Free Resource • AI Readiness
Is your business ready for AI?
Most AI projects fail not because the technology doesn't work — but because the business wasn't ready for it. Work through this 10-point checklist to find out where you stand before you spend a penny.
Get your personalised AI readiness score
Submit your details to unlock the full checklist and receive a tailored summary of where your business stands — plus the top 3 things to address before investing in AI.
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We'll also send you a personalised summary based on your score. In the meantime, tick each item you can honestly say yes to.
01
Data Infrastructure
Your business data is clean, centralised, and accessible. AI is only as good as the data it runs on — fragmented spreadsheets and siloed systems will undermine any implementation before it starts.
02
Team AI Literacy
Your key staff understand what AI can and can't do at a practical level. You don't need a team of data scientists — but decision-makers need enough literacy to ask the right questions and spot when something's wrong.
03
Budget Allocation
You've set aside a realistic budget for AI tooling, implementation, and ongoing maintenance. AI isn't a one-off cost — building in budget for iteration and support is what separates successful projects from abandoned ones.
04
Use Case Identification
You've mapped your top 3–5 highest-ROI AI opportunities specific to your business. Generic AI strategy frameworks are nearly useless — what matters is knowing exactly which processes will move your P&L if you automate or augment them.
05
Executive Buy-In
Leadership understands that AI adoption is ongoing change, not a one-off project. Without executive sponsorship and patience for a learning curve, AI projects stall the moment they hit the first obstacle.
06
Process Documentation
Your core business processes are documented well enough for an outsider to understand. If a process only lives in someone's head, AI can't support it — and neither can a new hire when that person leaves.
07
Vendor Evaluation Framework
You have clear criteria for choosing off-the-shelf AI tools versus building custom solutions. The market is flooded with AI vendors making bold promises — without an evaluation framework, you'll waste money on tools that don't fit your workflows.
08
Compliance & Governance
You've reviewed how GDPR, data sovereignty, and AI risk regulations apply to your sector. This is the area most mid-market businesses underestimate — and the one regulators are watching most closely as AI adoption accelerates.
09
Change Management Plan
You have a plan to bring your people along with AI adoption — including those who are sceptical. The technology is often the easy part. Getting your team to trust and use it consistently is where most businesses fall down.
10
ROI Framework
You can measure the business impact of AI investment against your P&L — not just "efficiency gains" but real financial outcomes. Finance-led AI means every project has a number attached before it starts. No number, no project.
7 more items in the checklist
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Your AI Readiness Score
Tick each item above as you work through the checklist to see your score.
Know your gaps. Fix them fast.
Most businesses score 4–6 on this checklist. Our AI Readiness Assessment closes those gaps in two weeks — and tells you exactly where to put your AI budget first.