Assurance Platform
Governance material you can adopt rather than draft
Maintained policies, control descriptions, role definitions, and approval gates — kept current against a regulatory landscape that is still moving.
Capabilities
What this module provides
Policy templates
AI policy, acceptable use, model development standards, and prohibited-use schedules, written to be enforceable in a real organisation.
Role definitions
Accountable owner, model risk function, independent review, and board reporting line — with the authority each role needs to be meaningful.
Approval gates
Defined decision points across the lifecycle, with the evidence required to pass each one.
Regulatory tracking
Library content is updated as obligations change, with a change log showing what moved and why.
Adoption
A framework nobody follows is worse than none
A governance framework that cannot be complied with teaches an organisation that governance is theatre. We size the framework to what the organisation can actually operate, then tighten it as capability grows.
- Proportionate to materiality
- Mapped to existing processes
- Owner named per control
- Evidence defined per gate
- Exception route documented
- Reviewed on a fixed cycle
Standards
Anchored to published criteria
- ISO/IEC 42001:2023
- Artificial intelligence management system (AIMS) — the certifiable organisational standard for governing AI.
- ISO 31000:2018
- The enterprise risk management framework AI risk must fold into rather than sit beside.
- OECD AI Principles
- The intergovernmental baseline for trustworthy AI, adopted across the OECD and G20.
- IEEE 7000-series
- Standards for addressing ethical concerns during system design.
Other platform modules
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