Responsible AI at Enterprise Scale | Phillip Swan + Robin Ayoub on Trust, ROI & Iridius
Description
Welcome to Episode 116
In this episode of the Localization Fireside Chat, I sit down with Phillip Swan, Co-Founder of Iridius.ai. We discuss how enterprises in highly regulated industries such as pharma and manufacturing can adopt AI responsibly. From governance and compliance to ROI and customer-centric design, this conversation offers a clear path to trusted AI at scale.
What you will learn in this episode:
- Why trust and governance are non-negotiable for enterprise AI
- How Iridius delivers a “solution factory” for regulated industries
- The difference between targeting small pain points vs. “migraine” problems
- How compliance, security, and data jurisdiction are built into the process
- Real examples of ROI in pharma validation and enterprise workflows
Chapters
0:00 Welcome and introduction 2:00 Phillip’s journey into tech and entrepreneurship 6:00 Customer-centric design and “grokking” your customer 12:00 Selling AI in B2B: enterprise vs. mid-market 16:00 Inside Iridius: what the company does and why it matters 22:00 Compliance, governance, and responsible AI guardrails 30:00 AI in customer support and real-world applications 36:00 Data jurisdiction, security, and encryption in AI 40:00 ROI, migraine-level problems, and scaling AI adoption 45:00 Closing thoughts and how to connect with Phillip Swan
Connect With Us Podcast on Spotify: https://open.spotify.com/show/5OoURgc29R31XPGzOWL9iX Apple Podcasts: https://podcasts.apple.com/us/podcast/localization-fireside-chat/id1688770183 Blog: https://www.robinayoub.blog LinkedIn: https://www.linkedin.com/in/robinayoub/ Email: rsayoub@gmail.com
Connect with Phillip Swan LinkedIn: https://www.linkedin.com/in/phillip-swan/ Iridius: https://iridius.ai
Disclaimer The Localization Fireside Chat is a personal project. Views shared are those of the host and guests. Content is not sponsored, not an endorsement, and does not represent any organization or affiliation.
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