Build AI Governance That Scales.
EU AI Act enforcement deadlines are approaching. Shadow AI is spreading unchecked. Stakeholders want a framework that balances innovation velocity with regulatory compliance. We build the governance operating model that makes that possible.
Operational Bottlenecks
Operational Bottlenecks
Regulatory Uncertainty
EU AI Act enforcement deadlines are approaching, NIST AI RMF adoption accelerating, state-level AI legislation multiplying. No clear roadmap for which requirements apply or how to operationalize them.
Shadow AI Proliferation
Teams adopting AI tools without governance oversight. No inventory of AI systems, no risk classification, no acceptable use policies. Exposure growing daily with no single owner accountable.
Stakeholder Misalignment
Engineering wants speed, legal wants zero risk, compliance wants documentation. Without a framework that balances all three, governance becomes a blocker instead of an enabler.
Komprise's 2025 AI survey found nearly 80% of organizations experienced negative genAI-related data incidents (13% with financial, customer, or reputational damage). It also found 90% are concerned about shadow AI (46% extremely worried), and 54% cite finding and moving the right data as the biggest challenge in preparing unstructured data for AI.
Strategic Interventions
Strategic Interventions
Framework Design & Implementation
Custom AI governance framework built for your regulatory landscape, risk profile, and organizational structure. Aligned to ISO 42001, NIST AI RMF, and EU AI Act requirements — not a template, a system your teams will actually use.
- Governance charter and operating model
- Risk classification methodology
- Regulatory applicability mapping
Policy Development & Adoption
Policies covering AI acceptable use, procurement, development, and deployment — written with engineering input so they get adopted, not ignored.
- AI policy suite (acceptable use, procurement, development)
- Role-based responsibility mapping
- Training and awareness programs
Risk Management & Monitoring
Systematic approach to identifying, classifying, and monitoring AI risks across your portfolio. From initial inventory through ongoing measurement and reporting to leadership.
- AI system inventory & risk scoring
- Mitigation strategies & control mapping
- Board-ready reporting framework
Capabilities that extend beyond traditional information security into AI-specific governance, risk, and compliance.
Execution Checklist
Execution Checklist
Engagement Terms
Engagement Terms
Governance Framework
- Custom governance framework design
- AI policy suite & risk methodology
- ISO 42001 & EU AI Act alignment
- Stakeholder training program
- Quarterly framework reviews
AI Governance Framework Starter Kit
The essential toolkit for building AI governance from scratch. Includes policy templates, risk classification matrices, and implementation roadmap.
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