Quality
Accuracy & reasoning
Factuality, completeness, relevance, calculation, evidence, consistency and domain reasoning.
Model & agent assurance
Test what AI says. Prove what agents do.
Expert-built benchmarks reveal quality, safety and compliance failures before enterprise AI reaches customers, operations or regulated decisions.
Evaluation dimensions
A benchmark grounded in your reality.
We test model output and agent behavior against your domain, policies, tools, thresholds, risk appetite and human-oversight model.
Safety
Risk & robustness
Hallucination, bias, prompt attacks, data leakage, prohibited content and edge-case handling.
Compliance
Policy alignment
Regulatory obligations, enterprise policy, controls, disclosures, records and required escalation.
Authority
Agent permissions
Delegated authority, tool permissions, transaction limits, segregation of duties and approval gates.
Action
Outcome correctness
Whether an agent chose and executed the appropriate action, not only whether its answer sounded plausible.
Evidence
Traceability
Reproducible test cases, model and prompt versions, results, review, exceptions and remediation evidence.
Agentic AI governance benchmark
Evaluate the complete decision chain.
Each scenario can define environment state, agent objective, available data, permitted tools, authority level, expected decision, prohibited behavior, human escalation and required evidence.
- 500-2,000 domain-specific test scenarios
- Automated execution plus expert review
- Risk-weighted pass/fail thresholds
- Failure taxonomy and remediation priorities
- Executive assurance and technical reports
Evaluation trace
- Environment stateCaptured
- Policy & authorityApplied
- Agent decisionObserved
- Expected actionCompared
- Control resultEvidence