Course overview
Practical overview of AI-driven accounting automation: covers bookkeeping fundamentals, automated data entry and categorization, bank reconciliation, anomaly detection, payroll automation, forecasting, integration of AI tools and governance — no claim of official certification.
Accounting and bookkeeping fundamentals: manual cycle, double-entry and key accounting concepts to anchor automation.
AI applied to finance: which processes to structure, quick verification steps and common pitfalls to avoid.
Core automation topics: automated data capture, transaction categorization, bank reconciliation and invoice/expense workflows.
Advanced areas: forecasting and predictive analytics, anomaly and fraud detection, payroll automation, tool integration and AI governance.
Skills and topics covered
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