IMDA released MGF v1.5 at ATxSummit 2026. One case study shows what enforcement-layer governance actually requires. Read the analysis →

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.

74% of enterprises plan to deploy autonomous AI agents within two years. 21% have a mature governance model for them. The gap between those numbers is where incident risk lives.

Deloitte State of AI in the Enterprise, January 2026

Audit Layer
Architecture & Scale
Override Architecture

Enterprise engagements

4 weeks 20 hours

AI Risk & Compliance Audit

Diagnoses your enforcement gaps before a regulator, your board, or an investor forces the question. Structured assessment across IMDA Framework, MAS proposed AIRG Guidelines, PDPA, ISO 42001, and EU AI Act, with explicit distinction between controls that exist on paper and controls that are technically enforced.

MAS AIRGIMDAISO 42001PDPA
6 weeks 40 hours

AI Governance Framework Design

Designs the enforcement architecture your AI programme needs. The output is not a slide deck of principles: a set of technical controls, execution boundaries, accountability structures, and governance calendars that your team can actually operate.

Enforcement architectureISO 42001 prepExecution boundaries
3 weeks 15 hours New 2026

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.

IMDA Agentic AIDeterministic overrideAutonomous systems
5 weeks 25 hours New 2026

Sovereign AI Compliance Programme

Singapore and SEA regulators are increasingly signalling that AI systems handling sensitive data should 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 produces the compliance posture to operate credibly across jurisdictions.

PDPAMAS TRMASEAN data residencySovereign AI
6 weeks 30 hours New 2026

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 designs the governance scaffolding to get them there.

Production readinessGovernance architectureCompliance sign-off
8 weeks 50 hours

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). Designs the board reporting structure that makes this oversight real.

Kill switch designMAS board oversightHuman ratification

Singapore 2026 AI Initiatives

Your AI investment may already be subsidised

Singapore is investing billions to get businesses using AI. These programmes reduce the cost of getting your governance right.

SGD 150M
Enterprise Compute Initiative

Singapore's ECI funds AI tooling, cloud infrastructure, and consultancy to help organisations build AI solutions. ECI programmes focus on capability and delivery. Aivance covers the governance layer that ensures those systems are deployed responsibly, securely, and in line with emerging regulatory requirements.

Champions of AI
Ministry of Trade and Industry

Firms in the Champions of AI programme need governance structures to deploy AI responsibly at scale. Aivance designs the enforcement architecture that makes those deployments technically defensible, not just policy-compliant.

Tax Considerations
IRAS

AI transformation initiatives may qualify for existing Singapore tax deductions related to innovation and capability development. Governance advisory and risk management are typically incurred in the production of income and may be deductible under IRAS rules, depending on the nature of the expense and your tax position. This can improve the overall economics of an AI investment.

How most engagements sequence: The AI Risk & Compliance Audit first, to establish where your enforcement gaps are. The AI Governance Framework Design next, to design the technical controls that close them. The Override Architecture Advisory last, to make human oversight deterministic and board-reportable. The Agentic AI Governance Readiness, Sovereign AI Compliance Programme, and Pilot-to-Production Governance Sprint each address a distinct problem and can run as standalone engagements or alongside the core sequence. For SMEs deploying GenAI tools, the SME Governance Starter is the right starting point.

Governance without enforcement is unmanaged liability.

Start with the free 30-Minute Enforcement Gap Diagnosis. In 30 minutes, we identify the one missing AI governance control most likely to cost your organisation in the next 12 months. Within 48 hours, you receive a one-page diagnosis on Aivance letterhead.

Book Your Enforcement Gap Diagnosis