Independent assessment and testing of AI systems before or during deployment. Covers security, data leakage, reliability, permissions, agent behaviour, governance and operational risk.
Learn more about AI Deployment AssuranceDeploy AIwith confidence
We independently test AI systems and autonomous agents, helping organisations deploy safely and with confidence.
Confidence throughout
the AI lifecycle.
Independent testing of AI products built by vendors before customers rely on them. Covers model behaviour, agent actions, security weaknesses, failure modes, reliability and enterprise readiness.
Learn more about AI Product AssuranceHands-on support helping organisations implement AI safely. This includes risk assessment, control design, vendor evaluation, governance, testing support, remediation and deployment decision-making.
Learn more about AI Deployment SupportOngoing monitoring, retesting and reassessment as models, prompts, agents, integrations and permissions change. Designed as the recurring assurance relationship after initial deployment.
Learn more about Continuous AI Assurance
Helping teams deploy safely
and see measurable results.
- Average time saved during AI assurance and approval
- 30%+
- AI deployments independently assessed
- 300+
- AI tests completed across client environments
- 100,000+
- Material risks identified before production
- 1,500+
- Enterprise teams supported
- 100+
Independent assurance for the systems
transforming your organisation.
SYSTEM SPECIFIC.
AI adoption is moving
faster than assurance.
AI is moving from generating answers to accessing data, using tools and taking action. Copilots and agents are becoming part of business-critical workflows.
Conventional security testing and governance cover only part of the problem. Probabilistic systems need testing that considers how they behave, where they fail and what they can do.
Before you give AI more responsibility,
understand how it behaves.
Beyond the model.
Across the system.
We test the boundaries, behaviour and controls that determine how AI operates in practice.
From questions
to evidence.
A structured process. Clear findings. Practical recommendations.
01
Map the system, deployment and intended use.
We establish what the system is designed to do, the data and tools it can access, the users it serves and the consequences of failure. Scope and assessment criteria are agreed before testing.
Systems evolve.
Assurance should too.
Models change. Prompts change. Permissions expand. An assessment at launch cannot account for every change that follows.
Explore continuous assuranceModel updatePrompt changeNew data sourceTool access
Assess. Evidence. Retest.CONTINUOUS ASSURANCE
Deploy AI with confidence.
Start a conversation about your system, what it needs to do and what you need to know.