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Dispute & Chargeback Intelligence

When cardholders dispute charges, they submit free-form text: messy, emotional, and full of implicit context. A fine-tuned LFM2-350M reads the complaint and deterministically outputs structured JSON: intent, merchant, evidence type, and recommended action. On-prem deployment means zero PII ever leaves the secure perimeter.

Privacy-first — 350M model runs on-prem. No customer PII ever traverses the public internet, unlike cloud LLM triage
Scale — Process millions of daily disputes at <40ms each. Manual triage creates backlogs; cloud LLMs cost too much
Deterministic — Greedy decoding (temp=0) produces consistent, auditable triage decisions. Required for compliance

The Problem

Free-form dispute complaints: emotional, messy, implicit context. Manual triage creates million-case backlogs. Cloud LLMs could parse but at 800ms+ with PII exposure.

How LFM Compares

Manual triage creates backlogs. Rule-based routing misses nuance in emotional, unstructured complaints. LFM produces structured triage JSON in <40ms, on-prem, with deterministic output.

What LFM Unlocks

Complaint → structured triage JSON in <40ms. On-prem, zero PII leaves perimeter. Deterministic output (temp=0) for auditable decisions.

Dispute & Chargeback Intelligence

Convert unstructured customer complaints into structured triage data at scale

Dispute Triage Pipeline

Cardholders submit free-form complaints — messy, emotional, and full of implicit context. A fine-tuned LFM reads the text and outputs structured JSON for the resolution engine. No PII leaves the secure perimeter.

Select a dispute scenario:

This demo is fine-tuned on sample data. Results improve with your data.

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