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Enterprise AI Consulting Services, Backed by ISO/IEC 42001 Certification
We help large organizations identify where AI can create business value, prioritize the right opportunities, and move from initial ideas to secure, scalable implementation.
AI MANAGEMENT SYSTEM
experts
–IN– 6
__LOCATIONS_IN_COUNTRIES
years on the market
What Are Enterprise AI Consulting Services and Who Are They For?
Enterprise AI consulting services help large organizations determine where and how artificial intelligence can deliver business value. They also help companies prepare their data, integrate new solutions with existing technology, manage security risks, and meet governance and regulatory requirements.
They are particularly relevant for organizations that need to define an AI strategy, identify viable use cases, assess whether they are ready to implement them, or move beyond isolated experiments and introduce AI safely at scale.
Designed for business, technology, risk, and compliance leaders, including:
The Challenges of Implementing AI in Large Organizations
Implementing AI in a large organization involves more than choosing the right model or technology. A successful AI implementation requires clear business goals, secure access to the right data, integration with existing systems, and close cooperation between business, technology, legal, and compliance teams.
![](https://ttms.com/wp-content/uploads/gdpr-eu-ai-act-and-certifications.svg")
Regulatory and Legal Risks
Regulations such as the EU AI Act and GDPR introduce requirements for transparency, data protection, accountability, and risk management. Without the right expertise and internal processes, organizations may struggle to identify which obligations apply and what they need to do to demonstrate compliance.
Lack of Strategy and Organizational Alignment
Initiatives often lose momentum when they lack clear business objectives, defined ownership, or an enterprise-wide AI roadmap. When business, technology, legal, and compliance teams work towards different goals, valuable use cases may remain isolated pilots instead of moving towards implementation.
Data Security and Integration with Existing Architecture
AI solutions need secure access to reliable enterprise data, but this data is often spread across legacy systems, cloud platforms, and departmental repositories. Connecting these environments while protecting data privacy, cybersecurity, system performance, and business continuity can be a major barrier to adopting AI at scale.
Our Approach to Enterprise AI Consulting
Our approach to enterprise AI consulting starts with the business, not the technology. We examine the organization’s goals, processes, data, and existing systems to identify where AI can create value and develop a practical plan for introducing it safely and at scale.
Align
We define the business goals and operational problems AI should address. We then agree on priorities with the people responsible for the initiative.
Assess
We assess the organization’s AI readiness, including its data, technology, skills, internal controls, and capacity to deliver the initiative.
Prioritize
We compare potential use cases based on business value, feasibility, data requirements, risk, and implementation effort. This helps the organization decide which opportunities to pursue first.
Roadmap
We turn the findings into a practical AI strategy and roadmap. It explains what to do first, who is responsible, how the initiative will be governed, and how the organization will measure progress and results.
Scope of our AI consulting services
From strategy to continuous improvement. Support a single area or the full journey, based on your goals, capabilities, and regulatory needs.
AI Strategy & Governance
We define a business-aligned AI strategy and actionable roadmap, with clear governance on who decides, approves initiatives, and owns the results.
Use Case Assessment & Prioritization
We assess use cases by business value, feasibility, data, risk, and effort, so you invest only in those that are realistic to deliver.
PoC & Implementation
We build proofs of concept to validate assumptions and spot limitations early, then integrate the solution with your systems, workflows, and data.
Change Management & Adoption
We prepare teams for new ways of working through clear roles, communication, and training, so employees use AI effectively every day.
AI Security & Compliance
We assess privacy, security, and regulatory requirements, helping you meet EU AI Act and GDPR obligations and follow internal risk policies.
Monitoring & Optimization
We define how to track performance, quality, and impact after deployment, including model drift and accuracy, to keep results reliable over time.
How We Work: Our Step-by-Step Process
We can support an initiative from the initial assessment through implementation and continuous improvement. The exact starting point and scope depend on the organization’s priorities, AI readiness, regulatory requirements, and existing capabilities.
Assessment & Workshops
We review the organization’s business goals, current processes, data, and technology architecture. During workshops, we speak with the people involved to understand their challenges and identify where AI may create business value.
Strategy & Roadmap
We turn our findings into clear priorities and a practical AI strategy and roadmap. The roadmap explains what to do first, who is responsible, how the initiative will be governed, and how the organization will measure progress.
Proof of Concept
We develop a focused PoC or prototype to test the selected use case, key assumptions, technical feasibility, and data requirements before the organization commits to a broader implementation.
Implementation & Integration
Once the concept has been validated, we help implement the solution and integrate it with the organization’s existing systems, data sources, workflows, and security controls.
Change Management & Training
We prepare teams to use the solution through clear communication, role-specific training, and practical guidance. This helps employees incorporate it into their day-to-day work.
