Professional AI for CFOs Programme

Course overview

Applying AI safely and productively to forecasting, reporting and decision support, without ceding financial judgement.

Intended audience

CFOs and finance leaders adopting AI tools

Duration & delivery format

8 weeks · 7 modules · Facilitator-led cohort · Corporate & in-house

Learning outcomes

• Explain, in plain terms, how large language models and predictive AI tools actually work and what that implies for their use in finance.
• Identify where AI-assisted forecasting genuinely improves on traditional budgeting and forecasting methods.
• Apply AI tools to accelerate variance analysis and management commentary drafting.
• Apply anomaly-detection AI tools to identify unusual transactions warranting further investigation.
• Assess the data quality an organisation needs before AI tools can be relied upon for finance use cases.
• Sequence AI pilot initiatives within the finance function based on risk, data readiness and expected value.

Course outline

7 modules, with a short description of what each one covers. The expanded outline below adds fuller module detail, the practical skills each module builds, sample activities and key takeaways.

1. 01

   AI Literacy for Finance Leaders

   Core concepts, capabilities and limits of AI relevant to finance.

2. 02

   AI in Forecasting & Planning

   Applying AI-assisted models to budgeting and forecasting.

3. 03

   AI in Financial Reporting & Analysis

   Using AI tools to accelerate reporting, variance analysis and commentary.

4. 04

   AI-Assisted Risk & Fraud Detection

   Applying AI to anomaly detection and control monitoring.

5. 05

   Data Governance & AI Risk

   Managing data quality, bias and governance risks in AI adoption.

6. 06

   Building an AI Adoption Roadmap

   Sequencing AI pilots and scale-up within the finance function.

7. 07

   Ethics, Judgement & the Limits of AI

   Preserving financial judgement and accountability alongside AI tools.