Before a business spends money on AI, it helps to know whether the foundations are in place: the right systems, usable data, clear processes, sensible rules and people with time to own it. An AI readiness assessment checks those foundations and tells you where to start.
This guide explains what an AI readiness assessment covers, gives you a checklist you can score yourself, and explains what to do with the results.
What is an AI readiness assessment?
An AI readiness assessment is a short review of how prepared a business is to use AI well. It looks at five areas:
- Opportunities: where AI would save the most time or win the most business.
- Systems: whether your software can be connected to AI and automation.
- Data: whether the information AI would rely on is accurate, accessible and appropriate to use.
- People and process: whether processes are clear and someone can own the change.
- Risk and governance: whether you have the rules, security and oversight in place to use AI safely.
The output is usually a score or rating for each area and a prioritised list of next steps.
AI readiness checklist
Score each statement from 0 (not at all) to 2 (fully true). The total gives you a rough picture of where you stand.
Opportunities
- We know which tasks take the most time each week.
- We can name at least three repetitive tasks that follow clear rules.
- We know which delays cost us money or customers, such as slow replies to enquiries.
Systems
- Our main systems are cloud-based, such as Microsoft 365, Google Workspace, Xero or a modern CRM.
- Our systems can be connected, through built-in integrations or an API.
- We don't rely on spreadsheets as the only record of important information.
Data
- Our customer and client records are mostly complete and up to date.
- We know where our key documents and policies are stored.
- We know what personal data we hold and why, as UK GDPR requires.
People and process
- Our key processes are written down, or could be described consistently by the people who do them.
- There's a named person with time to own an AI or automation project.
- Staff are open to changing how they work if it saves them time.
Risk and governance
- We have an AI policy, or at least agreed rules, on what staff may use AI for and what data they may share.
- Staff use business accounts for AI tools rather than personal ones.
- We know which decisions must always be made or checked by a person.
What your score means
- 24 to 30: ready. Start with your highest-value process now.
- 14 to 23: nearly ready. Fix the one or two weakest areas alongside a small first project.
- 0 to 13: foundations first. Focus on systems, data and a basic AI policy before you build anything significant.
These bands are a rough guide, not a formal benchmark; the gaps you find matter more than the total.
Common gaps and how to fix them
"We don't know where our time goes"
Ask each person to log repetitive tasks for one week: what they did, how often and how long it took. Multiply frequency by time to find the biggest opportunities. Our guide to small business automation explains this in more detail.
"Staff are already using free AI tools"
This is common, and the risk is client or personal data being pasted into tools with consumer terms. Agree a short AI policy, give people a business account for an approved tool, and explain what must never be shared. Our Copilot vs ChatGPT guide compares the main options.
"Our data is a mess"
You don't need perfect data to start. Choose a first project that relies on a small, well-understood set of information, and tidy that data as part of the project.
"Nobody has time to own it"
Every AI or automation project needs an owner who checks exceptions and suggests improvements, even if it's only an hour a week. If nobody has that hour, start smaller or get outside help.
"Our systems don't talk to each other"
Connecting systems is often the first win in its own right. See our guide to CRM integration.
What an AI readiness assessment should give you
Whether you run it yourself or bring in a consultant, the result should include:
- a short list of the highest-value AI and automation opportunities, with estimated hours saved;
- the risks and safeguards for each;
- gaps to fix in systems, data or governance;
- a recommended first project, and a rough order for the rest.
If an assessment ends with a long report and no clear first step, it hasn't done its job.
Doing it yourself or with an AI consultant
The checklist above will get most small businesses a long way. An external assessment is useful when you need an independent view, when AI will touch regulated work or client data, or when you want the assessment to lead straight into building the first project. See our guide to AI consultants for small businesses.
How FDE Solutions runs an assessment
Our discovery is an AI readiness assessment with a practical end point. Over one to two weeks, we interview your team, map the work and identify where AI will pay back fastest. You receive a prioritised roadmap whether or not we build it.
Book a discovery call to talk about your business.
