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

Claims intake

Read a packet, structure the facts, and route the next review step.

Document extractionClassificationRoutingEvaluation

Data prerequisites

  • Claim forms, emails, photos, notes, policies, and prior case outcomes.
  • Required intake fields and evidence completeness rules.
  • Severity, fraud, eligibility, and escalation categories.
  • Human-reviewed examples of complete, incomplete, and disputed claims.

Human review points

  • Coverage, eligibility, fraud, safety, or regulatory-sensitive judgments.
  • Missing required evidence or contradictory packet details.
  • High-dollar claims and claims outside normal routing rules.
  • Any decision that changes customer rights, payments, or obligations.

Where it can fail

  • Extraction misses context spread across multiple documents.
  • A routing label is treated as an outcome decision.
  • The system over-trusts incomplete or inconsistent evidence.
  • Reviewers cannot see why a claim was flagged.

Evaluation questions

  • Does intake completeness improve without slowing urgent cases?
  • How often are high-risk claims sent to the right queue?
  • Can reviewers see the extracted field, source location, and confidence?
  • Which categories are too sensitive for automated routing?
What would need to be true

Useful AI starts with workflow facts, not tool enthusiasm.

  1. Clear split between intake support and claim decisions.
  2. Source-visible extraction for every important field.
  3. Exception queues with service-level expectations.
  4. Quality checks on rare but severe claim types.
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