Governance controls

FrankAI earns execution by proving control.

The platform model is simple: no agent receives broad trust by default. Capability is staged through scope, approval, evidence and review.

Authority boundary

Every agent action belongs to a named role, permission scope and accountable owner.

Approval gate

External communication, irreversible changes and sensitive access require explicit approval or a documented policy exception.

Evidence trail

Material actions should record intent, context, authority, result and recovery path without exposing unnecessary private content.

Data restraint

Memory and retrieval should store what helps continuity while keeping secrets, raw payloads and high-risk data out of ordinary context.

Execution ladder

Access increases only when the risk model is understood.

L1

Observe
Read-only context gathering, summaries and recommendations.

L2

Prepare
Drafts, plans, proposed actions and validation checks before execution.

L3

Execute with approval
Controlled actions after human confirmation or policy-backed authority.

L4

Autonomous routine
Narrow, reversible, logged tasks only after repeated safe operation.

Governance is part of the product surface, not buried in internal notes.

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