wits
    Use Cases · May 21, 2026 · Updated May 25, 2026 · 7 min read

    The AI readiness checklist for SMBs

    Twelve questions. A score band. A next step. Use this before you sign the first AI contract — or before you hire your first AI engineer.

    The AI readiness checklist for SMBs
    TL;DR
    • Twelve yes/no questions. Score one point per yes.
    • 0-3: AI-curious. Start by picking a single workflow.
    • 4-7: AI-experimenting. Pick a vertical product and ship.
    • 8-10: AI-enabled. Time to think about AI-native bets.
    • 11-12: AI-native. You probably do not need this checklist.
    Quick answer
    Is my business AI-ready?
    Answer twelve yes/no questions covering your data, people, decisions, and risk posture — one point per yes. A score of 0-3 means AI-curious: start by picking a single workflow. 4-7 means AI-experimenting: pick a vertical product and ship. 8-10 means AI-enabled and ready for bigger bets. 11-12 means AI-native and you probably do not need this checklist. Honest answers only — there is no value in scoring further along than you are.

    AI readiness is a phrase consultants love because it lets them sell a 60-page assessment for a number you can land on in fifteen minutes.

    Here are the 12 questions we ask when a prospective customer first walks into a Xwits call. Honest answers only. There is no value in a score that says you are further along than you are.

    The twelve questions

    Data and inputs

    1. Do you have a clean record of your last 12 months of customers, transactions, or jobs in a system you can export from?
      (Yes = at least 80% of the data lives in a database or SaaS tool, not in spreadsheets and WhatsApp groups.)
    2. Can you name your three most important customer-facing workflows and what good output looks like for each?
    3. Do you have written examples of the voice and tone you want AI-generated content to use?
      (Past blog posts, marketing emails, brand guidelines, anything specific.)

    People and process

    1. Is there a named owner inside the company for the AI initiative — not "the founder," not "we will figure it out"?
    2. Are at least two members of the team comfortable using ChatGPT, Claude, or similar tools weekly?
    3. Does the team agree on which workflow eats the most hours per week today?
      (If everyone names a different one, the priority is not set.)

    Decisions and budget

    1. Have you budgeted for AI tooling at 0.5-3% of revenue per year?
      (For most SMBs this is $200-$3,000 per month.)
    2. Can decisions on AI investments be made in under 2 weeks?
      (Or does it need a board, a committee, or three pilots?)
    3. Are you willing to accept a 70-80% AI output quality at launch, with the assumption it will improve?
      (The 100% expectation kills most AI projects in week two.)

    Risk and governance

    1. Do you understand which of your data is regulated or sensitive and where it can/cannot go?
      (GDPR, DPDPA, HIPAA, financial regulations — whichever apply.)
    2. Have you agreed on which categories of decisions a human must approve before they ship?
    3. Are you prepared to measure one outcome number for at least 6 weeks before judging the AI?
      (Not "the dashboard." One number that matters to the business.)

    Read the score

    0-3 yes answers — AI-curious

    You are at the start. The right move is to spend two weeks picking one workflow and one tool. Avoid strategy decks. Avoid "AI transformation" engagements. Pick a small thing, measure, learn.

    Recommended next step: read our AI-enabled guide and our 12 use cases post. Pick one to try.

    4-7 yes answers — AI-experimenting

    You have some pieces in place. The right move is to commit to a vertical product or a single custom build and run it for a quarter. Stop sampling tools.

    Recommended next step: if your industry is covered, look at XWorks Suite. If not, talk to us about a small custom build.

    8-10 yes answers — AI-enabled

    You are running AI in production for at least one workflow and seeing results. The right move now is to either deepen what you have (more workflows) or start thinking about AI-native bets for your next product or major initiative.

    Recommended next step: read the AI-native vs AI-enabled post and decide whether the next investment is more breadth (more AI-enabled workflows) or more depth (one AI-native rebuild).

    11-12 yes answers — AI-native

    You have already done the work. You know what you are doing. You are reading this post for sport. The next step is partnership conversations — either as a vendor or a co-build partner.

    Recommended next step: say hello. We would like to meet you.

    Honest disclaimers

    The checklist is a starting point, not a final answer. Two operators with the same score can have wildly different next steps depending on industry, capital, and timing.

    It also undersells the importance of one thing: commitment. The single best predictor of AI success in an SMB is whether the founder or CEO personally cares about the outcome. Strategy without a sponsor goes nowhere — AI or otherwise.

    What this means for you

    • Take the 12 questions honestly. Most people overestimate by 2-3 points the first time. Take it again next week.
    • Match the score to one of the four bands above and do the recommended next step.
    • If you want a second pair of eyes, book a readiness call.

    Book a 30-minute readiness call. We will go through the checklist with you and recommend the next two moves. No deck. No SDR. Engineer on the call.

    Now over to you

    Talk to a real engineer.

    A 30-minute call. We will tell you honestly whether AI is the right fix and what it would take.