Role-Based Programme
RB1417

AI-Powered Credit & Collections

Smarter Credit Analysis, Receivables Monitoring & Collection Management

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Credit and Collections across credit review, receivables monitoring, payment follow-up, dispute handling, and reporting.
  • Apply AI-assisted techniques to analyse customer accounts, ageing reports, payment histories, overdue balances, and collection activity.
  • Use structured prompting for credit-review support, collection prioritisation, customer communication, dispute summaries, and management reporting.
  • Explore AI-supported approaches for identifying overdue-account patterns, collection bottlenecks, payment trends, and areas requiring further investigation.
  • Build responsible AI-assisted Credit & Collections workflows while maintaining financial confidentiality, fairness, data accuracy, controls, and human decision-making.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Receivables AnalysisCredit Review SupportAgeing & Collection AnalysisCustomer Communication AIReporting & Workflow Automation

Who should attend

  • Credit Analysts
  • Credit Controllers
  • Collections Executives
  • Accounts Receivable Professionals
  • Credit & Collections Analysts
  • Receivables Analysts
  • Finance Executives
  • Billing & Collections Professionals
  • Order-to-Cash Professionals
  • Finance Operations Professionals
  • Credit Managers
  • Collections Managers
  • Accounts Receivable Managers
  • Credit & Collections Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Finance, Accounts Receivable, credit, or collection processes
  • Familiarity with invoices, ageing reports, customer accounts, payments, or collection follow-ups is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Credit and Collections
  • Identifying AI applications across credit review, ageing analysis, collections, communication, and reporting
  • Understanding AI assistance versus Finance, Credit, and management judgement
  • Recognising limitations such as incomplete financial context, bias, hallucinations, and unsupported credit conclusions
Practical activities
  • Mapping a typical Credit & Collections workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a traditional collection task with an AI-assisted approach

Scenarios

Customer Account to Collection Action Plan

Customer Account + Credit Terms + Ageing + Payment History → AI-Assisted Analysis → Priority Level → Follow-Up Strategy → Communication → Finance Review

Participants use AI to analyse a sample customer account, identify overdue balances and payment patterns, and prepare a structured collection action plan without delegating credit decisions to AI.

Receivables Portfolio to Management Review

Ageing Report + Overdue Balances + Disputes + Promise-to-Pay Data → AI Analysis → Collection Trends → High-Priority Accounts → Required Actions → Management Report

Participants use AI to analyse sample receivables information, identify collection priorities and recurring issues, and prepare a management-ready Credit & Collections report.

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