SERVICES / CONSULTING
Confidence before
production.
Independent AI testing consulting for teams building LLM applications, RAG systems and AI agents.
Turn uncertainty
into testable evidence.
Scope the risks, design meaningful evaluations and give release decisions a clear evidence base.
Testing strategy & readiness
Define what good looks like for your AI system and how to measure it.
- Review the use case, architecture, users and failure impact.
- Prioritise test scenarios, quality criteria and release gates.
- Create a testing roadmap with ownership and an evidence plan.
Agent & RAG evaluation
Evaluate answers and the actions behind them.
- Check correctness, relevance, groundedness and retrieval quality.
- Test tool selection, arguments, multi-step workflows and failure recovery.
- Design golden datasets, human review rubrics and repeatable regression suites.
Security & red teaming
Challenge unsafe behaviour within an agreed, authorised test scope.
- Test prompt injection, information leakage and unsafe tool use.
- Exercise adversarial inputs and boundary conditions.
- Deliver prioritised findings, remediation guidance and retesting.
Governance & risk
Connect quality controls to accountability and review.
- Create risk registers and map risks to tests and evidence.
- Review human oversight, privacy handling and escalation paths.
- Support compliance evidence preparation; this is not legal advice or certification.