From business conversations to tested software
Three steps, one chain
The agents learn your requirement structure, testing conventions and documentation models. The same workflow runs the same way every time.
Conversations become requirements
A recorded workshop or business meeting is turned into structured requirements. Unclear points are raised as questions instead of being guessed. Business checks the result in its own language.
Requirements become tests
Test cases are produced from the requirements. Writing the test forces the requirement to be precise, so gaps and contradictions surface before development starts.
Tests run and stay current
Testing runs from a given test plan or one the agents produce. When the system changes, the tests are updated with it – which is where test automation usually breaks down.
Which of these is your problem?
Business explains the need in its own language. An analyst turns it into a specification, a developer reads it differently. Every handoff loses detail, and workshop recordings sit unused while the team argues about what was agreed.
What the agent does:
- Turns the recorded business conversation into structured requirements
- Flags the gaps and contradictions instead of guessing past them
- Returns the requirements to business in language they can check
Result: the specification says what business meant, and it is corrected before a line of code is written.
AI tools make individual developers faster, but delivery stability drops. QA spends its time writing repetitive cases instead of finding defects, and coverage stays uneven because no person thinks of every scenario.
What the agent does:
- Produces test cases from the requirements
- Runs the testing from a given test plan, or one it produces itself
- Updates the tests as the system changes, which is where automation usually breaks
Result: testing moves at the speed of development, not three sprints behind it.
Deliveries arrive from an external software vendor with a test report you have no way to verify. Coverage gaps only surface in production, and the conversation about who was responsible starts too late.
What the agent does:
- Compares the supplier's testing against your requirements
- Shows exactly which requirements have no test behind them
- Fills the gaps so the coverage is provable
Result: you know what was tested, and the supplier knows you know.
Grow with Aileo
Times Faster Specifications & Testing
Of project budget saved from miscommunication rework
To document 200 API endpoints — previously three weeks
To run an agent workflow that produces current documents and tests
Choose the Best
Unlock the full potential of AI testing with our expert guidance. We offer comprehensive methods to implement AI testing teams across your organization, ensuring seamless integration and maximum efficiency. From strategy development to execution, we've got you covered every step of the way.
Your specs. Our AI. 10x faster delivery.
Bring us your most complex specification challenge. We'll show you what industrial-scale AI agents can really do.