a long-term outsourcing partner – we provide specialists in the T&M model. 6. T&M in Asia – a growing trend We observe growing interest in flexible contracts in Asia. Companies in this region, known for dynamic growth, often point to the T&M model as key to successful transformation. For example: A telecom operator in Southeast Asia chose T&M for a new digital platform, which allowed them to adapt the roadmap in real time. In e-commerce, a platform was iteratively adapted to user needs through a T&M-based cooperation with an external team. These examples show that flexibility = effectiveness. 7. Choose the right model Time & Material is a proven way to run an IT project when speed, adaptability, and access to talent matter. Leaders choose it because it lets them focus on business goals instead of renegotiating contracts. Properly applied, T&M gives: Freedom of action Transparent costs Quality and results If your company is planning a new system or wants to improve an existing one and needs a flexible and experienced IT partner, T&M may be the right choice. TTMS has been supporting clients in this model for years – providing top experts and teams, building long-term relationships based on trust and shared goals. Let’s talk – we’ll tailor the cooperation model to your project. Contact us. What is the difference between Time & Material and Staff Augmentation? While both offer flexibility, Time & Material refers to billing for work completed over time, often in a project context. Staff Augmentation focuses on providing personnel to extend internal teams. T&M may include team delivery, project milestones, and shared goals—beyond just supplying resources. Is the Time & Material model more expensive than Fixed Price? Not necessarily. Although T&M lacks a fixed upfront budget, it often avoids overpayment by billing only for actual work done. Fixed Price contracts may include large risk buffers, while T&M enables better cost control if well-managed. How do you control scope and costs in a Time & Material project? T&M requires strong project governance—typically involving time tracking, regular reporting, sprint reviews, and clear communication. Clients remain actively involved, adjusting priorities and validating outcomes in real time. Is Time & Material suitable for regulated industries like pharma or finance? Yes. When combined with proper documentation, validation, and quality controls, T&M can meet industry compliance needs. It’s especially useful in complex environments where detailed requirements evolve during the project lifecycle. Can we start with Time & Material and switch to Fixed Price later? Absolutely. Many companies begin with T&M for discovery, MVPs, or early development. Once scope stabilizes, transitioning to a Fixed Price or hybrid model is common—ensuring flexibility early on and predictability later.

Wiktor Janicki

We hereby declare that Transition Technologies MS provides IT services on time, with high quality and in accordance with the signed agreement. We recommend TTMS as a trustworthy and reliable provider of Salesforce IT services.

Julien Guillot Schneider Electric

TTMS has really helped us thorough the years in the field of configuration and management of protection relays with the use of various technologies. I do confirm, that the services provided by TTMS are implemented in a timely manner, in accordance with the agreement and duly.

Let’s talk about how TTMS can help.

Monika Radomska

Sales Manager

monika.radomska@ttms.pl

A flexible Time & Material model designed for complex IT projects in large companies

1. What is the Time & Material model in IT?

2. Flexibility above all – why leaders choose T&M

3. When does the T&M model work best?

4. Example: TTMS and ADA – partnership in T&M model

5. Other examples of T&M at TTMS

6. T&M in Asia – a growing trend

7. Choose the right model

What is the difference between Time & Material and Staff Augmentation?

Is the Time & Material model more expensive than Fixed Price?

How do you control scope and costs in a Time & Material project?

Is Time & Material suitable for regulated industries like pharma or finance?

Can we start with Time & Material and switch to Fixed Price later?

Recommended articles

TTMS blog – the world through the eyes of IT experts

Blackout 2025: Preventing Power Outages with Real-Time Network Management Systems (RT-NMS)

What Is a Temporary Chat in ChatGPT? Everything You Need to Know

Salesforce Net Zero Cloud – How to Prepare Your Company for Mandatory ESG Reporting (CSRD)

Seeing More Than the Human Eye – AI as a Battlefield Analyst

AI and Copilot in Power BI – How Artificial Intelligence Transforms Data Analysis

A flexible Time & Material model designed for complex IT projects in large companies

Ready to take your business to the next level?

Let’s talk about how TTMS can help.

Monika Radomska