RED BOOT LLCAI Governance Advisory

    Readiness Scorecard

    Is your organization ready for the AI it's already using?

    Sixteen questions across the four dimensions that decide whether AI risk is governed or discovered mid-incident. Answer for how things actually run, not how the policy reads.

    About 6 minutes16 questionsAligned to NIST AI RMF

    First, your context

    Your report adapts its examples to these answers.

    Sector
    Do you serve customers or process data in the EU?
    Your progress0 of 16

    Ownership Clarity

    1 of 4 · GOVERN

    Is accountability for each AI use case explicit, named, and understood before deployment?

    A named person or role (not just "IT") is accountable for each new AI tool's outcomes.

    If an AI decision caused harm tomorrow, you could name who is responsible within the hour.

    Pilot teams know, in writing, whether they have authority to move to full deployment.

    A standing person or group has AI governance as part of their actual job.

    Risk Visibility

    2 of 4 · MAP

    Can you see which AI use cases carry meaningful exposure, assessed consistently rather than by instinct?

    You could produce a reasonably complete list of every active AI use case right now.

    You know the regulatory and reputational exposure of your highest-stakes use case.

    There is a consistent method for deciding one use case needs more scrutiny than another.

    Risk is assessed before deployment, not discovered after.

    Escalation Capability

    3 of 4 · MANAGE

    Is there a fast, tested path from "something looks wrong" to the right person acting on it?

    If an AI system misbehaved today, the people who noticed would know exactly who to tell.

    There is a defined expectation for how fast a flagged issue gets reviewed.

    Someone holds clear authority to pause a use case without a multi-week approval.

    The escalation path has actually been exercised, real or simulated, not just drawn on a slide.

    Monitoring Maturity

    4 of 4 · MEASURE

    Are use cases actively watched after launch, using outcome metrics, on a rhythm you actually keep?

    Once a use case is live, someone actively watches its performance. "Deployed" doesn't mean "done."

    The metrics you track are tied to real outcomes, not activity.

    There is a scheduled review cadence, not just reactive review after something surfaces.

    If oversight quietly lapsed for months, someone would notice.

    Get your readiness report

    Answer all 16 questions to unlock your report. 16 to go.