AI GOVERNANCE & RISK
AI Governance & Documentation
AI inventory, preliminary applicability and risk classification, and internal governance documentation.
System inventory
Actually used and planned AI tools gathered in one single place.
Applicability and risk
Clear view of which use cases require deeper review and internal control.
Internal governance
Who approves new tools, what data may be processed, and where human review is required.
EU frame
Read through the EU AI Act
For European organisations the inventory and the risk classification follow the vocabulary of the EU framework, and the documentation follows that structure.
- EU AI Act
- ISO/IEC 42001
- NIST AI RMF
- GDPR
AI spreads faster than internal governance
Chatbots, code assistants, document summarizers and embedded SaaS features enter daily operations.
- No AI system / use-case inventory
- Unclear risk classification and responsibility boundaries
- Customer or internal audit questions about AI use
- Need for a proportionate policy and documentation frame
No control without inventory
If leadership cannot see which tools operate and for what purpose, accountability cannot be clear.
- Deployers and users needing inventory and risk classification
- Teams where AI use is growing but policy is missing
- Organisations that want human-reviewed governance support
Not all use cases are identical
System function, intended purpose, deployment context, involved actors and relevant AI Act provisions are evaluated together.
AI inventory and use-case discovery
Data flows and role interaction mapping
Preliminary applicability and regulatory role review
Preliminary risk classification worksheet
Internal controls and human oversight design
Acceptable-use and governance policy drafts
Prioritized documentation roadmap
Regulatory clarity is the foundation of resilient, long-term value.
We start with operational reality, inventorying tools and designing workable internal governance.
Every step culminates in documented outcomes: no ambiguous handover, ensuring complete leadership alignment throughout.
Inventory
Current and planned systems, third-party tools, vendors and use cases.
Data and role mapping
What data enters the system and which organizational roles interact with it.
Preliminary classification
Preliminary mapping of relevant AI Act categories, organizational roles and associated obligations.
Internal controls
Approval workflow for new tools, output verification and human oversight.
Governance and policy
Documenting internal use rules, responsibilities and vendor governance frameworks.
In Scope
Tailored to your organization’s risk profile:
- AI inventory and use-case discovery
- Data flows and role interaction mapping
- Preliminary applicability and regulatory role review
- Preliminary risk classification worksheet
- Internal controls and human oversight design
- Acceptable-use and governance policy drafts
- Prioritized documentation roadmap
A clear view today. A stronger tomorrow.
Calibrated to the volume of AI tools and use cases under review.
Documented
Verifiable outputs
Prioritized
Risk-based roadmap
- AI inventory and use-case discovery
- Data flows and role interaction mapping
- Preliminary applicability and regulatory role review
- Preliminary risk classification worksheet
- Internal controls and human oversight design
- Acceptable-use and governance policy drafts
- Prioritized documentation roadmap
- Custom AI model engineering or development
- Formal conformity assessment or certification
- Official statutory legal opinions
- Full Data Protection Impact Assessment (DPIA)
- Continuous real-time software monitoring
What the client receives
AI inventory register
Applicability overview and organizational roles
Preliminary risk and classification worksheet
Acceptable-use policy draft
Governance framework draft
Prioritized documentation roadmap
Frequently asked questions
Essential answers on timelines, audit obligations, and delivery expectations.
No. System function, deployment purpose, organizational context and regulatory role must be evaluated together.
Regcytech provides advisory and documentation readiness support. Clear boundaries are part of a trustworthy engagement:
For questions of legal interpretation, we always recommend involving a qualified lawyer.
Name the three AI tools your teams use most.
That is enough to start identifying where deeper inventory and classification work should begin.
Responsible technology advisory for high-stakes regulatory environments.
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