Future Bytes
Magnus Oxenwaldt
#058: Future Bytes with special guest Vignesh Subramanian
In this episode of Future Bytes, host Magnus Oxenwald sits down with Vignesh Subramanian, who has spent 25 years at the forefront of enterprise technology, to discuss the transformative shift from traditional software applications to agentic AI. The discussion centers on the rapid evolution of technology, specifically the move toward long-range agents capable of executing multi-step business workflows with minimal supervision. Subramanian argues that we are witnessing a fundamental change in how software is built—shifting from software that simply executes tasks to intelligence-based architectures. He highlights the critical importance of memory and context windows, which allow agents to understand complex business environments more accurately. A central theme of the conversation is the concept of "jagged intelligence," where AI excels at high-volume, routine tasks but can falter on mission-critical operations. Subramanian provides a practical rule of thumb for business leaders: tasks that one would be comfortable leaving unattended for a week are ideal for automation, while high-stakes, ethically sensitive, or novel situations still require human oversight. He also emphasizes that for organizations to truly benefit from these advancements, they must prioritize data quality, governance, and the upskilling of their workforce to treat AI as a digital coworker rather than a search engine.
Updated Jun 13, 2026
About This Episode
The era of logging into software and telling it what to do is ending. Magnus Oxenwaldt sits down with Vignesh Subramani, SVP of Product Management at Infor, with over 25 years of experience in enterprise software, to explore what the shift from applications to autonomous agents really means for business leaders in manufacturing, distribution, healthcare, fashion, and food and beverage.
Vignesh has lived through every major shift: client-server, e-commerce, mobile, SaaS. And he's clear this one is different. Not a new feature, but a new architecture. We are no longer adding intelligence to software. We are building software around intelligence. The conversation covers the jagged reality of AI today, the accountability gap between vendors and customers, and what leaders need to do right now to prepare their data, processes, and people. It's also a window into how Infor embeds industry-specific workflows and governed AI agents into its platform, so customers get AI that understands their business, not a generic model bolted on top.
Episode Highlights
- Enterprise software is shifting from applications to agentic AI.
- The 85% accuracy problem — why near-perfect AI still fails in mission-critical operations.
- How to decide which business decisions to hand over to agents.
- AI accountability: where vendor responsibility ends and customer responsibility begins.
- Why industry specificity matters — how Infor builds AI agents trained on the data, workflows, and terminology of specific industries rather than generic models.
- Practical steps to become AI-ready: data quality, governance, and upskilling.
Connect with Vignesh on LinkedIn: https://www.linkedin.com/in/vsubran/
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