Enterprise AI has moved beyond experimentation. The challenge now is building systems that deliver answers companies can trust—especially in highly regulated industries where accuracy, governance, and compliance are nonnegotiable.
In this episode, Gary and Scott welcome Evan Siegel of eGain back to the Macro AI Podcast. Drawing on his experience in financial services, customer experience, and large-scale contact center operations, Evan explains how organizations are moving from AI pilots toward practical, measurable deployment.
The conversation explores eGain’s expanding focus on banking and healthcare, why enterprise knowledge has become foundational infrastructure for AI, and how companies can reduce hallucinations by connecting AI systems to accurate, governed, and continuously maintained information.
They also discuss:
For business and technology leaders, this episode provides a practical look at what it takes to move from AI enthusiasm to trusted, governed, and measurable execution.
Featured guest: Evan Siegel, eGain
Follow the Macro AI Podcast for practical conversations about artificial intelligence, enterprise technology, and the strategies business leaders need to understand what comes next.
eGain
https://www.egain.com/
Send a Text to the AI Guides on the show!
About your AI Guides
Gary Sloper
https://www.linkedin.com/in/gsloper/
Scott Bryan
https://www.linkedin.com/in/scottjbryan/
Macro AI Website:
https://www.macroaipodcast.com/
Macro AI LinkedIn Page:
https://www.linkedin.com/company/macro-ai-podcast/
Gary's Free AI Readiness Assessment:
https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness
Scott's Content & Blog
https://www.macronomics.ai/blog
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