Module 130 minutes
AI Maturity Assessment
Assess your organization's AI readiness. Identify strengths, gaps, and priorities for AI transformation.
maturity-assessmentreadinessenterprise-ai
Learning Objectives
- ✓Evaluate AI maturity across dimensions
- ✓Identify capability gaps
- ✓Prioritize improvement areas
- ✓Create roadmap for advancement
Know Where You Stand
Before transforming, assess current state objectively.
AI Maturity Model
Level 1 - Exploring: Piloting, no production AI
Level 2 - Implementing: Some AI in production
Level 3 - Scaling: AI across departments
Level 4 - Leading: AI-first organization
Assessment Dimensions
1. Strategy: Clear AI vision and goals
2. Data: Quality, accessibility, governance
3. Technology: Infrastructure and tools
4. Talent: Skills and capabilities
5. Culture: Experimentation and adoption
6. Governance: Policies and oversight
Scoring Framework
For each dimension, rate 1-5:
- 1: Non-existent
- 2: Initial/ad-hoc
- 3: Defined processes
- 4: Managed and measured
- 5: Optimized continuously
Gap Analysis
Compare current vs. target state:
- Where are critical gaps?
- What's blocking progress?
- Quick wins vs. long-term builds
- Resource requirements
Key Takeaways
- →Assess across all dimensions, not just technology
- →Be honest about current state—no penalty for low scores
- →Prioritize based on business impact and feasibility
- →Maturity improves incrementally, not overnight
- →Revisit assessment quarterly
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Score your organization across 6 dimensions
- 2.Identify top 3 gaps blocking AI adoption
- 3.Create 90-day improvement plan
- 4.Define target maturity level per dimension