Benchmark Harness
Accuracy you measure, not accuracy you assert.
Evaluation infrastructure built from your own workflows, run continuously against every change to prompts, policies, and models.
Why it exists
Public benchmarks say very little about how a system performs on your reconciliation rules or your network topology. Without workflow-specific evaluation, teams tune on anecdotes and regressions ship silently.
How it works
Golden sets from real work
Historical cases with known-correct outcomes are curated into evaluation sets, including the hard tail: ambiguous inputs, malformed records, and the exceptions that generate most of the operational cost.
Continuous regression runs
Every prompt, policy, tool, or model change is scored against the full suite before promotion. Changes that regress the tail are blocked even when average accuracy improves.
Production drift detection
Live escalation rates, validation failure patterns, and reviewer overrides are tracked against baselines so degradation surfaces as a signal rather than a complaint.
Reportable results
Scores are broken out by workflow, case type, and severity, so risk and audit stakeholders see where autonomy is earned and where it is not.
What it gives you
- Golden evaluation sets built from your historical cases
- Tail-weighted scoring, not just averages
- Pre-promotion regression gates on every change
- Live drift detection from escalations and overrides
- Per-workflow reporting for risk and audit review