Services
Seven engagements. Four layers. Specific, auditable outputs.
Seven engagements structured around four layers: Audit (where are your enforcement gaps?), Architecture (where do your governance controls actually live in the stack?), Scale (what is stopping your pilots from reaching production?), and Override (does your system have a deterministic kill switch, and who holds it?). Each produces specific, auditable outputs. Engagements run from two to eight weeks.
Enterprise engagements
AI Risk & Compliance Audit
Diagnoses your enforcement gaps before a regulator, your board, or an investor forces the question. Structured assessment across MAS AIRG, IMDA Framework, PDPA, ISO 42001, and EU AI Act — with explicit distinction between controls that exist on paper and controls that are technically enforced.
AI Governance Framework Design
Designs the enforcement architecture your AI programme needs. The output is not a slide deck of principles — it is a set of technical controls, execution boundaries, accountability structures, and governance calendars that your team can actually operate.
Agentic AI Governance Readiness
Autonomous AI agents take real actions in real systems. IMDA published a governance framework for this in 2026. This assessment maps your deployments against IMDA's four-dimension framework and identifies where human override is nominal rather than deterministic.
Sovereign AI Compliance Programme
Singapore and SEA governments are requiring that AI systems handling sensitive data be built, hosted, and governed locally. This programme maps your AI stack against PDPA, MAS Technology Risk Management guidelines, and ASEAN cross-border data obligations, and builds the compliance posture to operate credibly across jurisdictions.
Pilot-to-Production Governance Sprint
Most AI pilots stall before they scale. Not because the technology failed, but because governance, integration, and oversight were never built in. This fixed-scope sprint diagnoses exactly why your pilots are not moving to production and builds the governance scaffolding to get them there.
Override Architecture Advisory
Designs who holds the kill switch and what happens when they pull it. Covers the Suspended Handoff State — the mechanism that halts an autonomous system at a critical risk threshold and requires explicit human ratification before execution clears. Builds the board reporting structure that makes this oversight real.
SME entry point
For smaller organisations deploying GenAI tools who need a documented governance baseline before the tools go into regular use.
The standard engagement sequence: Audit first — diagnose where your enforcement gaps are and which controls exist only on paper. Architecture second — design the enforcement layer that closes those gaps. Override third — determine who holds the kill switch, define the Suspended Handoff State, and build the board reporting structure that makes oversight real. The Agentic AI Readiness and Sovereign AI Compliance assessments run alongside any of these if you are deploying autonomous agents or handling data across SEA jurisdictions. The Pilot-to-Production Sprint is the right entry point if you have stalled initiatives that need to move to scale.
Governance without enforcement is unmanaged liability.
Start with a free 30-minute AI Governance Review. You will leave knowing exactly where your enforcement gaps are. No pitch deck.
Book Your Free Governance Review