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AI Workflow Automation Consulting Services for Secure Enterprise Processes
AI automation consulting is the first step towards selecting the processes, technologies, and integrations needed to introduce automation safely across a large organization.
Automation delivered under internationally recognized security and quality standards
AI MANAGEMENT SYSTEM
INFORMATION SECURITY
QUALITY MANAGEMENT
IT SERVICE MANAGEMENT
years on the market
experts
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A Word from Our Client:
TTMS has implemented a solution to support the department responsible for analyzing public tenders. Based on Salesforce and enhanced by AI algorithms, the system helps to optimize and automate the analysis of documentation.
AI Case studies by TTMS
What Does an AI Automation Consultant Do – and Who Needs One?
Our AI automation consultants assess where AI could create real business value for your organization. We review the processes, data, and systems your company currently uses, then determine whether the best approach is to deploy AI agents, use intelligent automation or RPA, or combine these technologies. We start with a specific business problem, not with the choice of another tool.
See also:
AI solutions for business | AI-Powered Custom Projects
When AI Process Automation Consulting Services Pay Off – Common Enterprise Bottlenecks
In large organizations, inefficiencies often result from manual work, fragmented data, and poor integration between systems. Consulting helps identify the source of the problem and determine whether it is best addressed by redesigning the process, integrating existing systems, or introducing automation.
Manual Handling of High-Volume Requests and Alerts
A high volume of requests, alerts, and documents requires time-consuming manual work. As volumes increase, processing takes longer and the risk of errors grows.
Disconnected Systems and Data Silos
The data needed to complete a task is often spread across different systems. Employees must find, compare, and transfer information manually, which slows down work and increases the risk of errors.
Processes That Don’t Scale
When serving more customers or handling more orders and requests requires additional staff, the process becomes difficult to scale and its operating cost increases.
Not Knowing Where to Start
A large number of processes and potential AI use cases can make it difficult to choose the right starting point. Without an initial assessment, it is hard to determine which ideas are feasible and could justify the investment
Artificial Intelligence and Automation Consulting Services – From Integration to Implementation
We support organizations at every stage of AI automation, from defining their needs and selecting the right approach to integration, implementation, and further development.
Related: AI-Powered Custom Projects
AI Automation Strategy and Consulting
We analyze business processes and compare automation opportunities based on their business value, feasibility, and risk. We then help build the business case, select the right technology, and plan a pilot and the subsequent implementation stages.
Security Process Automation
We build automation that helps classify alerts, gather the relevant information, and perform routine checks. A specialist reviews the results and decides what action to take.
IT Operations Automation
We automate monitoring, event analysis, and the classification and routing of service requests. For recurring issues, the system can run a predefined remediation workflow.
Business Process and Document Automation
We help reduce the manual work involved in processing documents and data. Automation can interpret invoices, contracts, correspondence, and reports, then record the relevant information in the appropriate system.
Generative AI and AI Agents Integrated with Your Systems
We build AI assistants and agents that use company knowledge and work with its existing systems. They can find information, prepare responses, and complete selected tasks, while employees retain control over important decisions.
Agentic AI, AI Workflows or RPA and Rule-Based Automation –
Choosing the Right Automation Approach
The choice of technology depends on how a process works and which tasks we want to improve. Each approach addresses different needs, so it is important to compare its capabilities and limitations before implementation.
PROCESS TYPE
Fixed rules and repeatable steps
DATA
Structured data
DECISION-MAKING
No independent decisions, only predefined rules
ADAPTABILITY TO CHANGE
Low. Interface changes may disrupt the automation
CONTROL AND AUDITABILITY
High, with fully deterministic execution
IMPLEMENTATION COST
Low to moderate
MAINTENANCE COST
Increases when connected systems change
EXAMPLE
Transferring data between an ERP system and a spreadsheet
CHOOSE RPA WHEN
The process follows fixed rules, consists of repeatable steps, and uses structured data.
RPA works well as a bridge to systems without APIs. However, frequent interface changes may require updates to the automation and increase maintenance costs.
