Are You Ready
for AI?
Comprehensive assessment tool to evaluate your organization's AI maturity, identify critical gaps, and get a personalized roadmap for successful AI implementation.
The $10M Question
"We spent $10M on our AI transformation and got... almost nothing. Our data was messy, our processes weren't ready, and we had no AI talent. We learned the hard way that technology isn't the constraint—readiness is."
Meet Sarah Chen, former Chief Digital Officer at a Fortune 100 manufacturing company who discovered that 85% of AI projects fail not because of technology, but because organizations weren't ready for AI.
"The biggest mistake was assuming we could just 'add AI' to our existing processes. We needed to transform our data infrastructure, retrain our teams, and completely rethink our decision-making. The technology was the easy part."
Sarah Chen • Former CDO • Fortune 100 Manufacturing
The Hidden Cost of AI Unreadiness
The truth? Most companies jump into AI without understanding if they're ready. This assessment changes that.
AI Readiness Assessment
Evaluate Your AI Maturity
Rate your organization across 6 critical dimensions
1 Data Infrastructure & Quality
2 Technical Capabilities
3 Organizational Culture
4 Leadership & Strategy
5 Process Maturity
6 Governance & Ethics
Your AI Readiness Score:
AI Maturity Framework
Understanding where you are today and where you need to be:
The 5 Stages of AI Maturity
Stage 1: Chaotic (0-10 points)
Reality: No AI strategy, poor data quality, resistant culture
Action: Focus on data cleanup and culture change before any AI initiatives
Stage 2: Reactive (11-15 points)
Reality: Ad-hoc AI experiments, siloed efforts, limited success
Action: Create AI strategy, establish data governance, build foundational capabilities
Stage 3: Developing (16-20 points)
Reality: Some successful pilots, growing AI team, basic infrastructure
Action: Scale successful pilots, invest in MLOps, develop governance frameworks
Stage 4: Scaling (21-25 points)
Reality: Multiple AI systems in production, dedicated team, clear ROI
Action: Optimize operations, expand use cases, build advanced capabilities
Stage 5: AI-Native (26-30 points)
Reality: AI embedded in strategy, autonomous systems, competitive advantage
Action: Innovate new AI applications, share learnings, lead industry transformation
Gap Analysis & Next Steps
Based on your score, here's what typically needs attention:
Critical Gaps by Maturity Level
📊 Scores 0-15: Foundation Building
🚀 Scores 16-30: Scaling Success
Your Personalized AI Roadmap
Get Your Custom AI Roadmap
Based on your assessment results, we'll create a detailed 90-day action plan with specific recommendations, vendor selections, and budget estimates.
Success Metrics to Track
📈 Key Performance Indicators
Foundation KPIs (Months 1-6)
- • Data quality score improvement
- • AI literacy training completion
- • Infrastructure readiness metrics
- • Governance framework adoption
Pilot KPIs (Months 7-12)
- • First AI model accuracy
- • Time to production
- • User adoption rates
- • Initial ROI measurement
Scale KPIs (Year 2+)
- • Number of AI models in production
- • Business impact metrics
- • AI project success rate
- • Time to market improvement
This assessment framework has helped 500+ organizations identify readiness gaps and accelerate AI success by an average of 60%.