AI GOVERNANCE & RESPONSIBLE AI
Your Business Is Adopting AI. Establish the Roles, Risks and Evidence.
Customer due diligence, leadership oversight and legal obligations ask different questions. We help your organization choose the right AI governance scope and connect systems, responsibilities, evidence and next steps.
01
Three routes, three decisions
| Your goal | Service | Principal output |
|---|---|---|
| Prepare an AI management system for independent certification assessment | ISO 42001 Readiness → | AIMS readiness assessment, accountability and roadmap |
| Understand duties for AI systems reaching the EU | EU AI Act Readiness → | Dated, source-linked role/classification/obligations map |
| Establish a voluntary AI risk operating approach | NIST AI RMF Alignment → | Context, risk/evaluation, ownership and treatment structure |
An ISO management system, legal obligation map and risk framework support one another. They do not provide identical assurance or replace each other's requirements.
02
Start with the inventory
Record the system, intended use, owner, affected people, supplier/model dependencies, data context and deployment geography. This evidence supports classification and risk decisions. A policy without a reliable inventory leaves reviewers uncertain about its coverage.
03
What governance must connect
| Governance question | Working evidence |
|---|---|
| Who approves use and accepts risk? | Named authority, policy and decision record |
| What risks and impacts need review? | Context-specific assessment and affected-person considerations |
| What evaluations support deployment? | Evaluation records, limits and specialist testing where needed |
| What happens when systems change? | Review triggers, change controls and inventory ownership |
| How are concerns escalated? | Monitoring, incident roles and communication procedures |
04
Make current-source review part of the program
The EU AI Act's adopted 2026 amendment changed particular high-risk application dates and other provisions. The EUAI service page records the dated legal sources and transitions. A governance program records who keeps obligations current when law, systems or deployment facts change.
05
Scope boundaries
Governance readiness does not imply model safety certification, legal approval, conformity assessment or performed penetration testing. The written scope identifies specialist evaluation and legal responsibilities. Your organization decides how AI is deployed and operated.
06
AI governance questions
Which route should we choose?
Bring the customer request or management goal. The consultation distinguishes certification readiness, legal mapping and risk operations.
Are internal AI tools included?
They are included when named within the agreed scope. Third-party AI use also needs ownership and context review.
Does a supplier's certificate settle our governance?
It contributes supplier evidence. Your own uses, data, controls and responsibilities still need evaluation.
07
Give the next AI decision an accountable path
Free 30-minute consultation. No obligation.