Define
Feature inventory, approved behaviours, risk cases, and acceptance criteria.
For B2B SaaS teams with a live LLM feature
LLM Evaluation for Production Systems
An evaluation framework scoped around the feature’s real inputs, expected behaviour, failure modes, and release path.
01
Behaviour inventory
Map the live feature, its approved behaviours, known risk areas, and the decisions the evaluation must support.
02
Evaluation set
Build a versioned set of representative and failure-focused cases from material the team approves for the engagement.
03
Run pipeline
Create a repeatable evaluation run with captured inputs, outputs, configuration, and results.
04
Failure taxonomy
Group failures in terms the product and engineering team can review, assign, and retest.
05
Release use
Define the agreed review or release gate and document how the team extends the framework after handover.
02 / Delivery sequence
Inventory. Build. Integrate.
The engagement evaluates the agreed production behaviour; it does not promise that a probabilistic system will never fail.
Build
Evaluation dataset, run harness, result capture, and failure classification.
Adopt
Agreed integration point, team review, documentation, and handover.
—
Client inputs
- Access to the agreed feature or test environment
- Approved sample inputs and expected behaviours
- Known incidents or failure cases the team can share
- Technical owner and scheduled product review
—
Separate scope
- Model training or fine-tuning
- Production feature rebuilds
- Open-ended data labeling
- Security, legal, or compliance certification
- 24/7 monitoring and incident response
04 / Project inquiry
Start with the failure path.
Share the live feature, known risks, release path, and the decision the evaluation needs to support.
We reply within 24 hours on business days; if there’s a fit, you’ll receive a private scoping-call link.