Monitoring & Optimization
We help define how the organization will monitor performance, output quality, reliability, and emerging risks after deployment. The results show what needs to be adjusted before the solution is expanded or used more widely.
Business Outcomes and Benefits
We help organizations select AI initiatives that address real business needs and can be measured after implementation. This makes it easier to improve processes, make better-informed decisions, and decide which solutions are worth expanding.
Reduced Implementation Risk
We assess feasibility, data requirements, security, compliance, and AI readiness early in the project. This helps organizations identify potential barriers before deciding whether to proceed with a broader implementation.
Faster Path to Implementation
A clear AI strategy, prioritized use cases, and a practical AI roadmap reduce uncertainty. They help teams move more efficiently from an initial idea to a validated solution.
Measurable Business Value
Before implementation, we help define relevant KPIs, expected results, costs, and business case assumptions. After deployment, the organization can compare actual performance and ROI with its original expectations.
Scalable AI Adoption
Once a solution has been validated, clear governance, integration planning, and repeatable delivery methods make it easier to introduce it in other teams or business areas while maintaining quality, security, and compliance.
AI Case studies by TTMS
Security, Compliance
and Trust in AI Projects
Our AI consulting services are supported by certified management systems covering responsible AI use, information security, service delivery, quality, and operational risk. For enterprise clients, these standards provide independent evidence that we follow defined and verified processes when delivering complex projects.
Our Certifications and Management Standards
RESPONSIBLE AI MANAGEMENT
As the first company in Poland to achieve accredited ISO/IEC 42001 certification, we operate an Artificial Intelligence Management System that sets out how we manage AI-related risks, responsibilities, decisions, and oversight. For clients, this means that our approach is based on documented and independently verified processes, not only on general commitments to responsible AI governance.
INFORMATION SECURITY MANAGEMENT
Our Information Security Management System helps us identify and manage risks affecting confidential information, intellectual property, and critical systems. It gives security and IT teams recognized evidence that we manage information security through defined and verified processes.
QUALITY MANAGEMENT
IT SERVICE MANAGEMENT
ENVIRONMENTAL MANAGEMENT
OCCUPATIONAL HEALTH
AND SAFETY
Why Choose Us as Your AI Consulting Partner
As an experienced AI consulting company, we bring business consultants, industry specialists, and technology experts into one team. Together, they assess whether an idea makes business and technical sense and how it could work with the client’s existing systems.
Experienced, Multidisciplinary Teams
Our teams include consultants, architects, developers, data specialists, security professionals, and quality experts. They assess each opportunity in terms of business value, technical feasibility, security, compliance, and implementation requirements.
Experience in Complex and Regulated Environments
We work with organizations in highly regulated, security-critical industries such as pharmaceuticals, life sciences, defense, manufacturing, and automotive. Our expertise covers process automation, knowledge management, data analysis, and enterprise integrations with enterprise platforms such as Microsoft Azure and Salesforce.
Advisory and Delivery Capabilities
We can help clients define the right approach, test it, and implement the selected solution. Depending on the engagement, we can work alongside the client’s internal teams or provide broader support with architecture, development, integration, deployment, and further optimization.
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
How long does it take to implement AI solutions in a large enterprise?
The timeline depends on the use case, data readiness, integration complexity, security requirements, and regulatory obligations. A focused proof of concept may take several weeks, while an enterprise-wide AI implementation usually follows a phased approach based on the organization’s environment and priorities.
How do you support compliance with GDPR and the EU AI Act?
We start by reviewing the solution’s intended use, data flows, risk profile, and applicable regulatory requirements. We then help define the necessary AI governance, privacy and security controls, documentation, responsibilities, and oversight to support compliance with GDPR and the EU AI Act.
Does AI consulting require sharing sensitive company data with an external partner?
Not necessarily. The level of access depends on the engagement and may be limited through anonymization, pseudonymization, synthetic data, controlled environments, and role-based access. We agree on data-sharing rules and security measures before the project begins.
How much does enterprise AI consulting cost, and what affects the pricing?
The cost of enterprise AI consulting services depends on the scope, complexity of the use cases, data readiness, integration requirements, regulatory considerations, and expected deliverables. After an initial consultation, we recommend a suitable cooperation model and prepare an estimate based on the agreed scope.
How do you work with an in-house IT team and existing systems?
We work alongside internal IT, data, security, legal, and business teams. Together, we define responsibilities based on the organization’s internal capabilities and the support it needs. This may include strategic advice, specialist expertise, architecture support, implementation, or integration with existing systems.
Which certifications and security standards do you hold, and what do they mean for clients?
Our management systems are certified to standards including ISO/IEC 42001 for Artificial Intelligence Management Systems and ISO/IEC 27001 for information security management. These certifications provide independent evidence that we follow defined governance, management, and security processes. We assess the compliance of each client solution separately based on its intended use and specific context.