Building an AI Roadmap
Roadmap Development
Elements
- Phases
- Milestones
- Resources
- Metrics
Principles
- Strategic alignment
- Iteration and learning
- Parallel development
- Capability development
- Organizational transformation
Success Factors
- Humans + AI mindset
- Executive leadership
- AI literacy & education
- Clear communication
Framing
Increasing readiness
- Evaluating current capabilities
- Board & executive development
- Preparing for an AI-ready culture
Strategy alignment
- Defining AI role in future success
- Aligning AI & business strategy
- Impact on business models
- Identifying priority opportunities
Governance for transformation
- Understanding risks
- Establishing priorities
- Defining AI governance
- Clear communication
Planning
Talent foundation
- Data strategy & governance
- Flexible & scalable infrastructure
- Technology & platform choices
Talent development
- Identifying AI skills gaps
- Cross-functional AI capabilities
- Embedding AI literacy
- Humans + AI collaborative culture
Use case selection
- Brainstorming and surfacing
- Assessment and classification
- High-level business cases
Implementing
Initiating pilots
- Defining success metrics
- Rapid, iterative experimentation
- Capturing lessons learned
Capability acceleration
- AI Centers of Excellence
- Standardizing methodologies
- Upskilling in AI-driven workflows
- Embedding agile experimentation
Foundations for scaling
- Formalizing knowledge-sharing
- Standardizing project frameworks
- Embedding AI best practices
Scaling
Integration
- Organization-wide alignment
- Redesigning workflows
- Embedding AI in decision making
- Enabling processes & structures
Implementation
- Building balanced AI portfolios
- KPIs for iterative feedback loops
- Accelerated project deployment
Business transformation
- AI-driven business models
- Fostering an innovation culture
- Humans + AI work design
- AI at the center of strategy