LoadingLoadingLoadingLoadingResponsible, secure and deployment-ready AI
Assess, validate and continuously govern your AI systems before and after they go live.
Required controls and evidence are in place.
It can proceed once defined actions are completed.
Material gaps must be fixed first.
AI systems moved to production on the strength of a working model alone
No evidence that controls are in place and effective
No clear answer to whether a system is ready to deploy
Structured assurance of AI use cases across risk, controls, testing and evidence
A clear deployment position: ready, ready with conditions, or not ready
Prioritized remediation actions for every identified gap
A starting point for ongoing, enterprise-wide AI governance
Understand the use case and its risks.
Map guardrails and review testing.
Validate the evidence, then judge control effectiveness and residual risk.
Deliver the AI Assurance Report, the deployment position and a remediation plan.
Start with one priority AI use case, then grow into continuous governance.
Purpose, users, data and decision impact.
Safety, privacy, security, bias, explainability and regulatory exposure.
Access, data, human-in-the-loop, model and change controls.
Accuracy, robustness, adversarial and hallucination testing.
An auditable trail of policies, test results and approvals.
What remains, who owns it and what to fix first.
Having a control isn't enough. We check it all the way through.
The use-case profile, risk assessment, control and evidence review, residual risk, prioritized remediation, and a clear deployment position.
Does the model work?
Is it governed and controlled for how you'll actually use it?
Model testing asks whether the model works. AI assurance asks whether it is governed and controlled for how you will actually use it.
A clear deployment position: ready, ready with conditions, or not ready, plus prioritised actions for each gap.
It can be the starting point for ongoing, enterprise-wide AI governance.
AI use cases across risk, controls, testing and evidence.
Let us assess its risks, controls, evidence and deployment readiness.
