Human oversight
Agents propose and act within limits. People stay accountable for decisions affecting customers, staff and money.
Every idea moves through the same five evidence gates. An idea advances only when it has earned it, and every system stays governed for life.
Capture the problem, owner and value at stake
Score value, feasibility and risk
Prove it with real data in one branch
Roll out with IT and the business owner
Monitor value, cost and risk for life
Trust is designed into every model and agent, not added after launch.
Agents propose and act within limits. People stay accountable for decisions affecting customers, staff and money.
Data privacy, agent permissions, model monitoring and cybersecurity from the first pilot.
Models informing pricing, credit, hiring or supplier decisions are explainable and tested for bias.
Every AI workload has an owner, a budget and a value target, tracked in one ledger.
Aligned with UAE data protection law and emerging AI regulation, with IP and licensing reviewed.
Evaluation suites, fallbacks and observability before anything reaches production.
A lean structure that keeps the Centre close to leadership and to the business.
| Body | Role | Rhythm |
|---|---|---|
| SI Steering Board | Chaired by the Group CEO. Sets priorities, approves the portfolio and funding. | Quarterly |
| Head of SI-CoE | Single accountable AI leader. Runs the Centre, the platform and the value ledger. | Continuous |
| Responsible AI Council | Reviews risk, privacy, security and fairness before each gate. | Monthly |
| Domain pods | Cross-functional teams that build and scale solutions. | Sprints |
| Business champions | Owners in each function who define value and drive adoption. | Per initiative |
Start with the problem and the value at stake. The Centre handles the rest.
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