Acceptance Testing & Quality Assurance

Acceptance against the specification – fully traceable

When generation becomes cheap, verification becomes the bottleneck – and the quality promise. ReqPOOL secures the quality of your software and AI across the entire lifecycle: we check requirements for testability, completeness and consistency before anything is built, derive test cases including edge and negative cases directly from the specification and run acceptance agentically. No agent checks its own work: an independent assessment model rates every test case, every approval remains a human decision. The result is an audit-proof acceptance report with complete traceability from the specification clause to the test result – whether your software was built by a supplier, your team or AI agents.

Independent | Evidence-based | Audit-proof

• Faster acceptance: Decomposition of the specification, test case creation and large parts of test execution run AI-supported – weeks become days
• Higher coverage: Systematically generated test cases including edge and negative cases, coverage reported transparently
• Complete traceability: From clause through requirement and test case to result – robust towards suppliers, auditors and internal audit
• People decide: Test cases and test runs are approved, the final acceptance is yours – every step in an audit-proof log

From requirement quality to the acceptance report

reqChecker checks requirements according to IREB and ISO/IEC/IEEE 29148 before they become the test basis. Signoff decomposes the specification into atomic, verifiable requirements, generates and executes test cases agentically and produces the acceptance report with evidence per assessment. Hosted in the EU, no training on your data, no licence costs.

• reqChecker: Quality check of every requirement – testability, completeness, consistency – with improvement suggestions before test cases are created
• Signoff specification analysis & test cases: Atomic requirements in Gherkin format with reference to the source clause, test cases with test data, edge and negative cases in a traceability matrix
• Signoff agentic test execution: An AI agent tests the target system directly and collects evidence (screenshots, logs); alternatively the AI evaluates screen recordings of your users multimodally
• Signoff acceptance report: An independent assessment model rates every test case; audit-proof report as PDF and Excel export with complete traceability