AI for Finance & Accounting
No theory. The four AI plays for finance — document extraction, reconciliation, forecasting, anomaly — sequenced in the right order. The four-week build plan for invoice AI. The reconciliation agent that takes the close from five days to two. When ML beats Excel and when it doesn't. Anomaly detection with internal audit as your ally. Tax and compliance copilots without crossing the lines. The 90-day data sprint. And a one-page finance AI roadmap your CFO and audit committee can sign.
8
Chapters
~65 min
Duration
Intermediate
Level
No
Certification
Course Content
Where AI fits in finance
Four plays that pay (document extraction · reconciliation · forecasting · anomaly). One that wastes time. The sequence and three traps.
Invoice & document AI
Three deliverables — extraction, LLM verification, ERP write-back. Four-week build plan. Three disciplines that keep the benefit alive.
The reconciliation agent
Ingest · match · propose journal entries. The 3-day close calendar. The material-entry threshold that keeps auditors comfortable.
Forecasting with AI
Five conditions: when ML beats Excel and when it doesn't. Confidence intervals, not points. Three-item governance overlay.
Anomaly, audit, and fraud
Three layers in order (rules → statistical → LLM reasoning). Internal audit as ally — the dashboard, the joint review. Investigation-rate weekly.
Tax & compliance copilots
Three boring use cases that work. Three to deliberately skip. Source-of-truth lockdown · citation · quarterly edge-case review.
The data quality conversation
Three blockers (master data fragmentation · unstructured GL · history without consistency). The 90-day data sprint.
Capstone — Your finance AI roadmap on one page
Five sections: play sequence · data investment · economic case · governance posture · team & partner mix. Three conversations: CFO, internal audit, audit committee.