Governance
Every agent interaction is tested before deployment, monitored in production, and evaluated continuously so your AI workforce improves without manual oversight.
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northstar rules
Every agent held to the same standard
Behavioral standards, made machine-checkable
Encode policies as measurable criteria agents are evaluated against.
Business objectives, made measurable
Tie agent behavior to KPIs your business already tracks.
Calibrated with real examples
Ground evaluations in production-grade conversation examples.
Priority-driven governance
Focus audit and test coverage on your highest-risk workflows first.
Pre-deployment tests
Test agents against challenging scenarios pre-production
Adversarial tests
Stress agents with edge cases and attack scenarios before go-live.
Custom tests
Build scenario libraries tailored to your business rules.
Regression tests
Ensure new versions don't break behaviors that already work.
in-production audits
Catch issues without reviewing every conversation
Behavioral audits
Sample production traffic against your northstar criteria automatically.
Node error tracking and manual flags
Surface workflow failures and operator-flagged issues in one place.
Audio quality monitoring
Monitor voice quality and conversation health at scale.
continuous improvement loop
Every audit, correction, and human feedback feeds back into the system
Closed-loop feedback
Corrections become training signal for the next agent version.
Observability & alerting
Get notified when behavior drifts from defined standards.
A/B testing across versions
Compare agent versions with statistical rigor before full rollout.
Governance built into every deployment
Forward Deployed Engineers
FDEs help define northstars, build evaluation suites, and configure audits from day one. Full customer access — no black box.
intelligence layer
Use intelligence to create and run tests
Connect your systems
Pull context from production systems to generate realistic test scenarios.
Generate and run tests automatically
AI-assisted test generation covers more ground in less time.
Turn issues into improvements
Failed tests flow directly into improvement workflows.
