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AI Strategy Co - AI Transparency Statement

Last updated:

27 May 2026 (Sydney time)

Who we are:

AI Strategy Co (Australia & Singapore) operates the Managed AI Governance Office (mAIGO™), an advisory-only, controls-to-evidence service for AI pilot readiness, vendor due diligence, and run-state governance.


How AI Strategy Tools differs from AI Strategy Co.  Managed AI Governence Office (mAIGO)
AI Strategy Tools provides workflow tools, diagnostics and managed workflow support for defined operational use cases. AI Strategy Co / mAIGO provides advisory-only governance, evidence-pack and assurance support. Where third-party software, hosting or infrastructure is used, those systems remain client-approved or supplier-provided.

1) Why we use AI:

We use AI to accelerate analysis and documentation in client engagements, for example: risk tiering, control mapping, explainability briefs (XAI), evidence pack compilation, and vendor DDQs, so that executive decisions can be made with audit-ready artefacts in ~30 days. We do not provide automated decisions about individuals on your behalf; mAIGO outputs are advisory and subject to human review.

2) What AI we use:

We may use foundation-model services (LLMs) and domain tools inside client-approved environments to draft or structure material that our consultants then check. When using third-party models, we prefer options that support enterprise controls (data residency, access, logging) and clear model disclosures. Our governance references MAS FEAT principles/Veritas methodology and recent industry guidance on generative AI risks (e.g., transparency, monitoring, third-party accountability).

3) Human-in-the-Loop (HITL):

All deliverables (risk assessments, XAI notes, acceptance tests, DDQs, decision memos) are produced with mandatory human oversight and sign-off. HITL checkpoints exist at draft, pre-issue, and decision-gate stages; rollback criteria are defined for pilots.

4) Data we process with AI

• Typical inputs: client policies, process maps, model cards, vendor documents, security attestations, and de-identified samples for testing explainability.
We avoid: feeding special category or production personal data into third-party models unless contractually required and approved by the client under a documented legal basis.
Residency & transfers: We map processing locations and apply safeguards for any cross-border data movement.

5) Fairness, Ethics, Accountability, Transparency

We align our work to MAS FEAT and Veritas-style lifecycle checks (materiality, design, data prep, build/validate, deploy/monitor), with added generative-AI guardrails (e.g., hallucination checks, provenance notes, recourse).

6) Third-party vendors and DDQ

Where AI tools are used, we apply vendor DDQs covering: secure SDLC, certifications (e.g., ISO 27001/SOC 2), model transparency, continuity/exit (RTO/RPO), sub processors, and incident notification duties. Evidence and scores are kept in the engagement’s Evidence Pack.

7) Operational risk, security & resilience

We operate to the spirit of APRA CPS 230/234 (ops risk, information security) and data-risk guidance, including incident run-books, supplier maps, and durable records suitable for audit. (For Singapore clients, we cross-reference MAS FEAT and related tech-risk/outsourcing expectations.)

8) Transparency to end users

When we help a client draft their own transparency notices (e.g., for pilots with customer touch points), we recommend plain-language disclosures about AI use, human oversight, data sources, and how to request a review, consistent with Australian public-sector transparency practice (DTA) and APRA’s own AI transparency example.

9) Monitoring, evaluation & records

We keep engagement-level logs of AI-assisted activities (prompts/outputs where feasible), review for model staleness or drift where testing is in scope, and retain artefacts (registries, risk/exception/incident logs, DDQs, XAI notes, decision memos) per contract and law.

10) Your choices and recourse

• Clients: You control which AI tools are permitted in your engagement and may opt-out of AI assistance entirely.
Individuals (privacy): For matters under PDPA (Singapore) or the Australian Privacy Act (APPs), you can request access/correction via the contacts below. We support alternative formats on request.

11) Contacts (Australia & Singapore)

• Governance & engagements: governance@aistrategy.au
• Privacy requests (PDPA/APPs): privacy@aistrategy.au
• Transparency logs: transparency@aistrategy.au
• Security incidents (24×7 triage): security@aistrategy.au
• Accessibility/alternate formats: accessibility@aistrategy.au
Service levels: business-hours responses ≤ 1 business day; security incidents triaged immediately.

12) Policy foundations and standards we look to

• APRA AI transparency pattern and updates to prudential expectations (esp. CPS 230/234).
• DTA AI Transparency Statements(structure and minimum content for public disclosures).
• MAS FEAT & Veritas plus the MindForge consortium’s generative-AI risk dimensions and lifecycle controls(transparency, monitoring, third-party accountability).

13) How we update this statement:

We’ll revise this statement when our AI use materially changes or at least annually, mirroring the update cadence adopted by Australian agencies for transparency statements.