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Success Stories

Case Studies

See how leading AI teams use Judgment to diagnose failure modes, ensure reliability, and ship autonomous agents with confidence.

Case Study 03

Legal AI

How a Legal AI Platform Improves Its Agents with Judgment

Challenge

Autonomous immigration workflows were constrained by manual review, making it difficult to scale agent decisions without sacrificing accuracy or trust.


Outcome

Judgment eliminated the need for constant manual review, enabled 3x faster agent updates, and saved 100+ hours of lawyer time per month.

Case Study 02

Internal Support Agent

How a Fortune 1000 Enterprise Improved Internal Agents with Agent Behavior Monitoring

Challenge

Internal agents showed inconsistent trajectory efficiency, requiring costly manual review and slowing the rollout of reliable, high-volume search workflows.


Outcome

40% average reduction in trajectory length, seconds shaved off query response times, and 15% lower infrastructure costs through automated trajectory optimization.

Case Study 01

Financial AI

Real-Time Monitoring for a Fintech AI Agent

Challenge

Production agents needed immediate visibility into errors and regressions, with no clear way to detect issues early or learn systematically from live customer interactions.


Outcome

Customer-visible errors reduced by 55%, regressions caught instantly, and customer approval scores improved by 20% after 10 weeks.

Judgment Labs

Agent behavior monitoring for reliable autonomous agents.

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