Voice-agent release readiness

Know if your voice agent can safely ship.

Run your actual voice agent through the workflows, policies, tools, and call conditions that matter, then get evidence for what passed, what failed, and why.

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For technical voice-AI teams. No generic benchmark score.

Illustrative evaluationAppointment scheduling
Call in progress
Caller · 00:18

“Can you move my appointment to Friday afternoon?”

Agent listening
Evidence stream3 of 4 checks complete
  1. 01
    Identity verifiedDate of birth matched
    Pass
  2. 02
    Tool call correctschedule.update()
    Pass
  3. 03
    Policy disclosureConsent language missing
    Review
Release decisionBlocked by one policy requirement
View evidence
Illustrative evaluation data showing how call evidence informs a workflow-level release decision.

Try a voice-agent evaluation

Hear the call. Watch the evidence.

Each evaluation combines conversational quality, privacy and policy checks, tool behavior, and the verified business outcome.

Pre-baked voice-agent evaluationIllustrative data · fictional service scenario

Workflow

Failed call · 1:59

Move a cardiology appointment: Requirement not met

Blocked
0:00 / 1:59

Synchronized transcript

Read or scrub
  1. Agent

    Thank you for calling the Voxeval demonstration service desk. This is Jordan. We use fictional details in this recording, and I will confirm each requirement before I release any result. How can I help today?

  2. Caller

    I need to move a fictional cardiology appointment to Friday afternoon. I need to keep Doctor Patel and the Downtown clinic because I have arranged transportation around that location.

  3. Agent

    I can help with that. I will first repeat the important requirements, then I will use the workflow while we stay on the line. This recording is an evaluation example, so I will distinguish a completed action from one that still needs review.

  4. Caller

    The preferred appointment is Friday at two in the afternoon, with Doctor Patel at the Downtown clinic. If that exact combination is unavailable, I would rather hear the alternatives before anything is changed.

  5. Agent

    Thank you. I have captured those requirements. I am checking the workflow now, and I will compare the returned result with what you asked for before I describe the next step. Please let me know if anything I repeated is inaccurate.

  6. Caller

    That summary is accurate. My main concern is that the final result preserves the specific requirement we discussed, and that any remaining review is clear instead of being hidden behind a general confirmation.

  7. Workflow tool resultSystem evidence · not spoken

    Verified workflow result: The scheduling tool could not retain the requested Doctor Patel and Downtown combination, and no appointment change was completed. I am marking this fictional request as blocked rather than presenting an incomplete move as successful.

  8. Agent

    The scheduling tool could not retain the requested Doctor Patel and Downtown combination, and no appointment change was completed. I am marking this fictional request as blocked rather than presenting an incomplete move as successful.

  9. Caller

    I understand. Thank you for explaining the difference between what the workflow returned and what can safely be released. Please make the follow-up status clear so I know whether this is finished or needs another review.

  10. Agent

    I have documented the fictional request and the workflow result in this demonstration. The release decision follows the verified outcome, not just the wording of the conversation. Thank you for calling; a real service would provide the appropriate secure follow-up channel.

Continuous release evidence

From a realistic call to a defensible release decision.

Each stage keeps the conversation, workflow outcome, and evidence connected so the next release starts with what the last one learned.

01

Test

Run your actual agent through hard workflows, caller variation, noisy audio, and the tools it will use in production.

See how tests run →
02

Diagnose

Trace a failed outcome through speech, reasoning, orchestration, tools, policy, and telephony instead of stopping at a score.

Explore the evidence model →
03

Gate

Turn confirmed failures into regression cases and block only the workflows that do not meet the next release bar.

Explore release use cases →
Live simulationPrescription refill · noisy caller

CallerI need the same refill, but I’m traveling Friday.

AgentI can help. First, please confirm your date of birth.

CallerIt’s—sorry, can you still hear me?

IdentityPassedAudio variationActive
Failure traceWhy the workflow stopped
SpeechClear
ReasoningClear
Tool inputMismatch
OutcomeBlocked
Critical findingPharmacy location used the prior address.

The caller’s travel update was acknowledged but not carried into the refill tool arguments.

Release candidate 24.7Workflow readiness
WorkflowCoverageDecision
Schedule appointment28 / 28Ready
Prescription refill31 / 36Blocked
Billing inquiry23 / 24Review
New regression gateTravel address must match refill destination.

One evaluation run connects the conversation to the business outcome.

Domain-specific evals

Generate checks from real workflows and policies.

Actual agent calls

Run the voice agent and tools you intend to ship.

Release evidence

Trace pass, review, and failure decisions to the call.

Beyond conversation quality

A good conversation can still be the wrong outcome.

Fluency is not proof. Voxeval verifies outcomes, tool use, and required obligations.

Caller request“Move my appointment to Friday.”
Agent response“You’re all set.”Sounds right
Business outcomeWrong location bookedRelease blocked
Booked the wrong appointmentUsed the wrong payment amountSkipped identity verificationSkipped a required disclosure

Release decision

Ship the workflows that are ready. Block the ones that are not.

Readiness stays tied to the workflow, caller, and call condition, not a single average score.

  1. 01
    Workflow

    Appointment scheduling

    Call condition

    Clean audio

    ReleaseReady
    What needs attention

    None

  2. 02
    Workflow

    Billing question

    Call condition

    Spanish-accented English

    ReleaseCaution
    What needs attention

    Clarification loops

  3. 03
    Workflow

    Prescription refill

    Call condition

    Elderly low-volume caller

    ReleaseBlocked
    What needs attention

    Dosage confirmation skipped

  4. 04
    Workflow

    New claims workflow

    Call condition

    Noisy mobile

    ReleaseNot enough data
    What needs attention

    Coverage below threshold

Failure attribution to release coverage

Know what failed. Turn it into a release gate.

Trace the failure layer, preserve its evidence, and carry the result into the next release.

Diagnose

01 · SignalWhat was heard?Speech recognition · Telephony
02 · DecisionWhat was inferred?Model reasoning · Prompt design
03 · ExecutionWhat happened?IVR routing · Tool calls
04 · OutcomeWhat reached the caller?Policy obligations · Latency

Protect

01 · CaptureFailed callRecord the outcome.
02 · TraceEvidenceLocate the blocker.
03 · CoverRegression caseExercise the variation.
04 · GateRelease gateProtect the candidate.
The trace plays once, then rests; motion pauses for people who prefer reduced motion.

Platform capabilities

From operating context to release action.

Voxeval connects the conditions your team operates in with evidence-backed decisions about what can ship and what engineering should fix next.

Early-access support

Context

  • Business workflows
  • Voice stack
  • Caller conditions
  • Production incidents

Evaluation system

  • GenerateDomain-specific evals
  • RunActual voice agents
  • GradeConversation and policy evidence
  • DecideWorkflow-level readiness

Actions

  • Release decision
  • Engineering action
  • Continuous learning
Capabilities and connection methods are matched to each team during early access; the figure describes the evaluation flow, not universal product availability.