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

AI governance assurance for organisations already putting AI into production

Govern AI
that can act.

You already know that AI systems capable of acting need real controls, not just policy. The harder question is whether your specific control set holds: whether it satisfies MAS AIRG, the IMDA Framework, and the EU AI Act at the same time, whether the model-based controls in it are reliable, and whether you can produce evidence of any of it under scrutiny. Aivance assesses your enforcement layer against the frameworks that apply to you and produces the evidence your board or a regulator will ask for.

Enforcement Gap Review

What you walk away with

In a complimentary 30-minute session, we identify which of three assurance questions your organisation cannot currently answer: does your control set satisfy the frameworks that apply to you, is it technically reliable, and can you evidence it.

Within 48 hours, you receive a written diagnosis mapped to your applicable frameworks, ready to share with your CIO, CRO, or audit committee.

Book your review
Arjen Hendrikse
Arjen Hendrikse
Founder, Aivance · ISO 42001 Lead Auditor
General Member, AI Verify Foundation Member, IASEAI

01Who engages Aivance

The moment that brings organisations here

Governance work is rarely proactive. Something changes, and the question becomes urgent. These are the situations Aivance is built for.

Financial Services & Insurance

MAS AIRG is finalising, and the transition clock starts the day it is issued.

Banks, insurers, and payment providers deploying AI agents for underwriting, claims, or customer-facing decisions face MAS AIRG, MGF v1.5, and PDPA at the same time, not one after another. Aivance assesses whether your existing controls satisfy all three simultaneously, and where the evidence would fail under an incident review or an examiner's questions.

This is the core of Aivance's practice: CROs, CISOs, and Enterprise Architects who need a control set that is technically defensible, not just procedurally documented.

Technology and SaaS

Enterprise customers are asking about AI governance before they will sign.

The product works. Whether your governance posture will clear a large regulated customer's due diligence is a separate question, and it is usually the one holding up the deal.

02What we assess

You already know the difference between governance that is easy to show and governance that intervenes. The question is which side of that line your controls actually sit on.

What most organisations already have

  • Policies
  • Risk registers
  • AI committees
  • Monitoring dashboards

What few have

  • Authority boundaries
  • Runtime enforcement
  • Decision evidence
  • Human intervention architecture

Every assessment starts by locating your controls on this line, then testing whether the ones on the right actually hold under pressure.

03The layer under test

AI now acts faster than anyone can review it.

A system that only generates output can be reviewed before anyone acts on it. A system that executes does not wait. That is why the third layer below exists in your programme in some form already. What we test is whether it holds.

Yesterday

AI generated content

Output went to a person. A human read it, judged it, and decided whether to act. The model suggested. The organisation still decided.

Today

  • AI approves requests
  • AI escalates incidents
  • AI provisions resources
  • AI initiates transactions
  • AI coordinates other systems

Every AI governance programme has three layers: policy, process, and enforcement. By now the real question is not whether you have a third layer, but whether the one you have actually holds, and whether you can prove it.

01

POLICY LAYER

Documentation, oversight committees, regulatory frameworks

02

PROCESS LAYER

Approval workflows, post-hoc audits, monitoring dashboards

WHERE MOST GOVERNANCE PROGRAMMES STOP

03

ENFORCEMENT LAYER

Technical controls, deterministic control points, runtime guardrails

Aivance assesses & designs here

RUNTIME OUTCOMES

APPROVED

Executes within authority

BLOCKED

Prevented by control

ESCALATED

Held for human approval

04How we help

Three flagship engagements

Each addresses a different starting point: the audit, the stalled pilot, or the override question from a regulator or board. Each produces specific, auditable outputs.

4 weeks

AI Risk & Compliance Audit

Diagnoses enforcement gaps across IMDA, MAS AIRG, PDPA, ISO 42001, and the EU AI Act, separating controls that exist on paper from controls that are technically real.

6 weeks

Pilot-to-Production Governance Sprint

Diagnoses why each AI pilot stalled and designs the governance scaffolding that gets it to production.

8 weeks

Override Architecture Advisory

Designs who holds the kill switch and what happens when they use it, including the Suspended Handoff State that halts an agent until a human ratifies.

05What you receive

Every engagement produces evidence you can put in front of a regulator or a board.

The deliverables are concrete and auditable. You know exactly what you are buying before the work begins.

AI system inventory with risk rating

Every AI system mapped, each with a traffic-light risk rating against its actual authority to act.

Regulatory gap analysis

Your controls mapped to MAS AIRG, the IMDA Framework, ISO 42001, PDPA, and the EU AI Act, with paper controls separated from technically enforced ones.

Enforcement architecture

The technical controls and execution boundaries that close the gaps, specified at the level your team can operate.

Override authority design

Who can halt the system, and what happens when they do, including the Suspended Handoff State for high-risk decisions.

Prioritised remediation roadmap

The actions that close your gaps, ranked by risk and effort, so the sequence is defensible.

Board-ready executive summary

A non-technical summary written to be read by your CIO, CRO, or audit committee.

Arjen Hendrikse, Founder of Aivance
Arjen Hendrikse
Founder, Aivance Consulting

06Why Aivance

Practical AI governance, written for the people who have to implement it.

Most governance consultants come from legal, risk, or policy. Arjen comes from enterprise infrastructure: more than 30 years building large-scale systems, including nine years as Director of Advanced Consulting Services for Asia-Pacific and Japan at Akamai Technologies. That background is why Aivance can specify a control that is technically real, rather than one that is only procedurally described.

ISO/IEC 42001:2023 Lead Auditor ISO/IEC 27701:2025 Lead Auditor 30+ years in enterprise infrastructure
More about Arjen →

Featured insights

The analyses behind the enforcement layer

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If you can't evidence it, it isn't governance yet.

Start with the complimentary 30-Minute Enforcement Gap Review. We identify which of three assurance questions your organisation cannot currently answer: does your control set satisfy the frameworks that apply to you, is it technically reliable, and can you evidence it. Within 48 hours, you receive a written diagnosis mapped to your applicable frameworks.

Book Your Enforcement Gap Review