Role-Based Programme
RB1419

AI-Powered Credit & Collections

Intelligent Credit Analysis, Receivables Management & Collection Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across credit assessment, customer risk review, receivables monitoring, collections, dispute handling, and cash-flow improvement.
  • Use AI to analyse customer financial information, invoices, ageing reports, payment behaviour, credit limits, collection history, disputes, and account activity.
  • Build repeatable AI-assisted workflows for credit review, collection prioritisation, customer communication, dispute follow-up, account monitoring, and reporting.
  • Apply AI to identify overdue-risk patterns, collection bottlenecks, deteriorating payment behaviour, unresolved disputes, concentration risks, and working-capital improvement opportunities.
  • Design responsible AI-enabled Credit & Collections workflows with appropriate controls for financial accuracy, customer confidentiality, fairness, approvals, explainability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIOCR & Data ExtractionSpreadsheet & Data AnalysisCredit Analytics ToolsAccounts Receivable SystemsCollection Management ToolsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Credit Managers
  • Collections Managers
  • Credit Analysts
  • Collections Analysts
  • Accounts Receivable Managers
  • Accounts Receivable Professionals
  • Credit Control Professionals
  • Collection Executives
  • Order-to-Cash Professionals
  • Finance Managers
  • Working Capital Analysts
  • Customer Finance Professionals
  • Shared Services Finance Professionals
  • Finance Operations Managers
  • Credit & Collections Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of credit management, collections, accounts receivable, finance operations, or working capital
  • Familiarity with customer accounts, invoices, ageing reports, credit limits, payment terms, disputes, and collection processes
  • Basic proficiency with spreadsheets, financial data, reports, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and collection automation
  • Mapping AI opportunities across credit assessment, receivables, collections, disputes, and reporting
  • Understanding AI assistance versus accountable credit and collection decisions
  • Recognising confidentiality, fairness, financial-accuracy, and customer-treatment risks
Practical activities
  • Mapping an existing Credit & Collections workflow
  • Comparing manual and AI-assisted activities
  • Creating a Credit & Collections AI opportunity matrix

Scenarios

Overdue Portfolio to Collection Action Plan

AR Ageing + Customer History + Credit Exposure + Payment Behaviour + Disputes → AI Analysis → Account Prioritisation → Collection Strategy → Customer Follow-Up → Commitment Tracking → Escalation → Cash Recovery Review

Participants use AI-assisted techniques to analyse a simulated overdue receivables portfolio, prioritise accounts, develop differentiated collection strategies, manage follow-up, and prepare a structured cash-recovery plan.

Credit & Collections Data to Working Capital Improvement

Credit Limits + Receivables + Ageing + Payment Patterns + Disputes + Collection Activity → AI Analysis → Risk & Cash-Flow Signals → Priority Actions → Automated Follow-Up → Credit & Collections Dashboard → Management Review

Participants design an AI-enabled Credit & Collections workflow that consolidates customer and receivables information, identifies payment and credit risks, automates suitable collection activities, and strengthens working-capital visibility while retaining final credit and financial decisions with authorised finance professionals.

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