AI + Work Exposure Check — Recast Advisory

Question 1 of 20Opportunity & Readiness

Are there manual, repetitive workflows consuming significant staff time each week?No — very little of thatSome, in one or two placesYes, across several areasYes, extensively

Question 2 of 20Opportunity & Readiness

Do competitors or peers already use AI tools this organization does not?No — we're ahead or on parPossibly — we don't track itYes, in a few areasYes — we're clearly behind

Question 3 of 20Opportunity & Readiness

Would leadership sponsor an AI initiative in the next two quarters if given a clear plan?No — not a priorityPossibly, but no commitmentLikely — informally supportedYes — actively wants one

Question 4 of 20Opportunity & Readiness

Is there at least one internal champion who could own an AI initiative day to day?No oneSomeone informally, undocumentedYes, but already stretched thinYes — designated, with capacity

Question 5 of 20Risk & Governance

Does the organization use AI or automated tools in any employment decision?NoPlanned within 12 monthsYes, in one areaYes, in several areas

Question 6 of 20Risk & Governance

Does the organization have employees, applicants, or customers in a state with active AI regulation?NoNot sureYes — one stateYes — multiple states

Question 7 of 20Risk & Governance

Does the organization have a written AI governance or acceptable-use policy?NoneIn draft, or partialAdopted but not communicatedAdopted, communicated, in active use

Question 8 of 20Risk & Governance

Has anyone been designated to own AI governance and compliance monitoring?No oneInformally — unclear whoYes, but limited authority or timeYes — named, with clear authority

Question 9 of 20Workforce & Leadership Impact

Would AI adoption significantly change day-to-day roles for a meaningful share of staff?NoA small number of rolesYes — several teamsYes — most of the organization

Question 10 of 20Workforce & Leadership Impact

Is there workforce anxiety or resistance already surfacing around AI?None we've heardOccasional questionsYes — in some teamsYes — widely

Question 11 of 20Workforce & Leadership Impact

Has leadership discussed AI's workforce impact directly and openly with staff?Not at allInformally, in passingOnce, or inconsistentlyYes — openly and repeatedly

Question 12 of 20Workforce & Leadership Impact

Has leadership successfully led a significant change initiative in the past three years?NoAttempted — mixed resultsYes — one, partiallyYes — more than one, well

Question 13 of 20Workflow & Operating System Design

Do core workflows involve frequent handoffs across multiple people, tools, or systems?RarelySometimesOftenConstantly

Question 14 of 20Workflow & Operating System Design

Is institutional knowledge about how a process works concentrated in one or two people?No — well distributedSomewhatYes — for some processesYes — for most processes

Question 15 of 20Workflow & Operating System Design

Are core workflows documented well enough that a new hire could follow them unassisted?Not documentedInformal notes onlyDocumented but out of dateDocumented and maintained

Question 16 of 20Workflow & Operating System Design

Does the organization have a track record of successfully implementing new systems?No — they usually stallMixedMostly yesYes — consistently

Question 17 of 20Adoption & Value Realization

Is there a specific deadline or competitive pressure forcing near-term action on AI?NoSome general pressureYes — within the yearYes — within the quarter

Question 18 of 20Adoption & Value Realization

Has a prior AI or technology pilot stalled without a decision to relaunch or abandon it?NoOnce — minorYes — one significant oneYes — more than once

Question 19 of 20Adoption & Value Realization

Does the organization have a way to measure whether an AI initiative delivered value?No way to measureAnecdotal onlySome measures, inconsistentMeasured against a baseline

Question 20 of 20Adoption & Value Realization

Does leadership review adoption metrics on a regular cadence?NeverOccasionallyYes — but irregularlyYes — on a set cadence

Your result

Your biggest opportunity is —.

Exposure — Maturity — Gap —

All five Checkpoints, ranked by opportunity gap

Gap = (exposure + (5 − maturity)) ÷ 2, on a 0–5 scale. A higher gap means more unmet need. This is the same calculation we run in a paid engagement.

Regulatory urgency

Your Risk & Governance gap is 2.5 or higher. We treat that as urgent regardless of where it ranks — state AI law deadlines don't wait.

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The AI + Work Exposure Check.

Your biggest opportunity is —.