Government AI maturity rating tool

The Government AI Maturity Assessment Tool is like a health checkup for your organization's AI readiness. Just like a doctor checks your blood pressure, weight, and other vital signs, this tool checks 13 important areas that determine if your government agency is ready to use AI successfully.

  • 1. Know Where You Stand

    Right now, you might think you're ready for AI, but are you really? This tool gives you a clear picture. It's like looking in a mirror - you see both your strengths and what needs work.

    2. Save Money and Avoid Disasters

    Many governments have wasted millions on AI projects that failed. Why? They weren't ready. They bought fancy technology but had bad data. Or they had good ideas but no skilled people. This tool helps you avoid expensive mistakes.

    3. Get a Roadmap for Success

    The tool doesn't just tell you what's wrong - it shows you how to fix it. For each low score, you get specific examples of how other governments improved. It's like having a GPS for your AI journey.

    4. Build Support from Leaders

    When you show your assessment results to bosses or elected officials, they understand exactly what you need. Numbers and clear categories make it easier to get budget and support.

    5. Compare Yourself to Others

    The tool is based on what successful governments around the world are doing. You can see if you're ahead, behind, or right on track compared to others.

  • Your Overall AI Maturity Score

    You'll get a number between 1.0 and 5.0 that shows your overall readiness:

    • 1.0-1.5: You're just starting to think about AI

    • 1.5-2.5: You know AI is important and are trying some things

    • 2.5-3.5: You have good plans and are making progress

    • 3.5-4.5: You're doing well and seeing real benefits

    • 4.5-5.0: You're a leader that others can learn from

    Scores for Six Key Areas

    1. Governance & Strategy (25% of total)

      • Do you have a plan?

      • Do leaders support AI?

      • Do your rules make sense?

    2. Technical Infrastructure (20% of total)

      • Do you have the right computers?

      • Can you manage AI projects?

    3. Human Capital (15% of total)

      • Do your people have AI skills?

      • Are you training them?

    4. Data Management (20% of total)

      • Is your data good quality?

      • Can people access it?

    5. Risk Management (10% of total)

      • Do you check for problems?

      • Are you being ethical?

    6. Stakeholder Engagement (10% of total)

      • Do you talk to citizens?

      • Are you transparent?

    Specific Recommendations

    For every area where you score 1 or 2, the tool provides:

    • Why it matters - Real examples of what goes wrong without it

    • How to improve - Step-by-step guidance based on successful governments

    • Quick wins - Things you can do right away to start improving

    Visual Dashboard

    You'll see:

    • Bar charts showing your scores

    • Color coding (red = needs work, yellow = okay, green = good)

    • Progress bars showing how far you've come

    • Comparison to best practices

    • Chief Information Officers planning AI strategies

    • Department Heads considering AI projects

    • Budget Officers allocating resources

    • Project Managers implementing AI systems

    • Policy Makers creating AI governance

    • Anyone responsible for government AI success

    1. Share Results: Show your team and leaders where you stand

    2. Pick Priorities: Focus on your lowest scores first

    3. Make a Plan: Use the recommendations to improve

    4. Track Progress: Retake the assessment every 6-12 months

    5. Celebrate Wins: Show how scores improve over time

Where our research comes from

International Groups We Studied

  • OECD (a group of 38 countries working together): They showed us how to organize our questions into five main areas

  • World Bank: They taught us how governments move from just thinking about AI to actually using it

  • UNESCO (United Nations group): They helped us understand what skills and resources governments need

  • Oxford Insights: They study 188 countries and showed us what questions matter most

Real Government Examples We Studied

  • United States GSA: They showed us seven technical areas governments need to think about

  • Singapore: Their step-by-step approach helped us understand how to progress

  • Australia: Their focus on ethics shaped our questions about doing AI responsibly

  • United Kingdom: Their scoring system helped us figure out how to grade answers

How we created these questions.

We followed these steps:

  1. Read Everything: We studied over 50 government AI plans to find common themes

  2. Found Patterns: We looked for what successful governments did that others didn't

  3. Learned from Mistakes: We studied failed projects (like chatbots that didn't work) to avoid problems

  4. Asked Experts: We talked to people running AI programs to make sure our questions made sense

  5. Tested It Out: We had real government teams try the questions before finalizing them

What the maturity levels mean.

We use five levels, from beginner to expert:

  • Level 1 - Just Starting: You're doing things randomly with no real plan

  • Level 2 - Getting Aware: You know AI exists and are trying some basic things

  • Level 3 - Getting Organized: You have plans and processes that work

  • Level 4 - Really Good: You measure everything and keep improving

  • Level 5 - Top Level: You're constantly innovating and others learn from you

Why Some Questions Matter More (Weights)

Not all questions are equally important. Here's how much each area counts:

  • Leadership & Planning: 25% (This matters most!)

  • Technology Setup: 20%

  • Data Management: 20%

  • People & Skills: 15%

  • Risk Management: 10%

  • Working with Citizens: 10%

We figured this out by looking at what made governments succeed or fail with AI.