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Assessment

Know which AI use cases are worth building before you build one

A structured assessment of business needs, data readiness, and process maturity that produces a ranked list of use cases and a sequenced adoption roadmap. It is deliberately the cheapest engagement we sell, because it is the one that stops expensive mistakes.

AI strategy & readiness

Readiness is a data problem wearing a strategy costume

Teams rarely fail at AI because they picked the wrong model. They fail because the supplier master has duplicates, the approval policy lives in three places, and nobody can say what "done" means for the process the agent is supposed to run.

  1. 01Step 01 · Business needs

    Start from the outcome, not the technology

    Interviews across the functions that would use it, mapped to the outcomes leadership is actually measured on — so the shortlist is scored on business value, not novelty.

    • Cross-functional interviews
    • Outcomes tied to real business metrics
  2. 02Step 02 · Use cases

    Identify and rank the candidates

    A concrete inventory of candidate use cases, each scored on value, data availability, process determinism, and risk exposure.

    • Scored candidate inventory
    • Value, data, determinism, and risk
  3. 03Step 03 · Readiness

    Test whether your data and process can carry an agent

    Master-data quality, process documentation, system-of-record clarity, and the state of your approval chains — the four things that decide whether an agent behaves or improvises.

    • Master-data and process-maturity check
    • Approval-chain and system-of-record review
  4. 04Step 04 · Roadmap

    A sequenced plan with a first build that will work

    A phased adoption roadmap: what to fix first, what to build first, what to defer, and what the governance model needs to look like before anything reaches production.

    • Fix-first, build-first, defer lists
    • Governance requirements defined up front

Also included

  • Platform-native AI module fit review
  • Existing pilot post-mortem
  • Board-ready readout
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Tell us where you are — mid-implementation, post-go-live, or planning ahead — and we'll scope the right starting point.