AI concepts
AI governance (oversight and decision-making for AI in a company)
A set of rules, roles, and procedures that define who in the company decides on AI deployments, who monitors risks, and who responds to incidents. Without AI governance, projects escalate on their own into problems no one knows how to solve. Firms with documented AI governance see three times higher ROI from their deployments.
Primary source: Deloitte State of AI in the Enterprise 2025, NIST AI Risk Management Framework 1.0
AI governance is not a technical activity. It is an organisational activity with financial consequences. Deloitte State of AI in the Enterprise 2025, a sample of 2,800 enterprise firms: organisations with documented and operational AI governance achieve an average AI ROI of 3.1x, while organisations without governance achieve 0.9x. Almost a threefold difference.
Three levels of governance
Strategic. Decisions such as which areas we move into with AI, which risks we accept, and what budget we allocate. Owner: the board, most often a Chief Strategy Officer or COO. Cadence: quarterly.
Tactical. Decisions such as which vendor we choose, which model, which architecture. Owner: the AI Steering Committee, a cross-functional body (IT, business, legal, security). Cadence: monthly.
Operational. Decisions such as whether we approve new use of ChatGPT by the HR department, whether we update the chatbot's knowledge base, whether we respond to an incident. Owner: the AI Operations team or the responsible department. Cadence: weekly or continuous.
Most Polish enterprises in 2025 only have the operational level, sometimes the tactical one. Strategic governance is rare.
NIST AI RMF
NIST AI Risk Management Framework 1.0 from 2023 is the most frequently cited operational standard for AI governance globally. Four functions: Govern (culture, policy), Map (context, risks), Measure (metrics), Manage (priorities, responses). Each function contains a set of concrete controls. The NIST AI RMF became a de facto requirement in US federal tenders in 2025.
A functional minimum for a mid-sized Polish firm
Five elements without which AI governance does not exist, regardless of company size:
- An AI policy document, signed by the board, known to employees
- An AI use case register, a list of all deployments with a risk description
- An approval process for new tools, with a decision time of up to 14 days
- An incident response plan, who responds when AI errs in a costly way
- A quarterly review, a report for the board, two pages, not sixty
All of it fits into ten documents, not the sixty that most consulting firms propose.
Polish context
The AI Act from August 2026 requires a governance element as part of the documentation for a high-risk system. Firms without governance not only have lower ROI, they have illegal deployments.
Introducing AI governance scaled to your company is part of the AI Readiness Audit and Cybersecurity & AI Policy.