Comply · AI Governance

    How do we approve a new AI tool in days, not quarters?

    A request that takes a quarter to answer gets answered by shadow use instead. We build an approval path fast enough that people actually use it, without skipping the checks that matter.

    Last reviewed:

    Sound familiar?

    • The current path for approving a new tool routes through three committees and nobody owns the final decision.
    • Security review, legal review and procurement run sequentially instead of in parallel, multiplying the wait.
    • Every request gets the same heavyweight review regardless of whether the tool touches sensitive data or not.
    • There's no default answer for common tool categories, so the same questions get re-litigated every time.

    What we do

    Tiered review

    A fast lane for low-risk tools and a thorough lane for tools touching sensitive data — so most requests move quickly.

    Single accountable decision point

    One named role that makes the final call, informed by security and legal input running in parallel, not in sequence.

    Pre-approved categories

    A shortlist of already-vetted tool categories so common requests get an instant answer instead of a fresh review each time.

    Request intake

    A simple intake form and tracked queue so requesters know where their request stands, instead of chasing people over email.

    Questions we get

    What counts as 'days, not quarters'?

    Low-risk requests against a pre-approved category can be answered same day. Higher-risk requests needing real security and legal review typically take one to two weeks, not months.

    Doesn't a fast process mean skipping real due diligence?

    No — it means running checks in parallel instead of sequentially, and matching the depth of review to the actual risk instead of applying the same process to every request.

    Who should own the final decision?

    One named person or small group with authority to say yes or no, not a rotating committee. Committees are where decisions go to stall.

    Tell us what's running in production.

    We'll tell you what we'd check first — and what we wouldn't bother with.

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