Before an agent touches a live case, we replay thousands of resolved cases through it and compare its decisions with what your team actually did.
Build the test set from reality
Pull a representative sample of past cases, including the messy ones. Remove personal data, keep the outcome, and label what a good answer looks like.
Score what matters
Accuracy is only one number. We also track how often the agent correctly asks for help, how often it acts when it should not, and how long each run takes.
Re-run on every change
Every prompt edit, tool change or model upgrade runs against the same set. If the score drops, the change does not ship.
