AI use case mapperDeterministic v1

Map a workflow to the AI patterns inside it.

Pick a common workflow and see the likely AI implementation patterns, data prerequisites, human-review points, failure modes, and evaluation questions. This is educational, not a recommendation to automate the workflow.

Mapped workflow

Vendor demo review

Summarize claims, separate evidence from projection, and form questions.

SummarizationRetrievalEvaluationCopilot

Data prerequisites

  • Demo notes, transcripts, slides, pricing pages, security docs, and contracts.
  • A checklist of claims to verify: capability, integration, data, risk, and cost.
  • Comparable internal requirements or current workflow constraints.
  • Source links for any claim the summary repeats.

Human review points

  • Claims about ROI, automation rate, model accuracy, or compliance readiness.
  • Integration statements that depend on undocumented internal systems.
  • Security, data-retention, and permissioning assertions.
  • Anything likely to become a buying decision or executive recommendation.

Where it can fail

  • The summary makes the vendor sound more proven than the evidence supports.
  • Important caveats vanish because they were mentioned briefly.
  • Marketing terms are translated into false technical certainty.
  • The output becomes procurement advice instead of literacy support.

Evaluation questions

  • Can each important claim be traced to a source or marked as unsupported?
  • Does the output name the questions a buyer should still ask?
  • Are implementation dependencies separated from product features?
  • Would a skeptical reviewer catch missing evidence before a decision meeting?
What would need to be true

Useful AI starts with workflow facts, not tool enthusiasm.

  1. A stable evidence checklist for vendor claims.
  2. Explicit labels for shown, claimed, measured, and unverified.
  3. A source-link requirement for repeated factual claims.
  4. A boundary that avoids vendor ranking or recommendation language.
Guardrails

This mapper teaches pattern recognition.

  • No ROI claim

    It does not estimate savings, readiness, or business value.

  • No vendor ranking

    It explains implementation shapes, not which product to buy.

  • No automation order

    Human approval points stay visible instead of being smoothed away.

  • Pro-ready foundation

    A future version can save worksheets or add AI-assisted workflow intake.

Pro direction

Later: turn this into a saved worksheet.

The public version uses curated examples. A future Pro version could let a reader describe their own workflow, save the map, refine the evidence checklist, and turn it into a pilot-scoping worksheet with explicit guardrails.

AI Use Case Mapper - The AI/4C Brief