Finance 2.0: Leading with Data & AI

Finance 2.0 is built on the conviction that financial intelligence is best acquired through doing, not watching. Every theme combines conceptual clarity with immediate application. The pedagogical approach integrates:

Live AI Labs: Every theme includes a structured, guided hands-on activity using real or simulated financial data with AI tools building practical fluency, not just awareness.

Industry-Anchored Case Studies: Cases are drawn from services, core manufacturing, and project management domains to ensure relevance across the participant cohort.

Cross-Industry Peer Learning: Structured group work across industries creates rich dialogue a services manager learning from a plant head, a project manager exchanging frameworks with an HR leader.

Financial Simulation Exercises: Gamified exercises on cost decisions, working capital management, and investment choices build intuition in a risk-free environment.

Personalised AI Prompt Library: Participants develop their own library of AI prompts for financial analysis tasks a take-home toolkit for immediate application back at work.

Reflective Practice Action Planning: Each day closes with structured reflection ensuring learning is connected to each participants specific role and context.

This programme is designed for managers who are analytically curious but have had limited formal exposure to finance. Ideal participants include:

Senior and middle-level managers from non-finance functions: Operations, Supply Chain, Engineering, HR, Marketing, and IT.

Project Managers in core industries such as EPC, infrastructure, and manufacturing seeking to understand project PLs, cost controls, and variance reporting.

Business Unit Heads and Functional Leaders seeking to align their decisions with financial strategy.

Entrepreneurs and SME owners who need to manage business finances and engage with investors and lenders.

Professionals from service industries IT, consulting, BPO, and BFSI wanting to improve their business case and profitability analysis skills.