Resources

AI readiness checklist for mid-market operators

Use this before you fund a quarter of AI work—or before you hire anyone who sells you a roadmap without a baseline.

Most stalled AI programs fail the same intake test. Run this checklist with the person who owns the workflow—not only the person who owns the innovation budget.

  1. One metric. Cost, cycle time, exception rate, labor hours, or dollars recovered. If you can’t name it, you’re not ready to automate it.
  2. Workflow owner. A named human who lives in the queue on Tuesday. No owner, no adoption.
  3. Systems list. Where work actually lives: ERP, EHR, WMS, shared drives, email, portals.
  4. Data slice. A thin, real sample—not a cleaned demo set. Messy is expected.
  5. Risk flags. PHI, OT, safety, quality, payment authority, customer-facing disputes.
  6. Control stance. Where human-in-the-loop is mandatory. Write it down before a vendor demo.
  7. Kill criteria. What “stop” looks like at day 30 / 60 / 90. See kill criteria in an AI SOW.
  8. Non-goals. What you will not boil the ocean on in phase one.

If more than two boxes are empty, start with a 2–4 week assessment—not a platform bake-off.

Start with one metric—not a 90-slide roadmap

Tell us where cost, throughput, or labor is stuck. We’ll tell you if a 2–4 week assessment is the right next step—or if it isn’t.