AI workflow diagnostic

Score your workflows before committing to a build.

The diagnostic turns scattered AI ideas into a ranked launch map with the evidence, controls, and operating owners each workflow needs.

Assessment dimensions

Four signals decide whether a workflow is ready.

Each dimension shapes the launch design, reviewer load, controls, and evidence gate.

Volume and repeatability

How often the work appears, how consistent the inputs are, and where exceptions occur.

Decision risk

Whether the workflow affects customers, money movement, policy interpretation, or regulated outcomes.

Data readiness

What sources exist, who owns them, and whether retrieval or structured extraction is reliable enough.

Reviewer leverage

How much specialist time can shift from repetitive checks to accountable exception handling.

First-pass questions

Bring the messy operating context.

  • Which workflow consumes the most expert review time each week?
  • Where do teams already copy context between systems?
  • Which decisions need a clearer evidence trail?
  • What would make leadership comfortable with a limited rollout?

Request a diagnostic readout

Use this static brief to gather the first-pass details your team will need for a diagnostic conversation.

Ranked workflow opportunity map Risk and controls matrix Pilot design recommendation Implementation sequence and ownership plan