Start a conversation ↗

Description

AI for Debt Collection: Prioritising Follow-Ups, Drafting Letters and Tracking Outstanding Balances

Managing a receivables portfolio too large to be chased account by account by hand

  • 0.43 days — 3 h
  • In-person or virtual
  • Foundation
  • Up to 6 participants

Collection officers chase invoices in due-date order rather than risk order. Easy files are handled before those that genuinely weigh on cash flow. Follow-up letters are drafted one by one and the payment promise obtained over the telephone is lost somewhere between two spreadsheets.

This short virtual format shows what artificial intelligence tools bring to debt collection and what they do not. In three hours, participants build a rule for prioritising follow-ups, produce letter templates adapted to the debtor profile and set up a payment-promise tracking routine.

Learning objectives

  • Rank a receivables portfolio according to risk and financial exposure
  • Use a conversational assistant to produce tailored follow-up letters
  • Prepare a collection call from the account history
  • Control the confidentiality of data submitted to an external tool
  • Set up tracking of the payment promises obtained

What makes this programme different

Each participant leaves with their own follow-up templates produced during the session
The prioritisation rule is applied to a real portfolio from the organisation
Data submitted to the tools is screened before any use

Programme

1Assisted Portfolio Prioritisation

Chasing what matters first

  • Risk criteria, ageing and financial exposure
  • Building a simple and explainable priority rule
  • Preparing the file and cleaning the data
  • Limits of automated processing on incomplete data

2Producing Follow-Up Letters

Writing quickly without writing the same thing

  • Drafting a precise instruction for a conversational assistant
  • Adapting tone to the debtor profile and the age of the overdue amount
  • A sequence running from first reminder to formal notice
  • Review and approval before sending

3Collection Calls and Follow-Through

Holding the debtor to the promise obtained

  • Preparing the call from the account summary
  • Handling objections and securing debtor commitment
  • Call report and updating the file
  • Alerts on broken promises

Who is it for

Collection officers, credit managers, accounts receivable accountants and finance and administration managers in smaller organisations.

Prerequisites

No prerequisites

Dates & locations

12 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.