The compliance clock is running. MAS AIRG, EU AI Act, and US state AI laws create overlapping obligations across 2026–2027. Most financial institutions are starting from near-zero. We help you close the gap — with patent-backed methodology and Lean Six Sigma measurement that no other advisory firm can offer.
Schedule a Complimentary BriefingMost AI governance programmes start with policy: write the principles, assign the roles, document the risk appetite. This is necessary but insufficient. Policy tells an organisation what it should do. It does not tell the organisation how to technically implement governance over systems that behave in emergent, non-deterministic ways.
Autonomous AI agents break the fundamental assumptions of conventional security and governance models. An agent's effective permissions are not static — they are a dynamic, emergent property that changes at runtime. An agent designed for a specific task may autonomously adapt its behaviour in novel ways. An agent can execute logically sound reasoning upon premises that are factually stale, manipulated, or incomplete.
Meanwhile, 60% of knowledge work is coordination overhead — meetings, status updates, handoffs, approvals. As AI agents take on execution, this coordination layer structurally evaporates. Organisations face two clocks simultaneously: a regulatory compliance deadline and a structural transformation that is already reshaping how work gets done.
These are not theoretical risks. They are specific technical problems that institutions encounter as they move from AI governance policy to operational implementation.
Four engagements designed to take your institution from assessment through implementation, each backed by patent-derived methodology.
Where do you stand? What's the gap? What do you do first?
A structured 4-week assessment evaluating current AI governance maturity against every AIRG requirement, producing a prioritised compliance roadmap with gap analysis across all nine domains.
Learn moreBuild the policies, structures, and processes MAS expects to see.
A 6–8 week engagement to design and document the AI governance framework required for AIRG compliance — from board-approvable policy suites to AI lifecycle control frameworks.
Learn moreThe AIRG requirement your team doesn't know how to handle.
A focused 2-day workshop for AI teams, risk teams, and technology leadership on the specific risks introduced by autonomous AI agents and the controls regulators expect.
Learn moreOngoing expert guidance as you build compliance.
A monthly retainer providing sustained AI governance advisory — governance reviews, policy review, board preparation, MAS engagement support, and ad hoc advisory on emerging issues.
Learn moreThree patent applications filed in Singapore cover the hardest problems in agentic AI governance: agent identity and cumulative operational authority, cognitive validity and reasoning integrity, and composable auditable decision-making. This is not generic consulting. We invented the solutions and filed the patents.
We apply Lean Six Sigma — the proven methodology banking COOs and CROs already use — to quantify AI governance quality. We measure data sigma, process sigma, and agent sigma. Current agentic processes typically operate at 1–1.5 sigma. You cannot run a six-sigma business on three-sigma data.
Ten interconnected architectural components address specific compliance requirements that policy alone cannot implement: from agentic registries and cryptographic identity to epistemic drift detection and composable reasoning lenses. Some can be implemented today. Others define requirements for future capabilities. We help institutions design the architecture now.
Financial institutions operating across Singapore, the UAE, Europe, and the United States face four or more frameworks simultaneously. We design a unified governance architecture that satisfies the most demanding requirements across all applicable frameworks.
MAS AIRG & IMDA
Final Mid-2026Nine compliance domains. 12-month transition period. Explicit agentic AI requirements.
Learn moreAI Act & GDPR
High-Risk Aug 2026Four-tier risk classification. Most FI use cases are high-risk. Penalties up to 7% turnover.
Learn moreNIST, Treasury & State Laws
Colorado In ForceFederal frameworks plus state-by-state obligations. Colorado AI Act effective February 2026.
Learn moreDIFC, ADGM & Federal
DIFC In ForceMulti-authority complexity. DIFC Regulation 10 already in force. ADGM digital sandbox.
Learn more
Founder & CEO, Corvair Pte Ltd
35+ years selling and delivering complex data, analytics, and AI solutions into banking, financial services, and highly regulated enterprises. Former NUS Chief Solutions Officer. Three patent applications in agentic AI governance. American citizen based in Singapore.
MAS AIRG final guidelines are expected mid-2026, with a 12-month transition period. EU AI Act high-risk obligations take effect August 2026. DIFC Regulation 10 is already in force.
Institutions that begin now will have a material advantage over those that wait.
Corvair offers a complimentary 60-minute Compliance Briefing to help your institution understand its exposure and prioritise next steps.
Schedule a Briefing