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:
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.
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. | Module | Phase | Hours |
|---|---|---|---|
| 1. | AI, GenAI and the future of finance | Ignition | Mandatory | 6 |
| 2. | GenAI productivity, prompting and finance research | Ignition | Mandatory | 6 |
| 3. | AI-enhanced Excel, data quality and finance automation | Ignition | Mandatory | 6 |
| 4. | Track A: Controllership, close and reporting | Acceleration | Optional | 12 |
| 5. | Track B: FP&A and decision intelligence | Acceleration | Optional | 12 |
| 6. | Track C: Audit, risk, tax and compliance | Acceleration | Optional | 12 |
The common starting point builds a shared AI vocabulary, governed prompting and research discipline and controlled Excel and data capabilities.
Build governance-first AI literacy and identify measurable finance value.
Case: Supervised three-way-match agent(Indicative)
Create reliable finance work products through structured prompts and evidence.
Case: Board-ready margin variance commentary(Indicative)
Turn messy finance data into controlled and repeatable analysis.
Case: AR ageing and sub-ledger-to-GL reconciliation(Indicative)
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 |
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 |
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 |