Before you deploy AI, tell the truth about the business. Score the workflows, data, team readiness, risks, and operating gaps that decide whether AI creates leverage or chaos.
Free resource. Built for operators who want clarity before commitment.
The mistake is not ambition. The mistake is deploying intelligence on top of unclear ownership, messy data, disconnected systems, weak governance, and teams that were never brought into the work.
The Self-Assessment gives operators a way to pause, look honestly at the business, and identify what must be cleaned up before AI moves from curiosity into production.
This kit turns AI readiness into something visible. It helps leadership document the current state, identify risk, and choose the right next step in the Operator Journey.
Are the decision makers aligned on why AI belongs in the business and where it does not?
Which processes are documented, owned, repeated, and painful enough to deserve attention?
Where does truth live? Which systems disagree? What manual exports are holding the operation together?
Where is shadow AI already happening, who is excited, and who will resist if the work is forced?
What customer, legal, compliance, brand, or operational risks need boundaries before deployment?
Should you deploy Bertha, run a Staff AI Hackathon, prototype carefully, or clean the closet first?
The output is not a pretty score for a slide. It is a readiness artifact that helps you decide what work comes next.
A practical way to see where the business stands before investing time or money.
A simple view of the places AI could create problems if deployed too quickly.
Direction for whether to start with Bertha, Hackathon, Vibecoding, or cleanup work.
Download the AI Readiness Self-Assessment and create the baseline artifact your business needs before moving deeper into the Operator Journey.
Each free kit supports a different step in the Operator Journey. Start where the work is most urgent, then bring the completed artifacts back into the journey.