In this episode of The Health/Tech Edge, Mike Moore sits down with Michael Riley, co-founder and Chief Product Officer at Gabeo, to talk about one of healthcare’s biggest hidden problems: claim denials.

Michael shares how Gabeo uses purpose-built agentic AI—not repackaged chatbots—to identify, prevent, and reverse denials in real time. With proven ROI as high as 40x, their platform helps providers recover revenue they were ready to write off.

They cover:

• Why denials were Gabeo’s first AI use case

• How their system works with zero integrations

• What they’ve learned from payer-specific denial patterns

• The real workforce impact of automation in rev cycle ops

• Advice for healthcare leaders evaluating AI today

If you're looking to reduce waste, increase efficiency, and get paid for the care you deliver, this one's worth your time.

In this episode of Health Tech Edge, Mike Moore sits down with Raheel Retiwalla, Chief Strategy Officer at Productive Edge, for a late mid-year check-in on AI in healthcare. Raheel shares what he’s hearing from healthcare leaders on both the payer and provider side — from the drive for measurable ROI and responsible AI to the challenge of too many point solutions.

They discuss the four core functions AI can play in healthcare workflows, how Productive Edge’s 50+ AI accelerators are helping organizations reimagine operations, and why payers focus on integration strategy while providers look to extend their EHR with point solutions and CRM-driven engagement.

Raheel also walks through real-world examples, including a pre-visit face sheet generator for care managers and revenue integrity optimization for providers, and offers practical guidance on building a unified AI strategy, prioritizing use cases, and delivering quick wins in weeks, not years.

In this episode of Health/Tech Edge, Mike Moore talks with Shannon Kennedy, Chair of the Healthcare Group at The Digital Economist and a Healthcare Strategy Advisor at Productive Edge. They explore what “ethical AI ROI” really means—and why it matters now more than ever in healthcare.

This isn’t about theory. It’s about recognizing that AI done wrong has real costs: compliance failures, reputational damage, and operational risk. Shannon shares examples from the front lines—staffing models, patient privacy, and vendor pilot projects—and breaks down how leaders can use the metrics they already have to track both impact and risk.

If you're a healthcare executive wondering how to connect responsible AI with business value, this episode gives you a simple starting point—and a few cautionary tales to avoid.