Operations Audit & AI Roadmap

You know parts of your operation are slow, manual, and error-prone. What you don't know is which parts are worth automating, in what order, at what cost, or whether AI is even the right answer. Most AI projects fail here: someone picks the wrong workflow, builds the wrong thing, and burns the budget proving it. Vendors are no help, because every vendor's audit somehow concludes you should buy their product.

• A senior consultant and an engineer walk your operation end to end: shared inboxes, shadow spreadsheets, portal swivel-chairs, periodic compilations.
• We score every workflow on six axes: volume, repetitiveness, cost of error, data messiness, compliance load, and integration difficulty.
• Anything scoring 70+ is a build candidate; anything below 35 we tell you to leave alone, in writing.
• You get a costed, sequenced roadmap mapping each workflow to a rung of the Ladder, with expected payback and tackling order.
• Where a build is on the table, we usually recommend a small fixed-fee proof of the hardest part before anyone commits.

• An operations map covering your core functions, with the four universal organs flagged
• A scored workflow register, every candidate rated on the six axes, with build / assist / decline calls made explicitly
• A costed, sequenced AI roadmap mapped to the five rungs of the Ladder
• A payback estimate for the top candidates, anchored to your real re-keying and error costs
• A written 'do not automate' list: the workflows where AI won't pay back, and why
• A leadership readout session with a one-page summary they can act on