Govern AI with confidence.
Azentra helps enterprises establish an AI governance process that reduces unintended consequences, strengthens risk oversight, and enables safe, secure adoption of modern AI capabilities — with clear controls, evidence, remediation, and portfolio-level dashboards.
Make governance demonstrable: decisions, controls, residual risk, monitoring signals, and evidence — all traceable.
Guidance that delivery teams can actually execute — without slowing down innovation.
Aggregated dashboards across AI inventory, risks, control effectiveness, incidents, and remediation.
Why AI governance fails in practice
Most organisations have policies — but struggle to operationalise them into repeatable controls, evidence, and oversight across the AI lifecycle.
- Inventories spread across spreadsheets and teams
- Inconsistent risk assessments and sign-offs
- Limited traceability from risk to evidence
- Risk owners, control owners, and approvers not defined
- Remediation actions lack tracking and assurance
- Oversight committees lack a single view
- Models drift, data changes, and threats evolve
- Monitoring and evidence aren’t connected to risk
- Audit preparation becomes reactive and costly
Ready to make AI governance operational?
Tell us your industry and governance priorities — we’ll show a regulatory-focused walkthrough (inventory → risk → controls → evidence → dashboards) and discuss how ISO/IEC 42001 alignment can be supported in your operating model.