For Voice AI Teams

Evaluate voice agents before they say the wrong thing.

Voice agents operate in real time with no undo button. A single policy violation, incorrect commitment, or tone failure is heard by your customer immediately. Halios evaluates every voice interaction against your business rules and catches the failures your QA team cannot manually review.

Turn-level evaluation

Call begins

A live interaction starts with a pricing, policy, or escalation edge case.

Turn scoring

Each response is graded for tone, policy adherence, escalation logic, and tool use.

Outcome

Low-scoring turns are routed into QA review and prompt refinement.

Why voice is harder

Text agents fail quietly. Voice agents fail out loud.

Tone drift under pressure

Voice interactions are emotional. Halios detects when an agent’s tone becomes inappropriate or unhelpful during long-horizon calls.

Real-time policy violations

Catch unauthorized commitments, pricing errors, or hallucinated promises before the call ends.

Escalation failures

Identify exactly where the agent failed to hand off to a human or follow the required escalation protocol.

The evaluation loop for voice

Every call. Every turn. Graded against your policies.

Multi-turn trajectory evaluation

We don't just grade the final response. Every turn in the conversation is scored for policy adherence, tone, and logical consistency.

Real-time and offline modes

Evaluate live calls as they happen, or batch-process recorded conversations for QA and training data curation.

Custom voice rubrics

Define evaluation criteria specific to your voice workflows: escalation triggers, prohibited commitments, required disclosures, and tone boundaries.

What gets evaluated

Transcription, tool calls, and state transitions are captured together.
Every turn is checked against policy, tone, and escalation requirements.
Low-scoring interactions are routed into QA review and prompt refinement.

Coverage

Move beyond random sampling. Every interaction becomes usable signal for product, QA, and operations.

Voice-specific rubrics

Measure the things that matter in live conversations: commitments, disclosures, escalation timing, and tone under pressure.

Outcomes

Stop listening to random call samples. Start evaluating every interaction.

Move from random sampling to complete voice QA coverage.

100% coverage

Every voice interaction is evaluated, not a 2% random sample.

Failure pattern detection

Identify systemic issues across thousands of calls, including which prompts trigger tone drift or policy violations.

Continuous improvement

Route low-scoring calls directly into your prompt optimization workflow so the agent sounds better next week than it does today.

Hear the difference evaluation makes.

We'll evaluate a sample of your voice agent interactions and show you exactly where it's falling short, and what to fix first.