Trust layer for your AI agents in production.

Measure, monitor, and explain how agent decisions are made before risk reaches your users.

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Problem

The trust gap that blocks deployment

Agent systems fail silently. They can return fluent output that looks right while violating policy, missing context, or taking brittle tool paths.

01

Evals are static. Production is live.

Offline benchmarks cannot validate whether a specific production decision made with real context was justified.

02

Generic judges drift from policy reality

Uncalibrated evaluators do not reflect your domain definitions of correctness, risk, or acceptable exceptions.

Solution

A reliability layer for agentic decisions

Calibrate judges to your domain, monitor behavior continuously, and close the loop with actionable diagnostics.

Tvisha architectureTvisha architecture

Calibration to monitoring feedback loop

01

Domain-calibrated judges

We align judges to your annotated decisions so evaluation quality tracks business and compliance expectations.

02

Live drift and risk detection

Detect changes in tool routing, retrieval behavior, and decision outcomes before they become user-impacting failures.

Product

Built for engineering, operations, and compliance

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

DecisionAgentRiskOutcomeTime
Loan application · $240k commercialunderwriting-v20.71ESCALATED14:32
Policy exception · UW-44-B overrideunderwriting-v20.88APPROVED11:04
Auto insurance claim · $12,400claims-agent-v10.12APPROVED10:51
Mortgage refinance · $410kunderwriting-v20.67APPROVED10:26
Healthcare claim review · $8,900claims-agent-v10.41REVIEW10:12
SME credit line renewal · $95kcredit-agent-v30.79ESCALATED09:58
Travel insurance reimbursement · $2,140claims-agent-v10.08APPROVED09:41

Get in touch

If you are deploying AI agents in regulated workflows, let's talk.

We help teams operationalize trust before critical decisions reach production users.