Are you overcomplicating SAP AI? What if the fastest way to see results isn’t building AI from scratch… but simply switching it on? Most organizations think SAP AI is a massive transformation project. But the reality? SAP has already built thousands of AI capabilities directly into its ecosystem. The smartest companies aren’t building first, they’re activating first. In this video, we break down exactly where to start, how to measure ROI, and what a realistic SAP AI roadmap looks like in 2026 and beyond.
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Timestamps:
00:00 Introduction
00:13 - Where should organizations start if they want SAP AI results quickly?
01:07 - What does SAP AI really mean beyond buzzwords?
01:58 - How does SAP Joule fit into the SAP AI ecosystem?
02:59 - What role does SAP BTP play in enabling AI across SAP systems?
03:52 - How should companies identify the right AI use cases?
04:33 - Is AI more effective at the process level or decision level?
05:13 - How do you balance experimentation with governance in SAP AI?
05:47 - What does a realistic AI roadmap look like for SAP customers?
07:59 - How can organizations measure ROI from SAP AI initiatives?
08:33 - What role do hyperscalers play alongside SAP AI?
09:29 - How do SAP data models make AI more effective than generic AI tools?
10:17 - Where do organizations usually overcomplicate AI adoption?
11:29 - What skills gaps do you see most often in SAP AI programs?
12:14 - How does AI change the role of functional consultants?
13:05 - What will SAP AI look like for customers in the next 2 to 3 years?
In this video, you’ll learn:
Why “Switch On AI, Don’t Build AI” is the smartest starting strategy
How SAP Joule acts as the entry point into the entire SAP AI ecosystem
The foundational role SAP BTP plays in enabling AI, agents, workflows, and extensions
How to identify high-ROI AI use cases using a human-centric discovery approach
How to measure ROI (including real examples like 4-way invoice match savings)
Where organizations overcomplicate AI adoption, and how to avoid it
The biggest SAP AI skill gaps companies are facing right now
What SAP AI will realistically look like in the next 2 to 3 years
SAP AI is not about launching a massive, risky program. It’s about activating what already exists, experimenting intelligently, and scaling what works. Start with SaaS AI. Move to PaaS extensions. Then expand into S/4HANA core transformation. And remember, AI maturity is incremental. 60% accuracy today can become 95% tomorrow. The companies that win aren’t waiting for perfection. They’re building capability.
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