Example scenarios
Where most teams are when they start testing their agent.
QA and automation teams are smaller, AI writes more of the code, and nobody has read all of it. These example plans show how teams make what their agent does visible and readable, in plain steps, without reading thousands of lines of code.
Composites built from common patterns, not customer stories.
E-commerce and retail
A five-person team ships a support agent that can issue refunds
The agent answers order questions and can issue refunds. Nobody on the team has read every line the assistant wrote. Here is how they see what it does before customers do.
See the test planFinancial services
A fintech's QA team shrank while AI-assisted changes to money movement kept coming
A wealth copilot can check balances and prepare transfers. Risk and compliance still want evidence for each release, but fewer people are left to produce it by hand.
See the test planDeveloper tools and SaaS
AI writes the code for a multi-agent system, and someone has to understand what it does
An architect, coder, reviewer and tester agent hand work to each other. The delegation logic was generated, and the team wants to see and limit it without reading all of it.
See the test planHealthcare scheduling
A booking assistant that touches three systems and no one has tested end to end
Patients ask the assistant to move an appointment. It calls a scheduling API and the patient then looks at a web page. The team wants one test that follows the whole journey.
See the test planFAQ
Testing agents with a small team
What does a first AI agent test suite look like?
A handful of conversations that matter most, written as plain steps: what the user says, which tools are mocked, what the reply must and must not do, and what must be true in your systems afterward. Add one failure case, such as a tool timeout, and one attack, such as an instruction override, then gate your CI on the result.
How do you review AI-generated code without reading all of it?
Review the behavior instead. Write down what the product must do and must never do as readable test steps, run them on every change, and read the results. You still review the highest-risk code, but you no longer depend on reading everything an assistant produced to know whether the product works.
How can a small team test an AI agent without a QA department?
Use a hosted platform that handles the harness, so the team only writes the cases. CertiQA mocks the tools, judges the answers, runs red-team attacks and returns a pass or fail to CI. Your assistant can draft the suite over MCP and a person reviews it as plain steps.
Author tests with your AI assistantAre these real customer case studies?
No. They are example scenarios built from common patterns teams describe, with no customer names or results, so you can see what a test plan looks like for a situation similar to yours.
Start with the conversation that worries you most.
Write it as plain steps, run it against a staging endpoint, and see what your agent does.