AI Agent Evaluator New

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.

3CLogic AI-powered Voice AI and contact center platform
The gap

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.

100%

Coverage, not sampling

Manual QA teams review only a small fraction of interactions. AI Agent Evaluator scores every one.

<1 min

From call to score

Evaluations run automatically after each interaction — no queue, no analyst backlog, no waiting for the weekly review.

0

Extra tools required

No separate QA product, no new contract, no data pipeline out of your platform. It’s already inside Voice AI Hub.

How it works

Automated QA, in four steps

01

Configure the questionnaire

Set weighted questions per agent — resolution, goal completion, tone, and compliance.

02

Score every interaction

Reasoning LLMs evaluate each transcript automatically, post-call, and produce a Evaluation Score with category breakdowns.

03

Assess the reasoning

Assess written explanations for each score right beside the transcript — no guesswork.

04

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.

Inside the feature

See quality at a glance — or drill into any single conversation

Evaluation scores

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
Reasoning you can act on

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
Analytics

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
Why teams choose it

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.

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Native vs. bolted-on

Most QA tools weren’t built for AI agents

Standalone auto-QA products were designed for human agent calls — and they live outside your contact center platform. AI Agent Evaluator was built for AI interactions, right where they happen.

Standalone QA tools
  • Separate contract, license, and integration to maintain
  • Transcripts exported to a third-party system for analysis
  • Built around human agent patterns, not AI interactions
  • Scores disconnected from the agent that produced them
AI Agent Evaluator
  • Native to Voice AI Hub
  • Data stays inside your certified environment for compliance
  • Purpose-built to understand AI agent behavior
  • Scores tied to agents, shown right in Voice AI transcripts
Built for

Who gets value on day one

Built for the teams that run your business.

FAQ

AI Agent Evaluator, answered

AI Evaluations is the automated Quality Assurance engine built into 3CLogic's Voice AI Hub, delivering complete visibility into every AI agent conversation, the moment it ends. It instantly scores each interaction on a 0–10 scale across the categories that matter including resolution, sentiment, compliance, accuracy, and more using a configurable, weighted questionnaire tuned to specific goals. Every score comes with clear, plain-language reasoning, revealing not just how agents performed, but why. Teams can surface key customer intents, drill into any single conversation, or track quality trends across thousands—all without the manual review bottleneck—deploying Voice AI agents with confidence, knowing quality is measured automatically at scale.

It uses reasoning large language models to evaluate each transcript against a weighted questionnaire you configure per agent. Every interaction receives a Evaluation Score plus category scores, along with plain-language reasoning you can read directly in the Threads view.

Scoring runs automatically after each interaction, typically within about a minute. AI Agent Evaluator is a post-interaction QA tool designed to measure and improve agent quality — not a live, in-call intervention tool.

Yes. Evaluation results can be pushed to ServiceNow so you can build dashboards and reports on AI agent quality inside the platform your teams already use every day.

AI Agent Evaluator is built to score AI agent interactions and has the potential to evaluate human agent interactions using the same automated, questionnaire-driven approach.

No. AI Agent Evaluator is native to Voice AI Hub. Scores appear alongside the transcript in the Threads view and evaluation history is tied to each agent version — with no separate contract, third-party integration, or data export required.
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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.