Total decisions
4,812
↑ 12% vs last week
Measure, monitor, and explain how agent decisions are made before risk reaches your users.
Problem
Agent systems fail silently. They can return fluent output that looks right while violating policy, missing context, or taking brittle tool paths.
01
Offline benchmarks cannot validate whether a specific production decision made with real context was justified.
02
Uncalibrated evaluators do not reflect your domain definitions of correctness, risk, or acceptable exceptions.
Solution
Calibrate judges to your domain, monitor behavior continuously, and close the loop with actionable diagnostics.
Calibration to monitoring feedback loop
01
We align judges to your annotated decisions so evaluation quality tracks business and compliance expectations.
02
Detect changes in tool routing, retrieval behavior, and decision outcomes before they become user-impacting failures.
Product
Unified product surfaces for decision trace debugging and governance-level reliability visibility.
app.tvishalabs.ai / dashboard
Risk Dashboard · underwriting-agent-v2
Total decisions
4,812
↑ 12% vs last week
Policy violations
23
↑ 3 new (last 24h)
Escalations
118
2.4% escalation rate
Avg risk score
0.34
↓ 0.04 improving
Get in touch
We help teams operationalize trust before critical decisions reach production users.