System overview
Product/workflow, environment, business owner, technical owner, model providers and consequential actions.
Public template · buyer review · evidence
Turn AI-control claims into evidence a buyer can actually inspect.
This public template shows how BitEvo structures technical evidence for one AI product or workflow. It is not SOC/ISO certification, a legal compliance opinion or proof that the system is universally safe.
Architecture & data flow
Entry point, agent/model layer, tools/MCP/APIs, systems of record, external effects and human oversight.
Authority & identity
Acting identity, allowed/prohibited actions, approval requirements, caps, revocation and escalation.
Tool / MCP governance
Inventory, action classes, credential binding, policy coverage, unknown-tool behavior and retry controls.
Evidence & logging
Can the organization reconstruct actor → decision → approval → tool → effect → resulting state?
Failure & recovery
Timeout, retry, idempotency, partial completion, stale state, resume/replay and operator recovery.
Independent validation
List only real completed scoped tests. Synthetic examples never become customer evidence.
Open gaps
Every unsupported claim should have an owner, impact and smallest closure step.
Claims-to-evidence discipline
Every material claim needs a current source, owner and scope.
Claim→Evidence→Owner→Freshness→Limitation
Good output
Visible support and visible gaps.
A buyer should be able to see what is supported now, how current the evidence is, who owns it and which questions remain unresolved.
Hard boundary
No certification by presentation.
A polished evidence pack does not convert an unsupported claim into a fact and does not replace accredited/statutory assurance.