Skip to main content

The problem

Your collections team has to call hundreds of debtors every month. Often they don’t answer, calls are repetitive, and finding out about a payment commitment can take hours or days. It’s hard to scale without hiring more people.

The solution

With ContactShip you can launch mass collection campaigns where your AI agent negotiates with each debtor in a personalized way, and notifies you instantly when someone commits to pay. The agent:
  • Calls the debtor by name
  • Informs them of the amount and concept of their debt
  • Negotiates a payment commitment with a specific date
  • Records everything discussed
  • Sends you an email if they secure a commitment

How to set it up step by step

1

Create a collections agent

Go to Agents and create an agent with clear instructions. For example: “You are a professional and respectful collections agent. Your goal is to inform the debtor about their outstanding debt and secure a payment commitment with a concrete date. Be firm but empathetic.”
2

Configure call tags

Create Call Tags like:
  • Payment commitment: “Use this tag when the debtor commits to a specific date to pay.”
  • Refuses payment: “Use this tag when the debtor denies the debt or refuses to pay.”
  • Asks for more time: “Use this tag when the debtor asks for an extension without committing to a date.”
Enable email notifications on the tags that matter to you to find out instantly.
3

Set up your campaign

Go to Campaigns and create a new campaign. Load your contacts with debt data (amount, concept, due date) as additional fields so the agent can use them in the conversation.
4

Launch and monitor

Calls run simultaneously. Every time a debtor commits, you’ll receive an email with the tag, reason, and a direct link to the call.

Result

  • Hundreds of collection calls launched in minutes
  • Each conversation personalized with debt data
  • Instant notifications when there’s a payment commitment
  • Filter calls by tag to quickly see who committed
  • Your team focuses only on cases that require human intervention

Features used