Subvolts take SAP's CTO explains how to integrate AI into core business systems for real-world impact. Apr 23, 2026 - Developers
- Learn about enterprise AI challenges and how tools like SAP are adapting for business integration.
- Business
- Understand practical strategies for AI adoption, focusing on outcomes, processes, and data management in large organizations.
This is a solid interview with a CTO from a major enterprise software company discussing AI integration.
SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
On the No Priors podcast, SAP CTO Philipp Herzig discusses bringing enterprise software into the AI era. He explains how SAP, an "operating system" for over 400,000 customers, is helping businesses adopt AI by focusing on outcomes, user interfaces, processes, and data. Herzig also covers challenges like security, scaling, and data fragmentation, and SAP's AI product suite.
SAP makes the "computer system" for many large companies. This episode explains how they are adding AI to help businesses work better, focusing on making AI useful for customers and improving how companies do things. It’s about making sure AI is safe and works well for businesses.
This episode offers insights into how a major enterprise software provider is navigating the AI transition. It's for business leaders and IT professionals looking to understand practical AI adoption challenges and strategies. The discussion on enterprise AI, data, and scaling connects to current efforts by frontier labs to integrate AI into business workflows and manage complex data environments.
- HostSarah Guo
- HostElad Gil
- GuestPhilipp HerzigChief Technology Officer, SAP
- Guest: Philipp Herzig, CTO of SAP
- Show: No Priors
- Episode Length: 46 minutes
- SAP Customers: More than 400,000
- AI Adoption Focus Areas: Customer outcomes, UI changes, business processes, data layer
More than fifty years ago, the modern idea of the standard enterprise software was birthed at SAP. Now, after managing companies through technological shifts from the mainframe to mobile, SAP is at the forefront of closing the AI adoption gap for their customers. SAP Chief Technology Officer Philipp Herzig joins Sarah Guo to talk about how SAP has remained a durable end-to-end “operating system” for its more than 400,000 customers from finance to supply chain. Philipp argues that the AI transition in businesses should focus on customer outcomes, UI changes, business processes, and the data layer. He also explains the challenges in enterprise AI adoption, including security, scaling, and data fragmentation, as well as the importance of evals and verifiability. They also discuss SAP’s suite of AI products, limitations of predictive tabular models, how SAP is shifting its pricing models in the AI era, and Philipp’s interest in quantum computing optimization.
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Chapters:
00:00 – Cold Open
00:42 – Philipp Herzig Introduction
01:18 – What SAP Does
02:51 – Why SAP Endures
06:53 – CTO Priorities and AI Push
12:14 – Scaling AI in Enterprise
17:06 – Verifiability and Agent Mining
20:42 – Tool Calling vs. Computer Use
22:11 – Domains Where Agents Deliver Value
24:58 – Limitations of Predictive Tabular Models
29:07 – Barriers to Enterprise Adoption
31:54 – How AI Will ‘Uplevels’ Work
34:03 – How AI Changes SAP’s Pricing Model
36:41 – What Makes a Winner in the AI Era
38:53 – Day in the Life of a CTO
40:08 – Customer Challenges
42:36 – Business Problem of Quantum Computing
46:21 – Conclusion
- enterprise software
- Philipp Herzig
- computer programs used by large organizations for business operations.
- predictive tabular models
- Philipp Herzig
- AI models that make predictions based on structured data in tables.
- agent mining
- Philipp Herzig
- a technique to discover and analyze autonomous AI agents within a system.
39 min1 h 1136 minQuestions people ask
- What is SAP's role in enterprise software?
- SAP provides an end-to-end "operating system" for businesses, managing everything from finance to supply chain for over 400,000 customers.
- What are the key areas for AI adoption in businesses?
- According to SAP's CTO, AI adoption should focus on customer outcomes, UI changes, business processes, and the data layer.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Conviction.