KOTTER’S 8 STEPS FOR AI ADOPTION

STEP 1: CREATE URGENCY
– Board Questions: “Why must we act on AI now?”
– Executive Actions: Commission competitive AI analysis, Calculate cost of inaction, Present AI as survival not innovation
– Deliverables: Threat/opportunity matrix, Competitive gap analysis, Board presentation
– Common Failures: Moving without governance, FOMO-driven decisions, Tech-first approach
– Success Metrics: Board approval, Budget allocation, Executive alignment

STEP 2: BUILD GUIDING COALITION
– Board Questions: “Who owns AI transformation?”
– Executive Actions: Form AI Steering Committee (NOT just IT), Weekly meetings first 90 days
– Required Members: CEO sponsor, Business Unit heads, CTO, CFO, CHRO, Legal, Data Lead
– Deliverables: Committee charter, RACI matrix, Meeting cadence
– Common Failures: IT-only leadership, No business representation, Unclear ownership
– Success Metrics: Cross-functional participation, Regular attendance, Clear decisions

STEP 3: FORM STRATEGIC VISION
– Board Questions: “What does AI success look like?”
– Executive Actions: Define 3-year vision, Identify 5 use cases, Set measurable targets
– Deliverables: One-page vision statement, Use case prioritization matrix, Success metrics
– Common Failures: Too technical, Too vague, Not tied to business strategy
– Success Metrics: Board approval, Employee understanding, Measurable goals

STEP 4: COMMUNICATE VISION
– Board Questions: “How do we get buy-in?”
– Executive Actions: CEO town halls, Department sessions, AI literacy program
– Deliverables: Communication plan, Training curriculum, FAQ document
– Common Failures: Fear of job loss dominates, Too technical, One-size-fits-all message
– Success Metrics: Employee sentiment, Training completion, Question quality

STEP 5: EMPOWER BROAD-BASED ACTION
– Board Questions: “How do we enable adoption at scale?”
– Executive Actions: Remove IT bottlenecks, Create innovation budget, Modify blocking policies
– Deliverables: AI COE charter, Approved tools list, Self-service capabilities
– Common Failures: Shadow AI projects, No governance, Insufficient resources
– Success Metrics: Number of initiatives, Tool adoption, Policy changes

STEP 6: GENERATE SHORT-TERM WINS
– Board Questions: “What can we show in 90 days?”
– Executive Actions: Deploy meeting transcription, Automate one report, Launch chatbot pilot
– Deliverables: 90-day wins dashboard, Success stories, Metrics reports
– Common Failures: Picking low-value wins, No visibility, Too ambitious
– Success Metrics: User adoption, Time saved, Cost reduced

STEP 7: CONSOLIDATE GAINS
– Board Questions: “How do we scale from pilots?”
– Executive Actions: Scale successful pilots, Increase investment, Expand COE
– Deliverables: Scale-up roadmap, Resource plan, Expansion timeline
– Common Failures: Declaring victory early, Resource constraints, Change fatigue
– Success Metrics: Pilots scaled, ROI achieved, Resources allocated

STEP 8: ANCHOR IN CULTURE
– Board Questions: “How do we make AI permanent?”
– Executive Actions: Update job descriptions, Tie to bonuses, Mandatory training
– Deliverables: Updated HR policies, Performance metrics, Training requirements
– Common Failures: AI remains IT’s job, No accountability, Skills gap
– Success Metrics: AI in job descriptions, Performance reviews include AI, Sustained usage