PROCESS TYPE
A defined workflow with steps that require interpretation, such as classification, extraction, or summarization
DATA
Partially or fully unstructured data, such as emails, documents, and logs
DECISION-MAKING
Individual decisions at predefined points
ADAPTABILITY TO CHANGE
Moderate
CONTROL AND AUDITABILITY
High, with defined control points
IMPLEMENTATION COST
Moderate
MAINTENANCE COST
Moderate
EXAMPLE
Classifying requests and adding the relevant information to an ITSM system
CHOOSE AI-ENABLED WORKFLOW WHEN
The process follows a defined workflow but requires AI to interpret unstructured information at specific steps.
An AI-enabled workflow combines the capabilities of artificial intelligence with predictable costs and the ability to trace each step in the process.
PROCESS TYPE
A multi-step process with exceptions that requires selecting tools and determining the sequence of actions
DATA
Unstructured data from multiple sources
DECISION-MAKING
The agent recommends or performs the next steps
ADAPTABILITY TO CHANGE
High for interface changes, but quality testing is required after each model update
CONTROL AND AUDITABILITY
Requires approval mechanisms, permission limits, and a complete audit trail
IMPLEMENTATION COST
Moderate to high
MAINTENANCE COST
Highest due to monitoring, quality testing, and model usage costs
EXAMPLE
An agent that analyzes an alert, gathers context from several systems, and prepares a recommendation
CHOOSE AGENTIC AI WHEN
The process requires multiple steps, selecting tools, handling exceptions, and adapting actions based on available information.
We usually launch the first version within two to four weeks. At this stage, the agent prepares recommendations for employee approval. We expand the scope of independent action after testing quality and security during the pilot.
The choice is not always limited to RPA, AI workflows, or agentic AI. Sometimes, integrating existing systems
or redesigning the process itself may be a better solution.
AI Consulting and Automation Services – Use Cases by Industry
Every industry has its own processes, data, and requirements. We tailor our AI consulting and automation services to the organization’s operating environment and the results it wants to achieve and measure.
Pharma and Life Sciences
Pharmaceutical companies handle large volumes of documents, requests, and reports that must follow established procedures. Automation can organize information, classify cases, and route them to the right people while recording each action. This makes the process easier to control and reduces manual work.
Energy
Energy companies receive information about incidents and irregularities from multiple IT and operational technology systems, which can make rapid analysis difficult. AI can organize incoming data, assess its relevance, and route urgent cases to the right teams. This helps employees respond faster to events that require their attention.
Manufacturing and FMCG
Processing orders, logistics documents, complaints, and reports often requires employees to transfer data manually between systems. Automation can retrieve the required information, record it in the appropriate system, and move the case to the next step. This helps reduce errors and processing time.
Defense and Public Sector
Defense and public-sector organizations process large volumes of documents, correspondence, and requests subject to strict security requirements. AI can help classify and route them while maintaining control over data access and recording each action. We tailor the scope and deployment model to the organization’s specific requirements.
AI Consulting Services for Automation You Can Trust: Security, Human Oversight and Governance
Automating critical processes requires clear rules for data access, decision-making, and accountability. Our AI consulting services for automation help companies design solutions in which key actions may require approval, exceptions are passed to an employee, and a record of each operation remains available for review.
DECISION CONTROL AND AUDIT TRAIL
We define which tasks the system can perform independently and which require approval. We also record input data, system recommendations, user decisions, and actions performed across connected systems.
GDPR, EU AI ACT AND OUR CERTIFICATIONS
We help organizations assess the requirements of GDPR and the EU AI Act and select appropriate safeguards. Our approach is supported by certified management systems, including ISO/IEC 42001 and ISO/IEC 27001.
DATA PROTECTION AND PRIVATE DEPLOYMENTS
We define how and where data is processed and who can access it based on the organization’s requirements. Depending on the project, the solution may run in the cloud, a private cloud, or the client’s own environment.
What the audit trail records
SOURCE, TIMESTAMP, AND DATA SUBMITTED FOR ANALYSISMODEL USED, ANALYSIS RESULT, AND CONFIDENCE SCOREAPPROVER, TIMESTAMP, DECISION, AND COMMENTSOPERATION PERFORMED, TARGET SYSTEM, AND PERMISSIONS USEDREASON FOR ESCALATION AND SUBSEQUENT HANDLINGLearn more about our security standards, regulatory compliance, and certifications on the
TTMS Cybersecurity and Regulatory Compliance page
How We Work – From Process Audit to Implementation and Scale
Our work can cover the full journey from reviewing current processes to implementation and further improvement. We tailor each stage to the organization’s needs, internal capabilities, systems, and requirements.
