Test AI agents through realistic journeys, evaluate behaviour, verify execution integrity and produce evidence-backed release decisions with Shyena.
AI agent testing must validate more than the final answer. Shyena tests goals, multi-turn behaviour, business rules, tool use, execution integrity and security so teams can understand what actually happened during a run.
Define a business goal, persona and behavioural playbook. Let the test adapt to the agent's live responses instead of replaying one brittle transcript.
Combine deterministic assertions with semantic evaluation so quality, business rules and system behaviour are judged together.
Execution integrity checks whether the journey actually completed as intended. A convincing response cannot hide a missing tool call, premature termination or failed business state.
Keep the journey, conversation, evaluation, findings, component and verdict connected so a release decision can be reconstructed from evidence.
AI agent testing validates whether an agent achieves its intended goal while respecting business rules, tool-use constraints, state transitions, security controls and quality expectations across realistic interactions.
Agent testing examines the full execution path, including orchestration, tools, state and side effects, rather than evaluating only the generated conversation text.
Yes. Shyena is designed to connect assurance runs and release evidence to engineering workflows and release gates.
Bring one business journey and see how Shyena maps, tests, evaluates, secures and connects the evidence to release decisions.
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