AI Agent QA & Benchmarking | Solidroad

AI Evaluation

Your AI agents, held to your standard.

Score every AI interaction automatically, catch errors and hallucinations before they reach customers, and use the findings to make your models sharper over time.

Evaluations

ID #890321746102564

Chat

D
Hi! I’d like to request a refund for the two tickets I bought yesterday. Something came up and I won’t be able to attend anymore.
Dan
15:59:53 UTC
Hi there! I'm sorry to hear that. I can help with general questions, but refund requests need to be handled by our billing team. Could you share your order number so I can forward your request to them?
Drake
16:02:20 UTC
D
Sure, my order number is #128213.
Dan
16:08:02 UTC
Switched to email

Hi Dan,

Thanks for sharing your order number. I've forwarded your refund request to our billing team for review. A member of the team will reach out shortly regarding the status of your request.

Best,

Drake
Drake
16:15:25 UTC

AQS

Metric Score
AQS 90
Opening 80%
Meeting Customer Needs 45%
Effective Resolution 85%
Communication Skills 95%
Product Knowledge 90%
Data Capture & System Accuracy 95%

Spot support issues before your customers do.

Quality Score Trend
86%

Score every interaction automatically. Get visibility across channels with automated scoring for 100% of AI-generated responses.

Escalation requested

Target hallucinations and errors immediately. High-risk AI responses are flagged instantly, giving your team immediate insight into what needs review.

Explanation

Meta Support Agent: Should ask for reservation number first before offering a refund for the two tickets yesterday to confirm that you are refunding the correct ticket in case there were multiple purchased.

Improve AI models with targeted feedback

Use feedback to make refinements that help your AI agent of choice improve over time.

Evaluations

Support team evaluation

Metric Score
Testing 80%
Accuracy target 75%
Current accuracy 951
Calibrated 100

Scale QA coverage from 1% to 100%.

No sampling. No backlog. Solidroad reviews every interaction across your human and AI agents, giving your QA team visibility into what’s actually happening across support.

Identify high-risk interactions.

Pattern detection and scoring logic work together to surface interactions that pose customer, compliance, or brand risk, and elevate them to your QA team for immediate review.

Build a QA engine tailored to your team.

Solidroad’s AI model is trained on your real conversations, policies, and scorecards, so that every reviewed interaction is scored according to your voice, workflows, and expectations.

We have complete visibility into quality across hundreds of thousands of conversations. We can verify agent readiness before it impacts customers.”

Alex Dimitrov

Head of Learning and Development

18% Reduction in average handling time
3% Increase in CSAT scores

Case study

Case study