Course Introduction

Finance teams handle exactly the kind of work AI accelerates – analysis, reporting, reconciliation and communication. This one-day course shows finance and accounting professionals how to use AI tools to work faster and sharper, while keeping the accuracy and control finance demands. Practical, with finance-specific use cases.

Why this matters

Finance work – analysis, reporting, reconciliation and commentary – is precisely the kind of structured, language-heavy task AI accelerates. Finance professionals who use it well produce clearer reports and sharper analysis in less time, without sacrificing the accuracy and control the function demands. This course shows your team exactly where AI helps and where caution is essential.

What You Will Learn

• Where AI adds value in finance – and where to be cautious
• AI for reporting, commentary, summaries and board packs
• Analysing data and spotting trends with AI assistance
• Drafting policies, emails and finance communication
• Accuracy, verification, confidentiality and POPIA
• Practical prompts and a finance AI workflow

The Advantages of Attending

• Month-end commentary drafted in an hour, not a day – Your finance team uses AI to turn the trial balance and variances into first-draft management commentary, so the hours saved go into reviewing the numbers and the judgement calls rather than typing up the narrative.
• The same clear story every reporting cycle – Delegates learn to produce commentary that reads consistently from month-end to year-end, so exco and the board get the variances explained in plain language the same way each time instead of in whoever-wrote-it-this-month style.
• Errors caught before sign-off, not in audit – Attendees use AI to flag anomalies, cross-tie figures across schedules and pressure-test assumptions before the pack goes up, cutting the kind of mistakes that otherwise surface in front of the board or the auditors.
• Sensitive financials stay out of the wrong tool – The team leaves knowing exactly which figures may go into a public AI tool and which may not, how to anonymise or aggregate sensitive data first, and how to keep that work inside POPIA and company policy.
• A working method, not a year of trial and error – People walk out with tested finance prompts and a repeatable process they can run on the very next board pack, so the time saving lands this reporting cycle rather than after a season of guessing.

Skills You Will Walk Away With

• Draft month-end variance commentary from a trial balance and have AI explain the movements in plain management language
• Summarise a long financial report or audit findings into a one-page board-pack narrative
• Interrogate a finance dataset with AI to surface outliers, trends and reconciliation breaks before review
• Build and refine prompts that produce finance-grade output instead of vague, generic answers
• Cross-tie figures across schedules, packs and prior periods to confirm the numbers tell a consistent story
• Pressure-test spreadsheet formulas and assumptions with AI so errors are caught before figures are signed off
• Anonymise or aggregate sensitive financial data so it can be analysed without breaching confidentiality or POPIA
• Decide which figures may and may not go into a public AI tool, and structure prompts to keep confidential data out

Who Should Attend

Accountants, financial managers, analysts, bookkeepers and finance teams who want practical, safe AI productivity gains.

Why train with BOTI

BOTI has trained teams across South Africa for over a decade and is rated 4.8 from 652 Google reviews. This course is practical and hands-on, fully customisable to your team and industry, and can be delivered in-house at your premises anywhere in South Africa or at a public venue, with or without laptops supplied. Every delegate receives a certificate of completion and leaves with skills they can apply the very next day.