Boardrooms everywhere are buzzing about AI—but few know where to begin. In this episode, host Robert Sur welcomes Rich Radford, VP of Client Solutions at Seanergy.ai and a self-proclaimed “recovering accidental Salesforce admin.” Together, they confront the gap between AI hype and meaningful execution.

Rich shares firsthand stories—from healthcare systems using AI to book appointments and chart patient notes, to a VP of operations discovering their company was tapping only 10% of AI’s potential. They examine why most companies are stuck in inertia, how fear of failure and fragmented data holds teams back, and what real readiness for AI looks like. You’ll hear what happens when leadership gives permission to fail fast, and how one Fortune 500 firm is turning 58,000 employees into AI bot managers—complete with employee numbers.

For Salesforce Admins navigating AI adoption, this is your blueprint for making the leap from aspirational to actual.

👤 Guest Bio

Rich Radford is VP of Client Solutions at Seanergy.ai. A veteran technologist with experience across cloud, security, and AI, Rich has implemented ERPs, consulted on Salesforce and marketing automation, and now builds AI-driven business solutions. A former accidental Salesforce admin himself, he now helps clients unlock strategic potential through practical AI use cases.

🔗 Connect with Rich on LinkedIn

📌 What We Cover

• How to close the gap between AI hype and real execution
• Why most companies only tap 10% of AI’s current potential
• The HP program training 58,000 employees to build AI bots with employee numbers
• What makes AI adoption succeed—push, pull, and focused execution
• Case study: AI agents that schedule medical appointments and reduce no-shows
• Case study: Doctors using AI to chart conversations with 30% more throughput
• Why company inertia, fragmented systems, and regulatory fears are blockers
• How to know if your company is ready for AI—and what to do if it’s not
• The importance of small, measurable proof-of-concept projects
• What AI readiness really means: cross-functional teams, clean data, and executive buy-in

🔗 Resources Mentioned

• Seanergy.ai
• ChatGPT
• Epic and Athena (EHR platforms)
• ZoomInfo
• Google Ads
• Facebook Ads
• Berkshire Hathaway (mentioned in context of AI investment discussion)