AI Governance Engine
Governance, control, and evidence layer around AI systems, AI assets, use cases, policies, risks, decisions, and audit readiness.
Short Positioning
AI Governance Engine gives management, compliance, and operations teams one accountable workspace to structure AI governance work, keep evidence organized, and move from fragmented controls to clear oversight.
For NIS2-focused programs, pair this with NIS2 Core when you need a dedicated compliance workspace alongside AI governance.
Who It Is For
- Management teams that need decision-grade visibility on AI risk and control status.
- Compliance and governance owners who must keep policy, risk, and evidence traceable.
- Operational teams responsible for turning AI governance intent into repeatable workflows.
- Organizations preparing for internal or external review of AI governance practices.
What It Helps You Do
- Establish a scoped inventory of AI systems, use cases, and associated governance responsibilities.
- Create a first structured view of risks, controls, and decision points.
- Track governance decisions and exceptions with evidence-backed context.
- Prepare practical management and audit-readiness views without exposing internal technical complexity.
What It Does NOT Promise
- It does not replace management responsibility for governance decisions.
- It does not provide legal advice or substitute legal judgment.
- It does not guarantee certification, guaranteed compliance, or guaranteed audit outcomes.
- It does not remove the need for operational discipline in implementation and follow-through.
What You Can Expect in the First 30 Days
- A scoped AI inventory and governance baseline for the agreed business scope.
- A first risk-and-control view that highlights priority governance gaps.
- An evidence starter pack aligned to your current reporting and review needs.
- An executive-ready next-step view with practical priorities for the next cycle.
AI Governance Sprint
AI Governance Sprint is the recommended entry offer when you need an initial governance baseline quickly, with concrete outputs your management and compliance teams can use immediately.
Typical sprint scope: defined AI scope boundary, governance baseline, initial risk-and-control mapping, and evidence-pack starter aligned to management review.
Typical Outputs / Deliverables
- AI governance baseline summary.
- Initial risk-and-control map with priority focus areas.
- Decision and evidence structure for audit-readiness preparation.
- Management summary with clear next-step options.
When This Is a Good Fit
- You need structure and accountability around growing AI activity.
- You want governance outputs that management can review without technical noise.
- You need evidence discipline before external scrutiny increases.
When This Is Not the Right Fit
- You are only looking for a policy document set without operational follow-through.
- You need a legal opinion rather than a governance execution system.
- You are not prepared to assign clear internal owners for decisions and evidence.
Request a Demo + Pricing
We start with your current governance reality, then define a controlled first cycle with practical outputs.
FAQ
Can we start with a limited business scope?
Yes. Most teams start with a bounded scope and expand after the first cycle proves useful.
Is this only for highly mature AI programs?
No. It is designed to establish structure early and improve governance maturity over time.
Does this replace legal or compliance experts?
No. It supports their work with structured evidence and workflow discipline.
How does this relate to NIS2 initiatives?
AI Governance Engine focuses on AI governance accountability. NIS2 Core complements it as a dedicated NIS2 evidence and compliance workspace.