Agent evaluation for HR and recruiting teams shipping AI
An agent ranking candidates or touching an employee file is making decisions regulators specifically watch for bias, and most teams cannot show how a ranking was reached.
Every run scored for quality, performance and risk, and checked against the activity schema you define.
Every HR and recruiting agent run gets watched, evaluated for quality and risk, and checked against the rules you set. One record answers what any agent did, with evidence ready for review.
What's at stake in HR and recruiting
For the recruiters, HR leaders, and engineering teams behind a screening agent, the stakes are candidate and employee personal data the agent can reach and rankings the hiring team is legally accountable for.
Screening agents reach personal data on applicants and employees, and the team needs a record of what each one used.
A ranking that weighed a proxy for a protected class is real legal exposure, and it looks reasonable on the shortlist.
Few teams can show, for a given candidate, which criteria the ranking actually used.
One source of truth for your HR and recruiting agents.
Instrument the agent frameworks you build on, and ingest the systems those agents touch as custom spans. Every run, score and signal lands in one place.
LangChain
Claude Agent SDKSDKCore SDK · TS + PythonOTLPOpenTelemetry · closed toolsObserve. Evaluate. Act.
A record of what the agent did, and a check before it goes further. Each step below closes one of the problems above.
- Observe. Every data point read recorded as its own span
- Evaluate. Each ranking factor checked against the criteria the requisition defined
- Act. Written to an immutable audit trail, queryable per candidate
- EEOC guidance
- NYC Local Law 144 (AEDT bias audits)
- State AI hiring laws
- GDPR (international employees)
Built for everyone who owns HR and recruiting AI.
The same record, read the way each team needs it.
Instrument the HR and recruiting agents you already run — no gateway in the request path, no re-architecture.
For developers →Ship HR and recruiting features without regressions — every run scored before a customer ever sees it.
For product teams →One portfolio view of every HR and recruiting agent — its owner, cost and risk in a single place.
For heads of AI →Audit-ready evidence for every decision a HR and recruiting agent makes, ready when a regulator asks.
Security & governance →Two agents HR and recruiting teams are already shipping.
Hypothetical, but grounded in how HR and recruiting teams deploy agents today.
Resume screening agent
High risk · 84/100A LangChain agent reviews incoming applications against a job requisition's stated requirements, ranks candidates, and passes a shortlist to a recruiter for review.
- Each candidate evaluation recorded as its own span
- Validated against an activity schema that confirms the ranking only used criteria defined in the requisition, not fields like age or a proxy for a protected class
- Scored for quality and risk on every run
For any candidate, a recruiter sees exactly which requisition criteria the ranking used, which is what a bias audit actually asks for.
Interview coordination agent
Medium risk · 89/100A Claude Agent SDK agent coordinates interview scheduling by checking interviewer availability, proposing time slots, and drafting candidate communications for a recruiter to send.
- Every scheduling decision and every drafted message captured as a span
- Checked against an activity schema that confirms the agent only accessed calendar and candidate contact data it was scoped to use
- A configurable risk profile flags a pattern where certain candidates consistently get longer scheduling delays
The team catches a scheduling pattern that looks unfair while it is still a signal, not after a candidate complains.
Runs stay isolated — terminate one without touching the rest of your fleet via the kill switch → · Prefactor vs. observability tools →
The problems this solves
Agents fail quietly and the first signal is a complaint, not an alert.
How it gets caught →Stuck at POCThe pilot worked; sign-off takes months because risk has no evidence.
How it gets caught →No kill switchWhen an agent misbehaves, nothing can stop it short of stopping everything.
How it gets caught →See agent evaluation on your own HR and recruiting agents
Book a demo and we'll walk through span-level scoring and audit evidence on a fleet like yours.
Unified performance platform for agents, authentication, and risk management