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15 questions.
Before you spend a dollar on AI.

The same self-assessment we run before we quote a build. Five sections — Data, Team, Stack, Compliance, Ops. If you answer no to more than four of these, you don't have an AI problem yet. You have a prerequisites problem.

15Questions
5Sections
10 minTeam review
01

Data

  1. Q01

    Do you have a single source of truth for the data your AI will touch — customer records, transactions, call logs, inventory — or does it live in 4 disconnected systems?

  2. Q02

    Is that data clean enough that a new hire could read it without asking three clarifying questions?

  3. Q03

    Do you have written permission (or the legal basis) to use customer data for automated decisions, retrieval, or training?

02

Team

  1. Q01

    Is there one person on the team whose job description will change after this AI ships, and do they know it?

  2. Q02

    Does your operator actually want AI in this workflow, or did someone upstairs decide for them?

  3. Q03

    Who owns the AI after launch — monitoring, retraining, cost control, escalation paths?

03

Stack

  1. Q01

    Can your current systems send and receive webhooks, or expose an API, without a 3-month integration project?

  2. Q02

    Is your CRM / ops system the bottleneck you're trying to replace, or the thing the AI will plug into?

  3. Q03

    Do you already know which model family — Claude, OpenAI, open-source — has to be avoided for compliance, cost, or vendor lock-in reasons?

04

Compliance

  1. Q01

    Is the data the AI will touch subject to HIPAA, SOC 2, GDPR, PCI, or state privacy laws, and do you have a sign-off path for those obligations?

  2. Q02

    Do you have an audit trail requirement — every decision logged, reproducible, and reviewable — or is best-effort enough?

  3. Q03

    If the AI made a mistake that cost a customer money, could you explain the decision in writing within 48 hours?

05

Ops

  1. Q01

    What exact metric improves when this AI works — calls recovered, hours freed, revenue per lead — and who reviews it weekly?

  2. Q02

    What's your rollback plan if the AI starts producing bad output at 2am on a Saturday?

  3. Q03

    Are you willing to let the AI take full action on low-risk work in month one, or does every action need human approval until trust is built?

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