Map the system and intended use
Define the purpose, data and model boundaries, who may be affected, and which decisions the system may influence.
Our governance approach
Aegis: make governance usable at the point of decision.
Aegis brings a practical structure to the governance work surrounding AI. It connects the use case to its owner, risk, policy, controls, human oversight and the evidence needed to decide whether to proceed. The aim is to keep governance in the delivery process, rather than reduce it to a report produced afterwards.
The working sequence
From a proposed use case to an accountable decision.
Different risks demand different controls. Aegis helps structure that conversation rather than claiming every AI system fits one score or automatic classification.
Assign authority and controls
Identify the accountable owner, required approvals, human oversight, and controls proportionate to the use case's consequences.
Maintain evidence and review
Record the reasoning, review outcomes, and escalation route as the use case changes in practice.
Supporting capability
Tools should serve the decision, not substitute for it.
Where they are useful, supporting tools or platform components may be considered as part of an agreed engagement. Specific functions, deployment method, security arrangements, and availability are confirmed through a demonstration and statement of work.
No software function, customer adoption, automatic legal classification, regulatory certification or guaranteed compliance outcome is implied by this page. Ask us to demonstrate any particular capability before relying on it.
Discuss a governed AI use case.
Bring the decision and its operating context. We will help identify the authority, controls, and evidence it requires.