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

Invoice processing

Extract fields, flag exceptions, and prepare work for approval.

Document extractionClassificationRoutingHuman review

Data prerequisites

  • Invoices, purchase orders, receipts, vendor records, and payment terms.
  • Examples of approved, rejected, duplicate, and disputed invoices.
  • Required fields, matching rules, tolerances, and approval thresholds.
  • A record of exception reasons and final human decisions.

Human review points

  • New vendors, changed bank details, or mismatched payment instructions.
  • Low-confidence field extraction on totals, dates, tax, or vendor identity.
  • Duplicate-looking invoices and threshold-sensitive approvals.
  • Anything that affects cash movement or audit evidence.

Where it can fail

  • Layouts change and silently break field extraction.
  • A plausible-looking total is wrong because line-item logic was missed.
  • The system treats a policy exception as routine processing.
  • A weak exception queue creates more accounting work than it removes.

Evaluation questions

  • Which fields must be right every time before automation is useful?
  • What percentage of invoices can move through without re-keying?
  • Are exceptions caught before payment, not after reconciliation?
  • Can auditors see the source document and the decision trail?
What would need to be true

Useful AI starts with workflow facts, not tool enthusiasm.

  1. Defined extraction schema and acceptance thresholds.
  2. A reliable vendor master and matching rules.
  3. Human approval for payment-impacting exceptions.
  4. Regression tests for common vendor layout changes.
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