Role-Based Programme
RB1393

AI-Powered General Accounting & Bookkeeping

Smarter Journal Entries, Reconciliation & Financial Record Management

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support General Accounting and Bookkeeping across transaction recording, journal preparation, ledger review, reconciliation, and reporting.
  • Apply AI-assisted techniques to organise accounting data, review transaction records, identify exceptions, and support month-end activities.
  • Use structured prompting for journal-entry support, account reconciliation, ledger analysis, documentation, and financial reporting.
  • Explore AI-supported approaches for identifying duplicate entries, unusual transactions, missing information, and accounting-process inefficiencies.
  • Build responsible AI-assisted accounting workflows while maintaining accuracy, source verification, financial controls, confidentiality, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Accounting Data AnalysisJournal Entry SupportLedger & Reconciliation AnalysisFinancial Documentation AIReporting & Workflow Automation

Who should attend

  • General Accountants
  • Bookkeepers
  • Accounting Executives
  • Accounts Executives
  • GL Accountants
  • Junior Accountants
  • Finance Executives
  • Record-to-Report Professionals
  • Finance Operations Professionals
  • Accounting Analysts
  • Shared Services Professionals
  • Financial Accounting Professionals
  • Accounting Managers
  • General Accounting & Bookkeeping Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of accounting and bookkeeping concepts
  • Familiarity with journals, ledgers, trial balances, reconciliations, or financial records 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 accounting and bookkeeping
  • Identifying AI applications across transaction review, journal preparation, reconciliation, documentation, and reporting
  • Understanding AI assistance versus Accountant and Finance professional judgement
  • Recognising limitations such as incorrect classification, hallucinations, incomplete context, and unsupported accounting conclusions
Practical activities
  • Mapping a typical General Accounting workflow
  • Identifying repetitive and information-intensive accounting tasks suitable for AI assistance
  • Comparing a traditional bookkeeping task with an AI-assisted approach

Scenarios

Transaction Records to Month-End Close

Source Documents → AI-Assisted Classification → Journal Draft → Ledger Posting Review → Reconciliation → Adjustments → Finance Validation → Close

Participants use AI to organise sample accounting transactions, prepare draft entries, review ledger activity, and support a controlled month-end close process.

Ledger & Reconciliation Data to Accounting Review

Ledger Data + Reconciliation Status + Open Items + Journal Entries → AI Analysis → Exceptions → Unusual Movements → Priority Actions → Management Summary

Participants use AI to analyse sample accounting information, identify recurring issues and unresolved balances, and prepare a management-ready General Accounting review.

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