If your company could only fund one AI project this year, would you know how to pick it, or would you just go with whatever sounds most impressive in the boardroom? This session gives SAP leaders the exact "discovery-first" framework used to identify, score, and prioritize AI opportunities across finance, HR, procurement, and supply chain, instead of the common mistake of chasing exciting technology before understanding the real business problem. Three full hands-on labs walk you through building a use-case matrix, a 12-month AI portfolio, and selecting your organization's first "lighthouse" use case.
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Chapters:
00:00 Introduction & AI Opportunity Mapping Agenda
04:13 Problem-to-Solution Mapping for Business Outcomes
11:40 AI Opportunity Scoring Framework Explained
17:02 Understanding SAP AI Patterns & Use Cases
23:57 Lab 1: Value vs Feasibility Matrix for SAP AI Use Cases
27:07 Lab 2: Building a 12-Month SAP AI Portfolio Roadmap
30:22 Lab 3: Lighthouse AI Use Case & Invoice Automation
In this video, you'll learn:
The discovery-first approach: why successful AI programs start by identifying valuable business problems, not by asking "where can we use AI?"
The four process types where AI delivers the highest value are repetitive, high-volume, decision-heavy, and exception-heavy processes
A simple heuristic framework to quickly identify strong AI candidates within any SAP process
The five AI patterns explained clearly: Copilot, Predictive AI, Document AI, Workflow AI, and Agentic AI, and when each one applies
How to score opportunities across three dimensions: business value, implementation feasibility, and adoption readiness
Hands-on Lab 1: building a 2x2 value-versus-feasibility matrix to sort 12 real use cases into quick wins, strategic bets, nice-to-haves, and "why not"
Hands-on Lab 2: building a full 12-month AI portfolio (60% quick wins, 30% strategic bets, 10% transformational) with quarter-by-quarter focus areas
Hands-on Lab 3: selecting a "lighthouse" use case, a real invoice automation example showing before/after KPIs like processing time, cost per invoice, and manual effort reduction
The goal was never "deploy AI"; it's creating measurable business outcomes, and this framework is exactly how enterprise transformation teams build a roadmap that earns real executive sponsorship. The next module moves into building the business case and investment models behind these prioritized opportunities.
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