# The Rise of Agentic AI: Transforming Business Operations

Page: https://stenobird.com/podcast/ai-engineering-podcast/the-rise-of-agentic-ai-transforming-business-operations
Text version: https://stenobird.com/podcast/ai-engineering-podcast/the-rise-of-agentic-ai-transforming-business-operations.md
Podcast: [AI Engineering Podcast](https://stenobird.com/podcast/ai-engineering-podcast)
Published: 2025-05-21T00:52:31+00:00
Episode link: https://www.aiengineeringpodcast.com/agentic-ai-business-impact-episode-51
Audio file: https://op3.dev/e/dts.podtrac.com/redirect.mp3/serve.podhome.fm/episode/f6ff0caa-931b-4c08-bfdd-08dc7f5cd336/638833852069853299e62eb282-801c-4c31-b45c-bb4a43185cbfv1.mp3
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JSON: https://stenobird.com/v1/public/podcasts/ai-engineering-podcast/episodes/the-rise-of-agentic-ai-transforming-business-operations
Duration seconds: 3717

## Resource

Summary In this episode of the AI Engineering Podcast, host Tobias Macey sits down with Ben Wilde, Head of Innovation at Georgian, to explore the transformative impact of agentic AI on business operations and the SaaS industry. From his early days working with vintage AI systems to his current focus on product strategy and innovation in AI, Ben shares his expertise on what he calls the "continuum" of agentic AI - from simple function calls to complex autonomous systems. Join them as they discuss the challenges and opportunities of integrating agentic AI into business systems, including organizational alignment, technical competence, and the need for standardization. They also dive into emerging protocols and the evolving landscape of AI-driven products and services, including usage-based pricing models and advancements in AI infrastructure and reliability. Announcements Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems Your host is Tobias Macey and today I'm interviewing Ben Wilde about the impact of agentic AI on business operations and SaaS as we know it Interview Introduction How did you get involved in machine learning? Can you start by sharing your definition of what constitutes "agentic AI"? There have been several generations of automation for business and product use cases. In your estimation, what are the substantive differences between agentic AI and e.g. RPA (Robotic Process Automation)? How do the inherent risks and operational overhead impact the calculus of whether and where to apply agentic capabilities? For teams that are aiming for agentic capabilities, what are the stepping stones along that path? Beyond the technical capacity, there are numerous elements of organizati…

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