01 · Govern
Make AI governance a management system
Turn responsible AI intent into accountable decisions, repeatable evidence and a cadence leaders can operate.
Start here
Your AI governance starting path
Choose your role, programme stage and immediate goal. AEGIS will suggest a focused reading path and first actions.
AI governance lead · Getting started
Build the operating model, connect obligations to controls and keep the programme moving.
Start with a clear mandate, a lightweight register and a consistent intake. Pilot the workflow on a small number of representative systems.
Recommended reading
5 chapters · ordered for “establish foundations”Read
02 · Map
Know where AI is operating
Build a living register covering models, agents, embedded features, vendors, data flows and business owners.
03 · Map
Control the use-case lifecycle
Move from idea to retirement with intake that captures value, harm, autonomy, data and evidence requirements.
04 · Measure
Assess risk and impact before harm
Combine risk registers, impact assessments, legal applicability and affected-person analysis into one decision record.
12 · Improve
Scale maturity through evidence
Use a measured improvement loop to move from ad hoc controls to a resilient, learning governance capability.
First actions
- Publish the governance charter and lifecycle RACI
- Establish intake, inventory and risk review
- Turn control gaps into owned quarterly actions
Open the right tools
This path is a suggested learning sequence. Tailor approvals, controls and review depth to the use case, jurisdiction and people affected.