Know exactly how well your AI agents are performing
AI Agent Evaluator automatically scores every AI interaction on resolution, goal completion, and quality — with written reasoning behind each score. Continuous, 100% QA coverage—built natively into Voice AI Hub.
Deploying AI agents is easy. Knowing they’re working isn’t
As AI agents take on more of the contact center, most teams have no systematic way to confirm those agents are actually resolving issues. Manual transcript review can't keep pace—so poor performance often surfaces only after a customer escalates or churns.
Coverage, not sampling
Manual QA teams review only a small fraction of interactions. AI Agent Evaluator scores every one.
From call to score
Evaluations run automatically after each interaction — no queue, no analyst backlog, no waiting for the weekly review.
Extra tools required
No separate QA product, no new contract, no data pipeline out of your platform. It’s already inside Voice AI Hub.
Automated QA, in four steps
Configure the questionnaire
Set weighted questions per agent — resolution, goal completion, tone, and compliance.
Score every interaction
Reasoning LLMs evaluate each transcript automatically, post-call, and produce a Evaluation Score with category breakdowns.
Assess the reasoning
Assess written explanations for each score right beside the transcript — no guesswork.
Act & report
Act on every low score—pinpoints exactly what to refine, and where, in your Voice AI agent—then report on the gains as targeted fixes lift results and experiences.
See quality at a glance — or drill into any single conversation
One score that tells you how the Voice AI agent is really doing.
Every AI agent gets a live Evaluation Score you can trust — rolled up across all interactions and broken down by the categories you care about. Spot a drop the moment it happens, before it impacts your customers.
- Weighted scoring across resolution, goal completion & custom categories
- Compare agents versions side by side
- Week-over-week trend detection built in
Not just a number — the “why” behind every score.
Open any thread and see the transcript beside its evaluation, with written reasoning for each category. When a score dips, you know exactly which instruction to fix — without reading hundreds of transcripts manually.
- Scores sit right alongside the Voice AI transcripts
- Plain-language explanations, not black-box outputs
- Turn negative interactions into prompt improvements
Executive-ready dashboards, without a data project.
Track quality over time and prove the ROI of your Voice AI investment. Push evaluation results straight to your system of record to build the dashboards your leadership already reviews — all inside the same environment.
- Long-term quality trends per agent and version
- Natively push to your system of records
- No third-party data export or extra integration
QA that scales with your Voice AI Agents
Purpose-built for Voice AI agent interactions and native to the platform your team already runs.
Objective evaluation scores
Replace gut feel with consistent, auditable scores on every interaction — the same standard, every time.
Near-instant, at scale
Score 100% of interactions within minutes of each call — a workload manual QA can never match.
Reasoning, not black boxes
Every score comes with a written explanation, so you know precisely what to change and why.
Native to Voice AI Hub
No standalone product, no separate contract, no transcripts leaving your environment for analysis.
Every change, measured
Evaluation history is linked to each agent, so you can see exactly how a change moved quality.
AI agents, human standards
Apply the same QA approach to your Voice AI agents that you already use for live agents — the same rigor, the same bar.
Who gets value on day one
Built for the teams that run your business.
AI Agent Evaluator, answered
See what your AI agents are really doing
Book a walkthrough of AI Agent Evaluator and see evaluation scoring, reasoning, and dashboards on your own use cases.