Give Shyena a quality goal. It does the engineering.
Shyena connects the quality lifecycle from requirement to release: understand the system, assess risk, design test intent, execute it, investigate failures and produce evidence for the decision.
One platform. A clear quality outcome.
Shyena turns system behaviour into evidence that engineering and business leaders can act on.
Understand
Read requirements, architecture and system behaviour to identify what matters.
Engineer
Create traceable test intent, select execution strategies and generate automation.
Assure
Execute, observe, investigate, repair and prove the result with evidence.
From intent to proof.
A single flow connects understanding, execution, evidence and the final decision.
Understand
Interpret requirements, acceptance criteria and system context.
Assess risk
Prioritise critical capabilities, journeys and failure modes.
Design
Create implementation-independent test contracts and evidence rules.
Engineer
Compile test intent into executable plans and automation.
Investigate
Correlate failures with application and business evidence.
Learn & decide
Repair where safe, re-test and apply release policy.
Move from an automation pipeline to an autonomous quality loop.
Continuous coverage
Quality scope evolves with requirements and application change.
Less manual engineering
Automate the work around testing, not only the browser clicks.
Faster RCA
Investigate failures from correlated evidence instead of isolated logs.
Release intelligence
Make risk-aware decisions from requirements, evidence and policy.
Automation executes. Shyena reasons.
Deterministic engines verify. AI handles bounded reasoning. Evidence proves. Policy governs the release decision.
Start a conversationOracle Fusion. Business-process aware testing.
Use Claude AI with Shyena to understand configuration, business processes and end-to-end enterprise journeys across Finance, HCM, Supply Chain, Procurement and Projects.