Autohive - Chargeback Evidence Builder
Chargeback Evidence Builder preview
Chargeback Evidence Builder preview
Chargeback Evidence Builder preview

Prepare stronger, better-organized chargeback responses without inventing evidence.

Chargeback Evidence Builder guides ecommerce teams through the facts that matter: dispute reason, deadline, order timeline, fulfillment, delivery, customer communication, policies, and available records.

What it produces:

  • Case summary
  • Strongest verified facts
  • Chronology
  • Evidence checklist grouped by available, missing, and optional items
  • Concise merchant response draft
  • Gaps and risks
  • Immediate next actions before the deadline

Safeguards:

  • Refuses to fabricate, alter, backdate, or overstate evidence
  • Separates verified facts from assumptions and missing records
  • Prompts users to redact sensitive payment and identity details
  • Does not promise an outcome or present itself as legal advice

Best for ecommerce merchants handling product-not-received, unauthorized transaction, cancellation, refund, or service disputes. Final outcomes remain with the payment platform and card network.

Frequently Asked Questions

What chargeback cases can this agent help organize?

It can structure evidence plans for common ecommerce disputes such as product not received, unauthorized or fraudulent transaction claims, cancellation, refund, and service disputes. The strength of any response depends on the records you actually have and the payment platform's rules.

Will it create missing evidence or guarantee a win?

No. It is designed to refuse fabricated or overstated evidence, flag gaps, and separate verified facts from assumptions. It does not provide legal advice or guarantee an outcome.

What should I provide?

Share the dispute reason or code, deadline, transaction and order dates, fulfillment and tracking facts, available customer communications, applicable policies, and the evidence you already have. Redact full payment details, passwords, authentication codes, IDs, and unnecessary personal data.

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