Reviewing AI Permissions and Guardrails in BearScope

Your team should be able to answer a simple question before enabling an AI action: what can it change, and on whose authority?

BearScope’s AI controls sit across Quality, Approvals, and Settings. Fibric provides the connected capabilities and policy checks for supported governed actions. The available controls depend on the connector and workspace configuration.

Review reading and acting separately

A connected source can provide useful context without allowing the AI to change it. List the records needed for the workflow, then review source access and permissions with the people responsible for those systems.

Reading is still an access decision. Give the workflow the context it needs within the workspace’s permission boundaries; do not assume that reading every system is harmless.

Inspect the action inventory

Look at the capabilities actually available to your deployment and role. A capability listed in an integration does not automatically become an enabled BearScope action.

For each action, confirm:

• The target and change it supports.
• The permission that allows it.
• The policy checks and human approval requirements.
• The result record that establishes success or failure.

An internal record change is a useful starting point. Refunds, replacements, customer messages, and account cancellations require their own supported connectors and permissions; they are not universal BearScope controls.

Review proposals before execution

Use available saved decisions and shadow work to assess what the AI proposes. A shadow decision can reveal a poor recommendation without changing a record. It does not establish that an executable capability is ready.

For governed actions, Fibric checks the validated plan and required authority before execution. A missing permission or failed required check blocks the action. Your rollout review should also define when a person needs to make the decision.

Set the evidence for expansion

Agree on what the pilot must establish: source freshness, correct targets, acceptable recommendations, reliable execution results, and a workable handoff when the workflow stops.

Review the results before expanding scope. There is no universal switch that turns all connected sources into autonomous customer-facing actions.

Book a demo to inspect the available capability inventory and approval path for one workflow, or read the security controls for the governed execution model.