What this means in practice

  • Collect new chargeback notices in one queue with the reason and deadline for each.
  • Have AI find the matching order, payment, delivery proof and customer messages.
  • Ask AI to draft an evidence summary that addresses the stated reason only.
  • A finance or support lead reviews each case and decides to accept or respond before the deadline.
  • Track outcomes by reason so you can fix the product, policy or checkout step behind repeat chargebacks.

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.