Enterprises deploy AI faster than they can govern it. We prove yours thinks right, with evidence.
We first ground evaluation in your bot's purpose, goals, and success criteria, then assure the foundational layer (conversational, responsible, secure, private) and the functional agentic layer (trajectory, tool completeness, end-to-end workflows).
AI systems pass every test you write for them.
What they don't tell you is whether they reason correctly, stay in their lane, or behave consistently when the inputs get unpredictable. Most teams find that out in production, which, for a regulated enterprise, is the worst possible place to learn it.
What your AI Assurance Pod delivers.
A QE Pod that grounds evaluation in your bot's actual purpose, then assures it across the foundational and agentic layers, producing the evidence a regulator will accept.
- AI Assurance Architect
- AI Evaluation Engineer
- Responsible AI Specialist
- Forward Deployable SDET
- Success Criteria Coverage
- Hallucination Rate Reduction
- Groundedness / Faithfulness Score
- Trajectory Success Rate
- Tool Completion Accuracy
- Red Team / Jailbreak Resistance
- Model Drift Detection Rate
- Context Engineering Agent
- Foundational Evaluation Agent
- Functional Evaluation Agent
- Success Criteria Builder
- Hallucination Detector
- Trajectory Evaluator
- Tool Completeness Validator
- Model Drift Monitor
- Context-Grounded Evaluation Framework
- Foundational AI Evaluation Standards
- Agentic Trajectory Assurance Playbook
- Red Teaming & Safety Standards
- Continuous AI Governance & Evidence Model
Every skill in the AI Assurance library.
109 pre-built, contextualised skills your Pod composes into outcomes, no new SOW. Filter by evaluation agent, or search the catalogue.
Each skill is a composable capability your Pod activates against your system, contextualised, not generic. Per-skill detail & install guides coming soon.
Ready to prove your AI thinks right?
Book a 30-minute call. We'll show you what AI Assurance looks like against your specific system, before it costs you in production.