Chargeback-evidence-packets-ai-drafts-autom-mate-submits

Autom Mate Platform
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Chargeback evidence packets: AI can draft, Autom Mate must submit

Chargebacks are an ops problem disguised as a “support” problem.

  • Evidence is scattered (payment processor dashboard, order system, support threads, shipping proof)
  • Deadlines are unforgiving (miss it = automatic loss)
  • The action is high-risk (submitting the wrong evidence, to the wrong case, after the wrong approval)

AI is great at summarizing and mapping evidence to a reason code, but AI alone is risky for financial actions:

  • It can hallucinate “facts” (e.g., delivery date, refund status)
  • It can attach the wrong customer’s documents (privacy + compliance incident)
  • It can miss processor-specific formatting rules
  • It can’t prove why it chose a specific evidence set unless you enforce logging and approvals

The pattern that works in finance ops is:

  • AI suggests (draft packet + rationale)
  • Autom Mate executes under control (deterministic steps, approvals, audit trail, retries, and exception handling) end workflow (governed chargeback representment)

1) Trigger

Pick one:

  • API trigger from your payment processor / dispute system webhook (new dispute opened, due date set)
  • Email triggercessor notifies via email (subject contains “Dispute opened” / “Chargeback”)
  • Scheduled trigger every hour to posputes (backup if webhooks are unreliable)

2) Validation (before any action)

In Autom Mate, add dto prevent “garbage in → irreversible action out”:

  • Required fields: case_id, network, reason_code, amount, due_at, transaction_id, order_id
  • Sanity checks:
    • due_at must be in the future
    • amount must match the processor case amount
    • order_id must exist in your order system
  • If validation fails: Stop + route to exception handling (see below)

3) Evidence collection (deterministic fetch)

Use **Autom Mate library actiootherwise use REST/HTTP/Webhook action.

  • Payment processor dispute details (AVS/CVV, auth, descriptors)
    • Integration: REST/HTTP/Webhook action (processor API)
  • Order/subscription system (invoice, timestamps, cancellation policy acceptance)
    • Integration: REST/HTTP/Webhook action
  • Support system (ticket transcript, refund promises, customer acknowledgements)
    • Integration: REST/HTTP/Webhook action
  • Shipping carrier proof (tracking + delivery scan/signature)
    • Integration: REST/HTTP/Webhook action

Store the collected artifacts (or links/hashes) in a single “case bundle” record so the workflow is repeatable.

4) AI suggestion step (bounded)

Have AI produce only:

  • A proposed evidence checklist mapped to the reason code
  • A short narrative draft
  • A confidence score + “missing evidence” list

Important: AI does not submit anything.

5) Approvals (human or policy-based)

Implement segregation-of-duties style controls:

  • If amount >= $X or reason_code in {fraud, not_received} → require human approval
  • If confidence < threshold → require human approval
  • If customer is VIP / regulated segment → require human approval

Approval outcome is written into the run log for auditability. Autom Mate supports access controls and audit logs to track changes and actions.

6) Deterministic execution (the only place actions happen)

Once approved, Autom Mate performs a ssequence:

  • Generate the final evidence packet (PDF merge / structured upload payload)
  • Submit representment to the processor portal/API
    • Integration: REST/HTTP/Webhook action
  • Update internal systems:
    • Mark case as “submitted”
    • Write submission timestamp, payload hash, and who approved
    • Integration: REST/HTTP/Webhook action

7) Logging / audit trail

Log everything needed to survive an audit or post-mortem:

  • Trigger payload
  • Validation results
  • Evidence sources + document hashes/links
  • AI draft + rationale
  • Approver identity + timestamp
  • Submission request/response (redacted)

Autom Mate provides execution logs, monitoring, and audit logs to support traceability.

8) Exception handling + rollback

Use Autom Mate’s error handling to keep the process safe and recoverable:

  • If pro9/5xx → retry with backoff
  • If upload fails after packet generation → keep the packet, mark “ready to resubmit”, alert ops
  • If submission succeeded but internal update failed → run a compensating step to reconcile state

Autom Mate supports error handling, retries, fallback actions, and notifications (e.g., email/Slack).

Two mini examples

Example A — “Deadline buffer” escalation

  • Trigger: dispute opened with due date in 7 days
  • Policy:
    • T-72h: notify finance ops
    • T-48h: require manager approval
    • T-24h: auto-escalate to on-call + create an urgent ticket
  • Execution: Autom Mate sends notifications and enforces the escalation path deterministically (no “someone forgot”).

Example B — “Duplicate dispute” guardrail

  • Trigger: webhook fires twice (common with retries)
  • Validation:
    • Check if case_id already has a “submitted” record
  • Outcome:
    • If yes: stop + log “duplicate trigger ignored”
    • If no: proceed

This prevents double-submission and inconsistent audit trails.

Discussion questions

  • What’s your current failure mode: missed deadlines, missing evidence, or wrong evidence attached?
  • Where do you want the approval boundary: by amount, reason code, confidence, or customer segment?