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

Customer support triage

Classify requests, retrieve trusted answers, and route exceptions.

ClassificationRetrievalRoutingEvaluation

Data prerequisites

  • Ticket text, attachments, and channel metadata.
  • Current help-center articles, policy documents, and product release notes.
  • Historical routing decisions, resolution labels, and escalation outcomes.
  • A clean category taxonomy with examples of edge cases.

Human review points

  • Low-confidence category assignments.
  • Refund, legal, security, or safety-sensitive cases.
  • Responses based on newly changed policies.
  • Customers showing anger, churn risk, or repeated unresolved contact.

Where it can fail

  • The model hides ambiguity by forcing every request into a category.
  • Retrieval returns stale policy text or misses the right source.
  • Routing improves average speed while making rare cases worse.
  • Training labels reflect old team habits instead of current service rules.

Evaluation questions

  • Does first-touch routing accuracy improve by category?
  • Can reviewers trace suggested answers back to current source material?
  • How often does the system escalate when a human would escalate?
  • Which high-severity cases still need manual handling every time?
What would need to be true

Useful AI starts with workflow facts, not tool enthusiasm.

  1. A current knowledge base with owners for stale content.
  2. A documented escalation path and override process.
  3. Enough labeled historical tickets to test category quality.
  4. Clear permission boundaries for customer and account data.
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