Interactive AI implementation scorecard with real-time scoring
AI Implementation Maturity Assessment
Evaluate your team's AI adoption across three critical dimensions: Standards-First approach,
Experience-focused metrics, and AI Fluency building. This assessment takes 5-10 minutes
and provides personalized action plans.
Your Progress
Scores update in real-time as you complete each section
0.0
Overall Maturity Score
0.0
Standards-First (40% weight)
0.0
Experience Metrics (35% weight)
0.0
AI Fluency (25% weight)
Assessment Progress
Standards-First Approach (40% Weight)
AI Governance & Policy
10% Weight
Level 1: Initial
No formal AI usage guidelines
Level 2: Developing
Basic usage rules and restrictions
Level 3: Defined
Documented AI governance policy with approval processes
Level 4: Managed
Comprehensive policy with monitoring and compliance tracking
Level 5: Optimized
Industry-leading governance with continuous policy evolution
Code Review Standards
15% Weight
Level 1: Initial
No special review process for AI-generated code
Level 2: Developing
Informal review with awareness of AI usage
Level 3: Defined
Structured review checklist for AI-generated code
Level 4: Managed
Risk-based review tiers with automated quality gates
Level 5: Optimized
AI-enhanced review process with continuous quality monitoring
Security Framework
15% Weight
Level 1: Initial
No AI-specific security considerations
Level 2: Developing
Basic awareness of AI security risks
Level 3: Defined
Security scanning integrated for AI-generated code
Level 4: Managed
Comprehensive security framework with risk classification
Level 5: Optimized
Advanced threat detection and automated security remediation
Experience-Focused Metrics (35% Weight)
Developer Satisfaction
10% Weight
Level 1: Initial
No measurement of AI impact on developer experience
Level 2: Developing
Informal feedback on AI tool usage
Level 3: Defined
Regular surveys measuring AI workflow satisfaction
Level 4: Managed
Comprehensive DX metrics with action response framework
Level 5: Optimized
Predictive analytics and proactive experience optimization
Productivity Measurement
15% Weight
Level 1: Initial
No measurement of AI productivity impact
Level 2: Developing
Basic time tracking for AI-assisted tasks
Level 3: Defined
Structured metrics on development velocity and quality
Level 4: Managed
Comprehensive ROI analysis with business value correlation
Level 5: Optimized
Advanced analytics with predictive productivity insights
Learning & Growth Tracking
10% Weight
Level 1: Initial
No tracking of skill development with AI tools
Level 2: Developing
Informal observation of team AI competency growth
Level 3: Defined
Structured assessment of AI fluency and dependency balance
Level 4: Managed
Comprehensive learning paths with progression tracking
Level 5: Optimized
Personalized AI skill development with career integration
AI Fluency Building (25% Weight)
Team Training & Education
10% Weight
Level 1: Initial
No formal AI training program
Level 2: Developing
Basic AI tool tutorials and onboarding
Level 3: Defined
Structured training curriculum with skill assessments
Level 4: Managed
Comprehensive education program with certification
Level 5: Optimized
Continuous learning ecosystem with peer teaching
Knowledge Management
8% Weight
Level 1: Initial
No organized capture of AI learnings
Level 2: Developing
Ad-hoc sharing of AI tips and tricks
Level 3: Defined
Structured documentation of AI best practices
Level 4: Managed
Searchable knowledge base with automated insights
Level 5: Optimized
AI-powered knowledge discovery and recommendation
Innovation & Experimentation
7% Weight
Level 1: Initial
Conservative AI usage limited to basic tasks
Level 2: Developing
Some experimentation with advanced AI capabilities
Level 3: Defined
Structured innovation program exploring AI applications
Level 4: Managed
Regular hackathons and innovation cycles with AI focus
Level 5: Optimized
Leading-edge AI research and development capabilities