Evidence before action
Finn grounds every decision in fresh endpoint data and exposes the signals behind the plan.
Endpoint AI should earn authority through evidence, boundaries and proof. Finn is designed so your team always knows what happened, why it happened and whether it worked.
Review the control model→Autonomy is not a switch. It is a set of explicit policies tied to action risk, endpoint scope and operational context.
Finn grounds every decision in fresh endpoint data and exposes the signals behind the plan.
You define which actions are automatic, which require approval and which remain technician-only.
Protected actions pause with clear scope, intended effect and time-bound authorization.
Finn uses the narrowest tool and authority required for the specific device and task.
Success requires a fresh check of the expected endpoint state—not the exit code of an action.
Evidence, reasoning, approvals, actions, results and learning are attached to the incident record.
Routine, reversible work can move at machine speed. High-impact change still gets human judgment.
Operational memory is scoped to the right organization, environment and device context. Learned guidance is checked against current evidence and policy before reuse.
Walk through a complete Finn action record, including the plan, approval, execution and proof.
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