— Free Assessment in 5 Minutes

How AI mature is your company?

Stop guessing where to invest in AI. Assess your maturity across five business dimensions to uncover hidden friction points, see where your capabilities stand, and walk away with a clear, prioritized action roadmap for your team.

Loading Interactive Asset...

Optimizing high-fidelity rendering

— Why Assess?

Establishing your AI baseline

Successful AI adoption begins with clarity, not guesswork. Because not every organization is ready for AI, this assessment identifies your current maturity level and highlights critical gaps before you invest. Know exactly where you stand so you can bridge those gaps and build a strategy based on facts, not hype.

52%

of AI projects fail to move past the pilot stage. 1

84%

cite lack of leadership as the primary reason that AI projects fail. 2

3.6 times
more likely for AI high performers to use AI for enterprise-wide transformative change. 3
  1. 1.Gartner, "Gartner Survey Finds Generative AI Is Now the Most Frequently Deployed AI Solution in Organizations"
  2. 2.RAND, "The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed"
  3. 3.McKinsey, "The state of AI in 2025: Agents, innovation, and transformation"
— Assessment Framework

Five dimensions of AI Maturity

Our assessment evaluates your organization across five critical dimensions that determine AI readiness and success.

Strategy

Check if your AI plan directly supports your business goals rather than just following trends. This ensures your roadmap provides a clear, practical direction for the company.

Organization

Look at whether your leadership and culture are truly ready to support a transition to AI. This determines if your teams have the buy-in and structure needed to sustain long-term change.

AI Governance

Review the rules and processes you use to scale AI safely across your business operations. This ensures you have a clear way to prioritize new projects while maintaining consistent standards.

Data

Assess if your data is organized and accessible enough to actually power AI tools. This identifies if your information is reliable enough to support the solutions you want to build.

Technology

Evaluate whether your current tools and systems are capable of delivering real business value. This identifies if your technical setup is a stable foundation for the AI you intend to use.