AI readiness assessment: is your business ready for AI?
Most AI projects fail for reasons that were visible before anyone wrote a line of code. This 15-question self-assessment covers the five areas that decide whether AI works in your business, and tells you exactly what to fix first.
The 15-question self-assessment
Count one point for every statement that is true of your business today. Be honest: the score is for you, not for us.
Data
- Our key business information lives in systems, not in people's heads or personal spreadsheets.
- We could export a clean record of our customers, jobs, or orders this week if asked.
- Someone in the company knows where our data lives and who can access it.
Processes
- Our core workflows are consistent: two employees would handle the same task roughly the same way.
- We know which tasks eat the most hours each week.
- We have at least one process that is high-volume, repetitive, and rules-based.
People
- At least one leader owns the AI question and can make decisions about it.
- Our team has used at least basic AI tools and is not hostile to new systems.
- We have capacity to give a project a few hours a week during a build.
Systems
- Our main tools (CRM, scheduling, accounting, communications) have APIs or export options.
- We are not locked into a legacy system that nothing can integrate with.
- Someone can grant a partner secure access to the systems that matter.
Leadership
- We have a business goal AI should serve, beyond wanting to use AI.
- We have a realistic budget range in mind for a first project.
- We are willing to change a process if the data says it is broken.
Scoring your assessment
Ready to build.
12 to 15 yes answersYou have the foundations. Your risk now is picking the wrong first project, which is exactly what an audit prevents. Move straight to opportunity mapping.
Ready for an audit, not yet a build.
7 to 11 yes answersThis is most businesses. You have real opportunities plus a few gaps that would sink a project if ignored. A focused audit tells you which gaps matter and which do not.
Fix the foundations first.
0 to 6 yes answersStart small: centralize your data, document your top three workflows, and pick one owner for the AI question. Doing this for a quarter changes your answer entirely.
Frequently asked questions
What is an AI readiness assessment?
An AI readiness assessment measures whether your business can successfully adopt AI before you spend money building anything. It looks at five areas: your data, your processes, your people, your systems, and your leadership alignment.
How is this different from an AI audit?
Readiness asks whether you are prepared to adopt AI at all. An audit goes deeper: it maps your specific operations and ranks the AI opportunities by cost and return. Readiness is the screening; the audit is the diagnosis and the plan.
Do I need perfect data before using AI?
No. Almost nobody has perfect data, and waiting for it is a common stall. You need data that is good enough for one well-chosen first project. A good partner scopes around your data reality instead of demanding a two-year cleanup first.
How long does it take to become AI-ready?
If you scored in the middle band, often four to eight weeks of focused work on your specific gaps. The foundations band usually needs a quarter. Becoming ready is mostly about decisions and documentation, not technology.
Scored in the middle band? Read what an AI audit costs or see how we work.
Want the honest version of your score?
In a 30-minute call we will walk your answers with you and tell you whether an audit makes sense yet.