Finance teams face a credibility trap with AI: the function that certifies the company's numbers cannot afford tools that hallucinate, yet the function drowning in manual reporting, reconciliation prep, and variance commentary needs automation more than anyone. Most finance professionals resolve the tension by avoiding AI entirely, which protects the numbers and forfeits the hours.
This workshop resolves it properly. Finance and accounting teams learn where AI is reliably useful in their workflows, where it is dangerous, and how to use it inside the control discipline the profession already lives by, hands-on, with finance-shaped exercises throughout.
What will participants learn?
- The reliability map: which finance tasks AI handles well (drafting, summarizing, categorizing, first-pass analysis) and which demand human ownership (judgments, sign-offs, anything certified)
- Hands-on application: management reporting drafts, variance commentary, account analysis support, policy documentation, and spreadsheet work
- Data discipline: what financial data may touch which tools, and how to build a compliant workflow
- Verification habits: checking AI output the way finance already checks everything else
- The automation horizon: what agent-level automation means for the finance function
Who is this workshop for?
Controllers and their teams, FP&A groups, accounting departments, and finance business partners. CFO participation in the opening and closing segments is encouraged and common.
What formats are available?
Half-day or full-day corporate delivery, on-site or virtual. Teams evaluating deeper automation continue naturally into AI accounting agents, and finance-sector event planners should also see the AI for Financial Services keynote.
How do you book it?
Request a workshop quote with your team profile and systems landscape; the full program list is in the workshop catalogue.
Frequently asked questions
Does the workshop use our actual financial data?
Only within your policies; exercises default to representative synthetic data, and the data-discipline segment teaches exactly when real data is and is not appropriate.
Is this relevant for audit-exposed processes?
Yes; the verification and documentation habits taught are designed to keep AI-assisted work inside the evidence standards finance already maintains.
Our team uses Excel all day. Does the workshop meet them there?
It does; spreadsheet-adjacent AI workflows are a core hands-on segment, because that is where finance hours actually live.