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Natural language dispute submission with AI pre-triage #20

Description

@xozai

Priority: Medium

Feature description:
The existing dispute module requires reps to fill a structured form. Enhance it with a freeform text input that uses an LLM to extract the disputed transaction, infer the likely discrepancy type, and pre-fill the structured fields — then route the case to the right approver automatically.

Proposed behavior:

  • Rep types: "I think my Q2 deal with Acme Corp was credited to the wrong territory."
  • AI extracts: transaction reference, dispute type (crediting), suggested adjustment.
  • Pre-populates the dispute form with extracted values; rep confirms before submitting.
  • AI also checks if a similar dispute was filed and resolved before, and surfaces the resolution as a self-serve suggestion.
  • Reduces average dispute submission time and improves routing accuracy.

Why it matters:
Poorly structured disputes create back-and-forth between reps and comp admins. AI pre-triage reduces resolution time and admin burden while making the experience feel modern.

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