Workflow Fit Assessment for company-controlled AI
See whether a workflow is a fit for company-controlled AI, which offer to start with, and what should stay human before you commit.
What the tool evaluates
The assessment considers workflow volume, average handling time, review sensitivity, knowledge dependency, exception frequency, and process fragmentation.
Recommendation logic
Higher review sensitivity and exception frequency point toward policy and exception review. Higher knowledge dependency points toward case resolution assist. Clearer workflows tend to fit Sovereign Pilot Build, while fragmented or policy-heavy workflows may need Sovereign AI Readiness Sprint first.
How to use the result
Use the recommendation to decide whether to tighten the workflow, begin with a readiness sprint, move directly into pilot build, or frame the first operating review around measurable outcomes.
What stays human
Final approvals, risky exceptions, ambiguous cases, policy-sensitive decisions, and low-confidence recommendations should stay with people from the first pilot.
Next step
After scoring the workflow, open the recommended offer or Request Workflow Review with the assessment context attached to the contact submission.