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Readiness Evaluation

AI Adoption Readiness

Pick topics, answer a few statements, and get a readiness score with a matching package.

8 topics24 statements~7 min full · ~3 min quick

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Start from a preset or tap tiles to build your own set. The questions below update instantly.

We have a written policy on which AI tools employees may use and with what data.

We know which AI tools employees are already using without formal approval.

There is a clear approval path for a team that wants to adopt a new AI tool.

Scores come from your self-reported answers and map to packages in the public catalog under /initiatives/. This is a conversation starter, not a certified assessment. Needs assessment and proposal stay free before you commit.

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Readiness Evaluation

Topics and statements (full text)

Complete list of the eight topics and their three statements. The Quick preset uses governance, clarity, and leadership. After at least one topic is complete, the tool recommends packages from the catalog and links to book an AI Adoption intro call.

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  1. Strategic Clarity and PrioritizationIn Quick check

    Recommended package: Entry Diagnostic · AA-01 or CM-01

    1. Our leadership team agrees on the top 1 to 3 business problems AI should solve this year.
    2. We have a written, prioritized roadmap of AI use cases ranked by impact against effort.
    3. We know how we will measure whether an AI initiative succeeded before we start it.

  2. Process Readiness for AI

    Recommended package: Foundation · AA-02 + AA-03 + CM-02

    1. The processes we want to automate are documented and followed consistently today.
    2. We have identified where manual handoffs or inconsistent steps would break an AI tool.
    3. We could explain our core workflows to a new hire without relying on tribal knowledge.

  3. Governance and Shadow AI RiskIn Quick check

    Recommended package: Shadow-AI Risk · AA-03 + AA-09

    1. We have a written policy on which AI tools employees may use and with what data.
    2. We know which AI tools employees are already using without formal approval.
    3. There is a clear approval path for a team that wants to adopt a new AI tool.

  4. Adoption and Change Management

    Recommended package: Adoption · AA-04 + AA-05

    1. Past pilots or new tools we rolled out are still actively used months later.
    2. Employees have had real training and time to adapt workflows around new AI tools.
    3. We track measurable value in time, cost, or revenue from AI tools already in use.

  5. Data and Tool Maturity

    Recommended package: Data & Tool · AA-07 + AA-06

    1. Our core data is clean, accessible, and organized enough to feed an AI tool reliably.
    2. We choose AI vendors using a structured comparison rather than demos or sales pitches.
    3. We know which systems need to integrate for an AI tool to work end to end.

  6. Leadership Capacity and CadenceIn Quick check

    Recommended package: Leadership & Scale · CM-04 + CM-05 + AA-08

    1. Decisions about AI investment do not all funnel through one founder or executive.
    2. Cross department coordination on shared initiatives happens on a regular cadence.
    3. We have a recurring leadership rhythm for reviewing AI governance and priorities.

  7. Culture and Feedback Quality

    Recommended package: Climate & Feedback · CM-08 + CM-09

    1. Employees feel safe raising concerns or flagging failures with new tools, without blame.
    2. Managers give structured, regular feedback on how new tools or processes are working.
    3. Teams talk openly about what is working and what is not when adopting new ways of working.

  8. Onboarding Scale

    Recommended package: Growth & Onboarding · CM-03

    1. New hires get up to speed on our tools without pulling senior staff off their work.
    2. Role-based onboarding covers the systems and decisions a new hire needs in the first 90 days.
    3. Experienced staff regain capacity because onboarding no longer depends on ad hoc shadowing.