
How to build AI agent test cases from support tickets
A support agent can sound polished and still fail the customer. It may pull an expired policy, skip a required account check, or promise a

A support agent can sound polished and still fail the customer. It may pull an expired policy, skip a required account check, or promise a

The first time a customer has to repeat their plan, preferred workflow, and last support issue, your AI assistant feels less like software and more

A small retrieval augmented generation app can fail before the language model writes a single bad answer. If retrieval returns the wrong chunks, better prompting

A single support ticket can contain a customer’s name, phone number, account history, and payment details. Send that raw text to large language models via

Most small SaaS teams don’t fail with AI agents because the model is weak. They fail because the agent gets broad permissions, unclear instructions, or

A support bot that sounds confident while citing the wrong policy is worse than no bot at all. Small SaaS teams do not need a

A feature utilizing RAG evaluation (retrieval-augmented generation) can look reliable in a demo and still fail on the questions customers ask every day. The model

A small support team cannot listen to every call or read every ticket while still keeping up with customer demands. That is where AI customer

Dealing with missed calls from a homeowner with a leaking water heater is never a minor service issue. It is often a lost job, a

If your bot is reading real documentation and still providing incorrect outputs, the source material usually is not the primary problem. The failure often occurs