See the work before you book

AI governance that has to work in production

Practical tools, examples, and analysis for organisations assessing whether their AI controls are real, enforceable, and ready for scrutiny.

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Sample deliverable

See what an Enforcement Gap Review actually produces

An illustrative one-page diagnosis showing how Aivance separates documented controls from technically enforced controls, maps the gaps to applicable frameworks, and identifies the next decision to make.

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What it demonstrates

✓ Three assurance questions
✓ Framework mapping
✓ A specific control finding
✓ A practical next step

Choose your starting point

Each resource is designed for a different question. Start with the one closest to the decision you are trying to make.

Ecosystem guide For leaders clarifying who owns which part of AI control Where AI Governance Fits in the AI Control Stack A practical guide to the relationship between regulation, governance, identity, cybersecurity, runtime enforcement, implementation partners, and Aivance. 10-minute read → Reference architecture For teams deciding whether governance is technically real Authority Architecture: Governance That Holds at Execution The four authority questions, the three-layer governance stack, and the financial-transaction control pattern that makes AI governance enforceable at the point of execution. Working paper → Self-assessment tool For teams starting to assess their current posture AI Governance Readiness Checklist A 24-point assessment covering AI inventory, human oversight, regulatory compliance, and agentic AI, mapped to the frameworks most relevant in Singapore. About 10 minutes → Living regulatory guide For Singapore financial institutions and their advisers MAS AIRG: Control-by-Control Guide The final AIRG mapped to practical discovery, assessment and testing work, with the 2027 and 2028 implementation phases. Updated June 2026 → Landscape analysis For teams evaluating implementation options The AI Governance Enforcement Layer An independent view of commercial and open-source tools across identity, policy, monitoring, intervention, and evidence capabilities. Updated May 2026 →

About implementation: These resources focus on the governance question and the control design. Closing the gap may require third-party platforms, engineering work, integration, testing, licensing, and ongoing operating costs. Where Aivance recommends solution providers, recommendations are based on fit for the control requirement and any commercial relationship will be disclosed.

Not sure where your AI governance gap is?

Book a complimentary 30-Minute Enforcement Gap Review. We identify where your controls are documented, where they are technically enforced, and what needs attention next. You receive a one-page written diagnosis within 48 hours.

Book the Enforcement Gap Review