Role-Based Programme
RB1395

AI-Powered General Accounting & Bookkeeping

Intelligent Transaction Processing, Reconciliation & Financial Close 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 bookkeeping, journal processing, ledger management, reconciliations, month-end close, and financial reporting.
  • Use AI to analyse source documents, accounting transactions, journals, ledgers, account balances, reconciliation records, and supporting schedules.
  • Build repeatable AI-assisted workflows for transaction classification, data validation, journal preparation, reconciliation, exception handling, and close support.
  • Apply AI to identify duplicate entries, classification errors, unusual transactions, unreconciled balances, documentation gaps, and process-improvement opportunities.
  • Design responsible AI-enabled accounting workflows with appropriate controls for financial accuracy, segregation of duties, approvals, confidentiality, traceability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIOCR & Data ExtractionSpreadsheet & Data AnalysisAccounting SoftwareERP & Financial SystemsReconciliation ToolsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • General Accountants
  • Senior Accountants
  • Bookkeepers
  • Accounting Executives
  • Accounting Analysts
  • General Ledger Accountants
  • Finance Executives
  • Finance Operations Professionals
  • Record-to-Report Professionals
  • Shared Services Finance Professionals
  • Reconciliation Analysts
  • Assistant Accountants
  • Accounting Managers
  • Financial Controllers
  • General Accounting & Bookkeeping Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of accounting, bookkeeping, general ledger, or finance operations
  • Familiarity with journals, ledgers, trial balances, reconciliations, source documents, and accounting periods
  • Basic proficiency with spreadsheets, accounting systems, financial 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, OCR, and accounting automation
  • Mapping AI opportunities across bookkeeping, journal processing, reconciliation, close, and reporting
  • Understanding AI assistance versus accountable accounting judgement
  • Recognising hallucination, financial-accuracy, confidentiality, and control risks
Practical activities
  • Mapping an existing accounting workflow
  • Comparing manual and AI-assisted accounting activities
  • Creating a General Accounting AI opportunity matrix

Scenarios

Source Document to Month-End Close

Source Documents → AI-Assisted Data Capture → Transaction Classification → Journal Preparation → Ledger Posting Support → Reconciliation → Close Review → Financial Reporting

Participants use AI-assisted techniques to process a simulated set of accounting transactions from source documents through journal preparation, reconciliation, and month-end close while maintaining appropriate accounting controls.

General Ledger Data to Accounting Quality Improvement

Ledger Transactions + Reconciliations + Journal Data + Close Status + Accounting Exceptions → AI Analysis → Unusual Patterns → Control Gaps → Priority Corrections → Automated Follow-Up → Accounting Dashboard → Management Review

Participants design an AI-enabled General Accounting workflow that consolidates accounting information, identifies recurring errors and control gaps, automates suitable bookkeeping activities, and improves financial-close visibility while retaining final accounting decisions with authorised finance professionals.

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