AI Adoption That Actually Changes the Company
Source-grounded pack with Diagnose AI Adoption Friction, Build an Adoption Measurement System, and Map AI Adoption Readiness, plus 1 more.
Use this pack when
Choose this pack when the work touches AI Adoption That Actually Changes the Company and you need a bounded workflow with explicit inputs, a defined output, and human review gates.
Included workflows
Choose the job in front of you.
4 source-grounded skills. Load one workflow at a time.
Diagnose AI Adoption Friction
Use this workflow when AI usage is uneven, resisted, hidden, or reverting under pressure and operators need to diagnose workflow, trust, skill, policy, incentive, manager, and support friction using champions, skeptics, and shadow use as evidence.
Output Return an adoptionfrictiondiagnosis with targetbehavior, observedbehavior, evidencebycohort, jobstep, frictiontypes, shadowuse, brokenassumptions, risk, recommendedchange, owner, and nextreviewevidence.
Build an Adoption Measurement System
Use this workflow when measuring whether AI adoption changed normal work and whether a pilot became an operating model, using behavior, quality, cycle time, rework, exceptions, controls, ownership, and learning rather than licenses or logins.
Output Return an adoptionmeasurementreview with decision, cohorts, behaviorfunnel, appropriatenonuse, quality, cycletime, rework, exceptions, riskevents, brokenassumptions, operatingmodeldurability, recommendation, owner, and nextreview.
Map AI Adoption Readiness
Use this workflow when selecting and sequencing AI adoption use cases by consequential work, accountable ownership, input readiness, risk, review capacity, and an observable behavior or outcome change.
Output Return an aiadoptionreadinessmap with candidates, workvalue, readinessscores, evidence, classification, leadusecase, beforebehavior, afterbehavior, owner, managerritual, risks, prerequisites, stopcondition, and sequence.
Plan AI Behavior Change
Use this workflow when turning an AI use case into a durable team habit by embedding a work trigger, usable artifact, role-specific practice, manager inspection ritual, exception support, reinforcement, and iteration loop.
Output Return a behaviorchangeplan with worktrigger, beforebehavior, afterbehavior, workflowartifact, roles, practice, managerritual, support, exceptions, reinforcement, evidence, owner, and reviewcadence.
Human review
Keep consequential decisions explicit.
These workflows structure analysis and artifacts; they do not authorize autonomous external, personnel, financial, legal, security, or other high-impact action.
Source and files
Grounded in the complete AI Adoption That Actually Changes the Company series.
10 source essays · 4 usable skills · reviewed Jul 2026