AI Governance Blueprint™
Move from AI adoption to AI governance.
A focused engagement designed to establish the foundations of an enterprise AI governance program — ownership, risk, controls and oversight, defined and sequenced.
The Challenge
AI is adopted across teams faster than ownership, risk review and oversight can be established. Leadership cannot say which systems exist, who is accountable, or what happens when an AI-supported decision is questioned.
Who it is for
- Organizations deploying AI faster than they can govern it
- Enterprises facing customer, board or regulatory questions on AI
- Teams building an AI governance program from a blank page
What Regavon does
- AI systems and use cases in production and in flight
- Current governance ownership and decision rights
- AI risk exposure and impact concentration
- Existing policies, controls and oversight practices
- Third-party and embedded AI dependencies
What you receive
- AI system and use-case inventory
- AI governance maturity assessment
- Risk classification methodology
- Governance operating model
- Roles and accountability model
- AI policy framework
- Control recommendations
- Prioritized implementation roadmap
- Executive readout
Value delivered
- A single view of AI systems, use cases and owners
- Decision rights and escalation defined before incidents occur
- A sequenced roadmap leadership can fund and track
- A governance foundation reusable across frameworks and customer requests
Regavon does not guarantee compliance, certification outcomes or financial results.
Relevant frameworks
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act readiness
- Organizational requirements
Framework mapping depends on engagement scope, jurisdiction, systems and organizational requirements.
Engagement
Starting priceFrom $15K
Typical timeline4–6 weeks
Engagement scope and pricing depend on organizational complexity, systems, regulatory exposure and implementation requirements.