Use-case inventory
Centralize AI systems, owners, purposes, data sources and business criticality.
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Loading pageAI Governance
Responsible AI, made operational
Inventory AI systems, classify risk, enforce lifecycle controls and preserve evidence for leadership and audit.
Centralize AI systems, owners, purposes, data sources and business criticality.
Classify inherent and residual risk across safety, compliance, ethics and operational impact.
Enforce stage-gate approvals, controls and evidence across the AI lifecycle.
Ensure transparency with model documentation, rationale and traceable decisions.
Assess and mitigate bias with testing, fairness metrics and remediation actions.
Define human-in-the-loop points, escalation paths and accountability.
Protect data and models with privacy-by-design and robust security controls.
Continuously monitor performance shifts and misuse with incident management.
Maintain complete, immutable evidence for internal, external and regulatory audits.
Evaluate and monitor vendors and third-party models throughout the lifecycle.
Clear ownership across the AI lifecycle — from ideation through retirement — so policy, delivery and control functions stay aligned.
| Role | Ideate | Assess | Approve | Build | Validate | Deploy | Monitor | Retire |
|---|---|---|---|---|---|---|---|---|
| Policy owners | Set principles | Define tiers | Gate criteria | Control standards | Evidence rules | Release policy | Escalation rules | Retention rules |
| Use-case sponsors | Propose intent | Accept residual risk | Sign business case | Own outcomes | Confirm fitness | Go-live authority | Review exceptions | Approve retirement |
| Delivery teams | Scope options | Prepare evidence | Respond to review | Implement controls | Run evaluations | Ship with logs | Fix drift issues | Decommission |
| Control functions | Advise early | Challenge risk | Independent review | Assure design | Verify testing | Release challenge | Incident oversight | Audit evidence |
| Operations | Feasibility input | Capacity view | Support readiness | Run tooling | Ops validation | Operate service | Monitor & respond | Exit runbooks |
A shared operating surface for inventory, risk posture, assessments and incidents.
Illustrative preview · sample data only
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Loading dashboard previewWhether you need a diagnostic, a full framework or an operating command centre, Agrayian structures governance work as a practical delivery programme.
Understand your AI landscape, risk appetite, policies and maturity.
Design governance framework, controls, roles and operating model.
Implement tooling, workflows and integrations to operationalize governance.
Run governance, monitor performance and drive continuous improvement.
Assure with audits, reporting and evidence for stakeholders and regulators.
Strengthen trust, reduce risk and scale AI with confidence.