AI Governance & Assurance Advisory · Triodian

AI governance & assurance advisory

AI governance that operates in the real organisation.

Independent AI governance and assurance for government, financial institutions and regulated organisations deploying consequential AI.

Book a 20-minute call → Three ways in ↓

From policy to operating controls

AI and automated-decision inventory · risk classification · governance architecture · control design · pre-deployment assurance · evidence · remediation.

Who you are working with

20+ years in enterprise technology and transformation, across Commonwealth and state government and regulated institutions, and founder of Triodian.

Selected engagements: WorkSafe Victoria · Power and Water Corporation · Bureau of Meteorology · Department of Transport and Planning · Australian Department of Home Affairs · Office of Public Prosecutions Victoria · Queensland Police Service · Australian Unity · City of Casey · Seven West Media · Tennis Australia.

How to engage

Three ways in.

Start here

Diagnostic

A$12,500 · 5–8 working days

An AI and automated-decision inventory, a gap analysis against the framework you work under, and a 90-day plan.

Review

Governance Readiness & Architecture Review

A$30–50k · 3–4 weeks

Governance architecture, control design and pre-deployment assurance, mapped to accountabilities and evidence.

Ongoing

Fractional AI Governance Architect

Day rate · 2–3 days a week

Accountable-officer support and standing governance capability, on a quarterly basis.

Australia · fixed fee, two weeks

10 December ADM Readiness Sprint

ADM inventory → applicability → data map → decision categories → disclosure gap analysis → draft APP privacy-policy wording → control gaps → 90-day plan.

Why now

The obligation your customers and regulators are applying.

  • Australian Government Responsible AI Policy v2.0, already in force.
  • Privacy Act automated-decision transparency obligations commencing 10 December 2026.
  • NSW AI Assessment Framework; CPS 230 operational-risk and third-party controls.
  • Algorithmic Transparency Recording Standard (ATRS) and PPN 017 on AI in procurement.
  • NHS DTAC and the assurance expectations attached to AI in clinical and administrative use.
  • FCA/PRA expectations on AI in regulated decisions and the ICO's guidance on automated decision-making.
  • EU AI Act deployer obligations for high-risk systems.
  • DORA ICT third-party controls for financial entities.
  • Sector guidance now flowing to suppliers and their assurance evidence.
  • NIST AI RMF alignment now expected by customers, insurers and auditors.
  • NAIC AI model bulletin for insurers.
  • SR 26-2 and examiner expectations on AI in consequential decisions.
  • Directive on Automated Decision-Making.
  • Algorithmic Impact Assessment expectations now flowing to suppliers.
  • Provincial privacy expectations on automated decisions.
  • MAS expectations on AI risk management.
  • IMDA Model AI Governance Framework.
  • Sector assurance expectations for regulated decisions.

For consulting partners

Add senior AI governance and assurance capability to a client engagement without hiring it, a named specialist, your brand or mine, two-week start.

Why I know the problem

I founded Triodian to develop enforceable AI governance, translating policy and institutional constraints into controls that can be checked at the point an AI system acts, with evidence of the decision afterwards. That work is why I know which controls organisations struggle to evidence. triodian.com →

Book a 20-minute call