Gather AI Governance Artefacts and Decision Records
Compile all existing documentation relating to AI model deployment, decision logs, oversight frameworks, board schedules, and advisor engagement terms. Collate current policy documents, data usage registers, and technical risk assessments into a centralised inventory.
Completing this action creates a comprehensive, auditable inventory of all existing AI governance materials and oversight mechanisms. It establishes the baseline evidence required to evaluate the venture's operational compliance and risk posture accurately.
The founder must present a structured inventory containing current AI policies, board minutes documenting AI decisions, risk logs, and data processing agreements. Every document must be version-controlled, dated, and explicitly mapped to active AI models or operational workflows.
Five questions an expert would ask when reviewing your output
Use these to challenge assumptions, pressure-test your logic, and check the quality of this action's output in the context of the parent task and wider venture development.
- 1
What specific AI decision logs or registry entries prove that board oversight of algorithmic deployment is operational rather than nominal?
- 2
How have you verified that your current data processing agreements explicitly cover third-party AI model training and data ingestion risks?
- 3
Which key AI governance policies are currently missing, outdated, or reliant on informal verbal agreements with advisors?
- 4
Where is the objective evidence that ethics and risk considerations are recorded prior to model deployment rather than retrospectively?
- 5
How does this collected inventory reflect actual developer practices and data flows across the current venture architecture?