03 · Build the model · AI
AI Accountability Programme
Build governance that leadership can operate and evidence.
The programme designs a governance framework around the organisation’s size and sector, then establishes the supporting risk, accountability, policy and reporting elements. It includes advisory support through implementation so that the framework is connected to operational reality. The programme creates the governance foundation required before regulatory mapping or certification-readiness work is considered.
The outcome
Your executive team and board can evidence appropriate controls, oversight and accountability for AI — while your AI agenda moves forward faster, not slower, because of it.
What happens
- Design the AI-governance framework and risk-classification approach
- Define roles, responsibilities and the oversight model
- Develop the required policy, documentation and reporting elements
- Support implementation and, where selected, introduce the governance-confidence component
What you get
- AI governance framework designed for your size and sector
- AI risk register and classification methodology
- Accountability structure — roles, responsibilities, oversight model
- Policy and documentation suite
- Board reporting templates
- Advisory support through implementation
- Optional: AI Governance Confidence Programme component at go-live
Boundary. Builds the foundation. Mapping it to regulatory instruments is the Regulatory Compliance Programme, which follows and does not run in parallel.
Next step. Typically follows a diagnostic. Leads to Regulatory Compliance Programme, Fractional AI Governance Officer, or Confidence Programme.