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An AI readiness checklist helps you determine if your business is ready to use AI safely, effectively, and cost-efficiently before investing in AI tools like Microsoft Copilot, automation platforms, or consultancy. For a professional and optimised AI readiness review see our AI readiness assessment service.
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INTRODUCTION
For most SMEs, the key question isn’t “Which AI solution should we buy?” but “Are our data, systems, people, processes, and governance ready for AI to deliver value?”
This guide, from We Do Your IT Support, is for SME owners and directors across Bristol, Bath, Cheltenham, Swindon, Gloucester, and the wider South West. It offers a practical self-assessment to complete before committing to AI adoption or a formal AI readiness assessment.
An AI readiness checklist is a structured set of questions to assess your organisation’s preparedness for AI. It fits within a broader AI readiness assessment framework covering strategy, data, infrastructure, people, governance, culture, risks, and opportunities.
This assessment identifies strengths, weaknesses, gaps, and risks before investing in AI tools or technologies. For SMEs, the checklist is often the first step, providing a clear starting point before spending on AI systems or consulting.
WHY IT MATTERS
Rushing into AI without preparation often leads to wasted budget, security risks, poor adoption, and failed projects.
of organisations haven’t started using AI, Gov.UK 2026
recognise a high urgency to act on AI, per Cisco 2024
aren’t sure if they have the correct data management practices for AI, a Gartner study states.
Many SMEs find their biggest gaps lie in data quality and governance rather than technology meaning strong data foundations, permissions, processes, and skills are crucial. An AI readiness index helps measure progress over time by scoring your capabilities across key areas and tracking improvements. This turns AI readiness into a practical plan with clear metrics and actions.
USING YOUR RESULTS
Treat your checklist results as a tool to spot strengths and gaps, not a pass/fail test. Prioritise urgent risks like security and compliance first, then data quality and governance.
Look for patterns, such as strong infrastructure but weak governance, or enthusiasm but unclear goals. Assign owners, set deadlines, and identify where external support is needed.
If your checklist reveals multiple gaps or uncertainty, consider a professional AI readiness assessment for expert analysis and a clear roadmap.
MATURITY MODEL
An AI maturity model helps you see where your business stands and what realistic next steps are. It prevents unfair comparisons with larger, more advanced organisations. Typical SME maturity levels range from Unprepared to Embedded, with data readiness as the top success factor
Unprepared
No clear AI strategy, fragmented data, limited skills.
Aware
Interest in AI but no defined use cases or governance.
Experimenting
Running early pilots; data quality being improved.
Operational
Selected tools in production with clear governance.
Embedded
AI is part of strategy, culture, and continuous improvement.
INTERACTIVE CHECKLIST
AI readiness requires assessing data readiness, AI infrastructure, staff skills, strategic alignment, and cultural fit. Focusing on only one area can give a false sense of readiness. Tick the questions where you can confidently answer “yes” and see where your organisation truly stands across every area that matters.
PRACTICAL AUDIT TOOL
The 5P framework helps organise your readiness assessment by focusing on Purpose, People, Process, Platform, and Performance. It simplifies the core areas without technical jargon, guiding you through key questions to evaluate readiness.
Are leaders, teams, and stakeholders engaged and ready?
Why are we adopting AI? Is the business outcome clear?
Are workflows mapped, improvable, and ready to support AI?
Is the underlying technology secure, integrated, and reliable?
How will we measure value, risk, and continuous improvement?
GOVERNANCE
AI governance sets rules and controls for AI use, covering data protection, ethics, compliance, accuracy, accountability, monitoring, and risk management. Compliance with regulations like GDPR and industry standards is critical.
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AI Governance
A practical AI policy should explain approved tools, data use rules, human review requirements, accountability, and incident reporting. Good governance builds trust, supports safe experimentation, and reduces risks. Use the questions on the right to assess your current AI governance footing — anywhere you can't tick "yes" is a candidate for action. |
YES / NO ASSESSMENT · 9 QUESTIONS
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Area score
Needs attention
0 / 9
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NEXT STEPS
AI adoption should be deliberate and planned, not rushed or reactive.
IF FEW LOW-RISK GAPS
Start with a small, well-defined pilot with clear metrics, training, and budget. Monitor results carefully.
IF WEAK FOUNDATIONS
If data quality, governance, security, or leadership alignment are weak, address these first before scaling AI.
IF MANY WEAK AREAS
Focus on clean data, secure systems, staff awareness, governance, and realistic use cases before deploying tools.
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AI Pilot Readiness
Are we ready for a pilot? Use these yes / no questions to decide your next move. If you struggle to confidently tick most of them, it's a strong signal to book a professional AI readiness assessment. |
YES / NO ASSESSMENT · 9 QUESTIONS
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Are we ready for a low-risk AI pilot?
Is the use case clear and valuable?
Are data and security controls adequate?
Have pilot staff been trained?
Are success metrics agreed?
Is budget allocated for testing and maintenance?
Do we have criteria to stop, pause, or expand?
Can we manage risks without external help?
If not, should we book a professional assessment?
Area score
Needs attention
0 / 9
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Ready to act on your findings? Read our guide to implementing AI in your business!
PROFESSIONAL SUPPORT
We Do Your IT Support offers professional AI readiness assessments for SMEs across Bristol, Bath, Cheltenham, Swindon, Gloucester, and the South West.
Our assessment builds on this checklist with detailed reviews of Microsoft 365, data, infrastructure, security, governance, processes, staff readiness, and AI opportunities. You receive expert analysis, tailored recommendations, a written report, and a prioritised action plan.
This is ideal if you’ve completed the checklist and want expert guidance or if you’re considering Microsoft Copilot, generative AI, automation, or wider AI adoption. We help you understand your readiness, reduce risks, and create a practical AI roadmap. We don’t push unnecessary tools, our goal is safe, informed AI adoption.
Get a free, assessment covering your Microsoft 365 setup, data security, staff readiness, and business processes with a plain-English report and a clear action plan to follow.
This practical guide covers Microsoft Copilot, automation, content tools, and what to watch out for before you adopt anything.
Get a free, no-obligation assessment that checks your Microsoft 365 environment and tells you exactly what needs fixing before you invest.