Preparing an AI Workflow for Your BearScope Workspace
Define one workflow, check the source and action coverage, and agree on evidence before expanding scope.
Start with one useful piece of work. A narrower workflow is easier to test because the team can define the source records, the next step, and the evidence that would count as success.
BearScope’s implementation process is a review of your workspace and workflow. Connecting a source, testing a draft, and enabling an action are separate steps. They do not form a universal self-service installer or guarantee autonomous resolution.
Choose the result you want
Pick a problem your team can recognize and measure: investigating a slipping shipping target, finding customers waiting after AI handoffs, or giving cross-team work an owner.
Define the baseline and the period for review. Faster handling, fewer waiting customers, and completed fixes need different measures. Choose the one that reflects the problem you are trying to solve.
Check the connected evidence
Fibric provides the connection layer. Review the records each source can supply, the field mapping, its freshness, and the access scope.
Use the records available in the live workspace. Missing data should remain visible; a demo example is not evidence that the same source is connected for your business.
Review capabilities and authority
A source connection does not authorize a write. Inspect the supported capability, workspace permission, and approval policy for any action you want to enable.
| Readiness question | Evidence to inspect |
|---|---|
| Can the workflow see the needed facts? | Connected records, scope, freshness |
| Is the action supported? | Capability and connector coverage |
| Is the caller authorized? | Workspace role and action permission |
| Does a person need to approve? | Applicable policy and approval path |
| Did it complete? | Execution status and result record |
Customer replies, refunds, carrier traces, and subscription changes each need their own review. Do not infer them from an internal BearScope record action.
Observe before expanding
Letra helps your team investigate evidence and revisit saved decisions. Shadow decisions can show the proposed next step without execution. Use that distinction when reviewing recommendations.
Where a supported governed action is enabled, inspect its outcome and failure behavior. A required permission or trust check that fails should block execution; the team needs an owned path for the work that remains.
Return to the pilot criteria
Check the result against the baseline, including manual review time and unresolved exceptions. Expand only the scope the evidence supports.
Book a demo to define a proof around your workflow and review the sources, permissions, and success criteria together.
See the work in BearScope.
Choose a workflow. We’ll demonstrate the current views, review your sources, and agree what a pilot should measure.
Book a walkthrough →