2–4 weeks
We review processes, data, and existing systems. We compare automation opportunities based on business value, feasibility, and risk.
You receive: A prioritized list of processes, supporting rationale, and recommended next steps.
2–4 weeks
We select the technical approach, plan integrations, and define security, control, and performance measurement requirements.
You receive: A solution design, implementation plan, and agreed KPIs.
8–12 weeks
We test the selected process on a limited scale using real or appropriately prepared data.
You receive: A working prototype and results that support the decision on broader implementation.
2–12 months
We integrate the solution with existing systems, prepare documentation, and train the employees who will use it.
You receive: An implemented solution and a team prepared to operate it.
Ongoing
We review performance, analyze issues, and make the necessary adjustments.
You receive: Recommendations for improvement and possible expansion to other processes.
Measurable Outcomes and ROI
of AI for Business Automation
Before the project begins, we define the problem the automation should solve and how its results will be measured. We use data from the existing process as a baseline, making it possible to compare actual results with the original assumptions after implementation and assess the return on investment.
Actual results depend on the scale of the process, data quality, integration requirements, and how employees use the solution. We therefore select the right measures for each project rather than relying on general industry benchmarks.
DEPENDING ON THE PROCESS, RELEVANT MEASURES
MAY INCLUDE:
Engagement Models – AI Consulting Services for Scaling Automation
We offer three engagement models tailored to the organization’s needs: an automation audit, a pilot of the selected solution, and long-term consulting focused on developing further automation initiatives.
AUTOMATION AUDIT
For organizations that need to decide where to start. We review business processes and compare automation opportunities, then present priorities, a recommended approach, and practical next steps.
PILOT
For organizations with a selected process to test. We build a limited-scope solution, validate the main assumptions, and measure agreed indicators before a decision is made on full implementation.
LONG-TERM PARTNERSHIP
For organizations developing automation across multiple processes. We support further implementation, integration, monitoring, and optimization, and help update the roadmap as business needs change.
Talk to Our AI Experts
Tell us about your AI initiative. We’ll suggest the right starting point and cooperation model.
Paweł Zabielski
Head of AI
FAQ
Which enterprise processes are best suited for AI automation?
The best candidates have high volumes, repeatable steps, digital data, and measurable costs. AI automation may be suitable for document processing, service requests, alerts, and reporting. Before recommending an approach, we also review process exceptions, required decisions, and the quality of the available data.
Does AI automation integration and implementation require replacing our existing ERP, CRM or ITSM systems?
Usually not. New automation can often connect to existing ERP, CRM, or ITSM systems through APIs and available connectors. If direct integration is not possible, RPA or another approach may provide an alternative. We assess the technical options and limitations before implementation begins.
How do you keep control of decisions made by AI agents?
We define the agent’s scope before implementation, including its permissions, actions that require approval, and situations that must be passed to an employee. An audit trail can record input data, system recommendations, user decisions, and completed operations, making it easier to review how each case was handled.
How quickly can we see ROI from AI automation, and how do you measure it?
The time required to achieve ROI depends on the process, its scale, implementation costs, and how employees use the solution. Before the project, we define a baseline and relevant KPIs. A pilot then provides the first data needed to test the assumptions before full implementation.
How do you ensure AI automation complies with GDPR and the EU AI Act?
We assess GDPR and EU AI Act requirements in the context of the specific solution, data, and intended use. We help define risks, access rules, safeguards, and documentation requirements. Our approach is supported by an Artificial Intelligence Management System certified to ISO/IEC 42001.
How much does AI automation consulting cost, and what does pricing depend on?
The cost depends on the process scope, number of integrations, data volume and quality, and requirements related to security, compliance, and deployment. We define the engagement and pricing after reviewing the organization’s needs and environment.
Where is our data processed, and do AI models learn from our company data?
Data processing and model usage depend on the selected architecture, technology provider, and deployment terms. The solution may run in the cloud, a private cloud, or the client’s environment. Before implementation, we define how data can be accessed, stored, processed, and used by the selected model.