Is Your Business Ready for AI? The 12-Point AI Readiness Checklist
A 12-point AI readiness checklist covering data, process documentation, people, and governance — with a 0-12 scoring rubric that tells you exactly what to…
What Does "AI-Ready" Actually Mean?
Is Your Data Ready for AI? (Points 1–3)
Are Your Processes Documented Enough to Automate? (Points 4–6)
Is Your Team Ready for AI? (Points 7–9)
Do You Have Governance Guardrails? (Points 10–12)
How Do You Score Your AI Readiness?
What Are the Most Common Readiness Failure Patterns?
The Bottom Line
Forget the enterprise definition — data lakes, ML teams, transformation committees. For a 5-to-100-person business, AI readiness means the conditions exist for a $3,000–$6,000 automation project to succeed and prove it succeeded. That's it. Each item below is worth 1 point if it's genuinely true today (not "mostly" or "we're planning to"). Be honest; the score only helps if it's real. Grab a pen — this takes ten minutes.
Customers in a CRM, financials in QuickBooks or Xero, jobs in a project or field-service tool. If your source of truth for "what did we quote the Hendersons?" is scrolling someone's email, every automation you build will be starved at the source. You don't need fancy systems — a consistently used spreadsheet scores the point. Inconsistently used anything doesn't.
Check whether your CRM, accounting tool, and scheduling system have APIs, Zapier/Make connectors, or at minimum clean CSV export. Modern cloud tools almost all do; the danger zone is the 2009-era desktop app or the niche industry system with no export path. One legacy system doesn't fail you — but integrating around it costs 2–3x more, so know before you budget.
Would you bet a paycheck that your CRM pipeline reflects reality and your books are current within two weeks? AI automation amplifies whatever it's fed — a lead-scoring workflow built on a CRM full of dead deals just scores garbage faster. If your team keeps "shadow spreadsheets" because they don't trust the official system, score this a zero and fix it first; it's usually a 2–4 week cleanup, not a rebuild.
Not a manual — a one-page numbered list per process: trigger, steps, decisions, exceptions, output. In my assessments, roughly 7 in 10 SMBs fail this point, and it's the single most expensive gap on the checklist because undocumented processes turn into billable discovery time. The fix costs 2–4 hours per process: have the person who does it narrate while someone types.
Not a committee, not "the office manager when she has time." One person with 2–4 budgeted hours per month to supervise workflows, triage exceptions, and report results. In my experience this single point swings failure rates more than any technology decision — automations without an owner decay silently until someone notices customers stopped getting confirmations.
Frequently Asked Questions
How do I know if my business is ready for AI?
Score yourself on 12 factors across four pillars: data (is it in systems with APIs, and do you trust it?), process (are your top workflows documented and measured?), people (is there an owner with budgeted hours?), and governance (policy, security, human oversight). A score of 8 or higher out of 12 means you're ready to build.
What is the minimum AI readiness score to start a project?
Around 8 out of 12, provided none of the zeros sit in the data pillar. Businesses scoring 4 to 7 should spend 30 to 60 days fixing their two weakest items first — usually process documentation and data hygiene — which typically costs under $2,000 and dramatically raises the odds of the first project paying back.
What is the most common AI readiness gap in small businesses?
Undocumented processes. In my assessments, roughly 7 in 10 SMBs have their most automatable workflow living entirely in one employee's head. The fix is cheap — 2 to 4 hours of writing steps down per process — but skipping it converts directly into consulting-rate discovery fees or a failed build.
How much should an SMB budget for its first year of AI?
Plan on $3,000 to $15,000 in year one: $2,000 to $6,000 to implement a first workflow, $100 to $400 per month to run a small portfolio, and 2 to 4 internal hours per month for supervision. Businesses that budget zero internal hours fail at roughly double the rate of those that assign an owner.
Do I need an AI policy before deploying anything?
Yes, and it takes about two hours with a template. Without one, employees are already pasting customer data into free chatbots — surveys consistently show a majority of workers use unapproved AI tools. A one-page policy naming approved tools, prohibited data, and a human-review rule closes most of that exposure immediately.
Can I be ready for AI without a full-time IT person?
Absolutely — most 5-to-25-person businesses I work with have no internal IT at all. What you need instead is one accountable process owner internally (2-4 hours per month), modern cloud systems with export or API access, and outside help for the build. A fractional CTO covers the strategy layer for a fraction of a hire.