Service

QA & Evals

Ship AI assistant changes with confidence. We help you set up QA and evaluation so every change is tested before it reaches users.

The Challenge

Why teams need this.

01
A small prompt change can create a big behavior change
02
A model update can quietly reduce answer quality
03
Action-taking assistants can do the wrong thing in subtle ways
04
"Thumbs up / thumbs down" feedback arrives too late

Without QA and evals, teams ship slower, break trust, and struggle to improve reliably.

What's Included

Our approach

Eval set creation

Build a curated set of real questions and scenarios that represent your most important user intents.

Regression testing

Run the eval set automatically before shipping changes, so you catch problems early.

Failure mode detection

Identify common ways assistants fail: Hallucinations, wrong actions, or partial success.

Quality thresholds

Set clear pass/fail standards based on the impact of the scenario and business risk.

Methodology

Human judgment + Automated checks

Manual QA

  • Review high-risk scenarios
  • Catch tone and clarity issues
  • Spot new failure patterns

Automated Evals

  • Repeatable regression testing
  • Quality trend tracking
  • Pre-release release gating
Deliverables

What you get

01
Current quality baseline report
02
Comprehensive eval test set
03
Repeatable regression process
04
Failure-mode dashboard
05
Safety thresholds framework

Want releases to feel safe again?

If your assistant's quality is hard to trust, we'll help you build a QA and eval system your team can rely on.

Talk to us