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.
Why teams need this.
01
A small prompt change can create a big behavior change02
A model update can quietly reduce answer quality03
Action-taking assistants can do the wrong thing in subtle ways04
"Thumbs up / thumbs down" feedback arrives too lateWithout QA and evals, teams ship slower, break trust, and struggle to improve reliably.
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.
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
What you get
01
Current quality baseline report02
Comprehensive eval test set03
Repeatable regression process04
Failure-mode dashboard05
Safety thresholds frameworkWant 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