From Requirements to Evidence
AI-assisted testing.
Human-led quality.
Turn requirements into test cases and automation scripts with the AI. Your team reviews the work, runs the tests, and keeps every result connected to its source.
Human in the loop. Traceability throughout.
Start with clear intent.
Define the behavior and the conditions to verify.
Find Open Requests
A team member needs to find requests that still need attention.
Turn intent into test drafts.
The AI proposes the tests. Your team has the context.
Filter Open Requests
Restore the Complete List
Each draft stays connected to its source.
Your experts make the call.
Inspect, refine, and explicitly accept the test cases.
Expert judgment stays in control.
Turn accepted cases into scripts.
The AI generates automation, ready for human review.
Filter Open Requests
Generated from the reviewed steps and expected results.
Review the script. Run the test.
Your team accepts the script, then runs the automation.
filter-open-requests
Open the Requests page
Apply the Open status filter
Compare expected and observed results
Keep the evidence connected.
Follow a result all the way back to the requirement.
Illustrative workflow · Your team controls acceptance
From Intent to Evidence
A clear process.
Human judgment at its heart.
The AI helps your team move from requirements to testing. People review the work, and every stage stays connected to its source.
- 01
Define the Requirement
Bring in the source context and acceptance criteria.
- 02
Generate Test Cases
The AI drafts tests from your requirements.
- 03
Review the Test Cases
Your experts refine the drafts and decide what to accept.
- 04
Generate Automation Scripts
The AI turns accepted cases into automation scripts.
- 05
Review and Run
Review and accept scripts, then execute the tests.
- 06
Trace the Evidence
Connect results to the requirements they verify.
Keep the Thread
When requirements change,
keep the evidence connected.
See which cases cover each requirement and where review is needed. Keep test cases, scripts, and results connected as the work evolves.
- Coverage tied to acceptance criteria
- Changes that surface the need for review
- Version history and recorded review decisions
Requirement & Acceptance Criteria
The intended behavior and the conditions to verify.
Reviewed Test & Script
Explicit acceptance decisions tied to the work.
Execution & Evidence
The observed result, connected to its source.
Works with
your toolchain.
Azure DevOps
GitHub
TestRail
Playwright
Jira
qTest
Selenium
Does the AI approve the tests it creates?
No. The AI produces drafts. A reviewer explicitly accepts test cases and scripts. Your team can inspect and refine the work before making that decision.
Can we keep our existing repositories?
Yes. Accepted scripts can be delivered to GitHub or Azure Repos through a pull request. Your team keeps control of repository review and CI configuration.
Does every test have to be automated?
No. AperioTest supports manual and automated testing. Organize runs, record outcomes, and follow results back to the test cases and requirements.
What should we bring to a demo?
Bring a representative requirement, your current testing workflow, and the tools your team uses. We can walk through test design, review, traceability, and evidence for your team.
Your Process. Connected.
Bring clarity to your
testing workflow.
See how AperioTest fits your team, your tools, and your process.