Is Your Organization AI Ready?
Answer 32 questions about your organization's strategy, data, processes, and capabilities. Get a maturity score, identify gaps, and receive actionable recommendations.
AI Readiness Assessment
Not every organization is ready to adopt AI successfully. This assessment evaluates 7 key dimensions to help you understand your readiness and create a practical roadmap.
What you'll learn:
- Your AI maturity level (Exploring to Optimizing)
- Use Case Fit vs Capability Readiness analysis
- Quick wins (1-2 weeks) and foundational actions (2-8 weeks)
- Industry-specific AI use case recommendations
Takes about 5 minutes • 32 questions total
Tell Us About Your Organization
This helps us personalize your recommendations.
Question text here
Description text here.
Assessment Complete
We've analyzed your responses across 7 dimensions of AI readiness. Below is your personalized maturity profile and recommendations.
AI Maturity Score
Your organization is ready for low-risk AI pilots.
Quick Analysis
Capability Balance
Visualizing readiness across Strategy, Data, Process, Technology, Security, People, and Governance.
Use Case Fit vs Capability Readiness
This matrix shows where you stand and what to focus on next.
Your Position: Pilot Now
You have strong use cases and the capability to execute. Start with a focused pilot project.
Category Analysis
Quick Wins
Achievable in 1-2 weeks
Foundations
Plan for 2-8 weeks
Suggested Starter Use Cases
Based on your industry and goals, here are recommended starting points.
Your Custom AI Strategy Advisor
We've compiled your specific gaps into a structured prompt for deeper analysis.
Instructions:
- 1 Copy the prompt block.
- 2 Paste into ChatGPT, Claude, or Gemini.
- 3 Get a customized AI implementation plan.
What Makes an Organization AI-Ready?
Signs You're Ready
- Clear business problems AI could solve
- Clean, accessible data sources
- Executive sponsorship and budget
- Team willing to learn and adapt
- Documented processes to automate
Common Blockers
- Data scattered across silos
- No clear ownership or sponsorship
- Unrealistic expectations
- Compliance concerns not addressed
- Lack of AI governance policies
Understanding the Assessment Dimensions
Strategy & Goals (15%)
Clear business objectives, executive sponsorship, and realistic expectations for AI projects.
Data Readiness (20%)
Data quality, accessibility, structure, and ability to label or validate outcomes.
Process & Automation (15%)
Documented workflows, identified bottlenecks, and ability to run pilots without disruption.
Technology & Integration (15%)
Cloud maturity, API availability, observability, and CI/CD practices.
Security & Compliance (15%)
Data handling policies, vendor risk assessment, and human-in-the-loop requirements.
People & Skills (10%)
Internal AI champions, team fluency, and appetite for training.
Governance & Risk (10%)
AI acceptable use policies, approval workflows, and evaluation frameworks.
AI Maturity Levels
Level 1: Exploring (0-30)
Early stage awareness. Focus on building foundational capabilities before pursuing AI projects.
Level 2: Preparing (31-50)
Building foundations. Focus on data infrastructure, governance policies, and team skills.
Level 3: Piloting (51-70)
Ready for controlled experiments. Start with low-risk pilots to validate value and build experience.
Level 4: Scaling (71-85)
Expanding successful pilots. Focus on operationalizing AI solutions across the organization.
Level 5: Optimizing (86-100)
Mature AI capabilities. Focus on continuous improvement, advanced use cases, and competitive advantage.
Ready to Accelerate Your AI Journey?
Our team can help you develop an AI strategy, build data foundations, and implement solutions that deliver real business value. From quick wins to enterprise-scale deployments.
Discuss Your AI Strategy