Expected behaviour
Run repeatable cases against agent workflows and expected outcomes.
ELANROVE / AGENT RELIABILITY
Make autonomous AI prove it is ready.
Evaluate behaviour, regression, tool use, approvals and failure evidence before an AI agent moves toward broader production use.
Controlled-pilot demo access is privately protected.
The method
Test the behaviour. Find the failure. Preserve the evidence.
Protected actions
Check tool risk, approvals and governance controls.
Regression
See what changed between runs instead of trusting one success score.
Trace evidence
Retain evaluator feedback and execution detail for failure analysis.
Evidence from the working platform
Inspect what happened — not just whether it passed.
These views come from the current controlled-pilot platform baseline.
Tool registryPersistent audit trailFailure ExplorerRegression analysisExternal-agent validation
What an assessment delivers
A practical readiness conversation, backed by evidence.
01Risk register
Reliability, governance and operational issues surfaced during testing.
02Failure analysis
Where the workflow failed, how it failed and which evidence supports it.
03Remediation roadmap
Concrete next steps before broader production use.
AI AGENT READINESS
Start with one representative agent or workflow.
Bring an endpoint, workflow or evaluation problem. We scope test criteria, run focused validation and return evidence and remediation priorities.
Readiness criteriaBehaviour evaluationFailure and trace analysisGovernance checksRegression observationsRemediation roadmap
Discuss readiness