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About the course:

AI is reshaping how finance teams analyze information, manage processes, forecast performance, assess risk and support business decisions. However, sustainable transformation requires more than familiarity with AI tools. It demands reliable data, responsible use, professional judgement, strong controls and the ability to translate AI-generated insights into action. 

AI in finance is an application-oriented practitioner development program designed to help finance professionals use AI confidently, responsibly and effectively across real-world finance workflows. 

The program combines a mandatory foundation in AI, Gen AI, governed prompting, finance research, Excel and data automation with role-specific specialization tracks in: 

  • Controllership, close and reporting 
  • Financial planning and analysis (FP&A) and Decision Intelligence 
  • Audit, Risk, Tax and Compliance 

Delivered through demonstrations and case sprints, the program enables participants to develop practical finance work products and complete a track-specific, CFO-ready finance transformation capstone. 

Key benefits:

  • Build practical AI fluency and understand how AI, GenAI and intelligent agents are transforming finance processes and decision-making. 
  • Improve productivity using GenAI for finance research, accounting memos, reports, commentaries, summaries and management insights. 
  • Enhance Excel, data analytics, automation, reconciliation and dashboarding capabilities through AI-assisted tools and techniques. 
  • Identify high-impact AI opportunities across the finance value chain and develop business cases for finance transformation initiatives. 
  • Apply governance, risk, privacy, security and control frameworks to enable responsible and compliant AI adoption. 
  • Design finance-focused knowledge assistants and supervised agentic workflows with clear approval, audit and oversight mechanisms. 
  • Gain domain-specific expertise by applying AI to controllership and reporting, FP&A and decision intelligence, or audit, risk, tax and compliance functions. 
  • Deliver a practical finance transformation capstone and confidently communicate AI-enabled recommendations to CFOs, controllers, auditors and business leaders.
  • AI and finance transformation focuses on mastering AI, GenAI, intelligent agents, automation, analytics, forecasting, reporting and decision intelligence within finance workflows.

Program at a glance:

  • Program format: Learn through MS Excel, non-coding, workflow-based and case-led 
  • Learning structure: Mandatory Ignition Phase followed by optional acceleration tracks 
  • Ignition Phase: 18 hours across three mandatory modules 
  • Acceleration tracks: 12 hours per track 
  • Flexible completion pathways
    • 30 hours: Ignition + any one track
    • 42 hours: Ignition + any two tracks
    • 54 hours: Ignition + all three tracks
  • Programming requirement: No programming experience required 

Program coverage: The two-phase design

Ignition is mandatory for every participant.

Acceleration tracks are optional specializations. Learners may select one, two, or three tracks, and each selected track includes a grounded assistant, a supervised agentic workflow and a domain capstone.

S.No.ModulePhaseHours
1.AI, GenAI and the future of financeIgnition | Mandatory6
2.GenAI productivity, prompting and finance researchIgnition | Mandatory6
3.AI-enhanced Excel, data quality and finance automationIgnition | Mandatory6
4.Track A: Controllership, close and reportingAcceleration | Optional12
5.Track B: FP&A and decision intelligenceAcceleration | Optional12
6.Track C: Audit, risk, tax and complianceAcceleration | Optional12

Ignition: Universal AI fluency

Modules 1-3 | Mandatory | 18 hours

The common starting point builds a shared AI vocabulary, governed prompting and research discipline and controlled Excel and data capabilities.

AI, Gen AI and the future of finance

Build governance-first AI literacy and identify measurable finance value.

  • Finance evolution and value-chain use cases
  • Hallucinations, privacy, bias, IP and model risk
  • Opportunity heatmap, agent contract and governance checklist

Case: Supervised three-way-match agent(Indicative)

Gen AI Productivity, Prompting and finance research

Create reliable finance work products through structured prompts and evidence.

  • Prompt anatomy, structured outputs and iteration
  • Grounded research, citation checks and professional skepticism
  • Governed finance prompt library

Case: Board-ready margin variance commentary(Indicative)

AI-enhanced Excel, data quality and automation

Turn messy finance data into controlled and repeatable analysis.

  • AI-assisted formulas, pivots, charts and power query
  • Data quality, control totals and audit trails
  • Reconciliations, exception analytics and dashboards

Case: AR ageing and sub-ledger-to-GL reconciliation(Indicative)

Track A: Controllership, close and reporting |12 hours | Optional specialization

Strengthen the control environment while accelerating close, reconciliation, accounting analysis and management reporting. The track culminates in a grounded close/policy assistant, supervised close workflow and CFO-ready transformation capstone.

S.No.Module
1.Close and reconciliation transformation
2.Accounting judgement and documentation
3.MIS, consolidation and controller reporting
4.Knowledge assistant and agentic workflows
5.Capstone discovery and build

Track B | FP&A, forecasting and decision intelligence | 12 hours | Optional specialization

Move from descriptive reporting to driver-based forecasts, scenarios and decision-focused insight. Sessions cover driver trees, rolling forecasts, validation, scenario modeling, a grounded planning-assumptions assistant, an agentic forecast-refresh workflow and a CFO-ready FP&A capstone.

S.No.Module
1.Driver-based planning 
2.Forecasting and validation 
3.Scenario and sensitivity modeling 
4.Grounded knowledge assistant and agentic workflow studio 
5.Capstone discovery and build 

Track C | Audit, risk, tax and compliance |12 hours | Optional specialization

Apply AI with professional skepticism to risk assessment, audit evidence, controls testing and compliance workflows. Sessions cover anomaly analysis, controls and obligations, review-ready work papers, a grounded compliance assistant, supervised evidence gathering and an assurance transformation capstone.

S.No.Module
1.Audit analytics and professional skepticism 
2.Controls, contracts and compliance 
3.Work papers, tax, compliance and audit committee reporting 
4.Grounded knowledge assistant and agentic workflow studio 
5.Capstone discovery and build

 

   
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