Most enterprises are still shoehorning AI into structures built for a different era, the horseless carriage problem. In this episode, Shawn is joined by Cobus Greyling, AI Evangelist at Kore.ai, and Carl Katz, VP of Global Technology Partners, for the show's first-ever dual-guest conversation. Together, they cover why multi-agent orchestration is outpacing prompt engineering as the critical enterprise skill, how to govern a workforce of AI agents before sprawl sets in, what the shadow AI economy is costing organizations in attribution and compliance, and how technology leaders can make the business case for AI experimentation without a clean ROI to show for it. If you're trying to move urgently but thoughtfully on AI, this one is for you.

What You'll Learn:

• Why multi-agent orchestration is becoming the skill that matters more than prompt engineering and what that shift means for your team
• What "bounded autonomy" is and why setting the right autonomy level per use case is the difference between a useful AI agent and a liability
• How the shadow AI economy works against your attribution, compliance, and AI governance efforts
• Why 80–85% of enterprise AI pilots fail in-house and what the ones that succeed do differently
• The horseless carriage trap: why plugging AI into existing processes without reimagining them is a recipe for wasted investment
• How to frame the AI experimentation business case for your board and finance team when clean ROI isn't available yet
• What an agent control plane is and why you'll need one before your AI agent count gets out of hand
• How to think about the build vs. buy vs. partner decision as agentic AI moves from pilot to production

Unstructured data now makes up 85–90% of everything enterprises create, and most of it is sitting unmanaged on your network, quietly inflating costs, widening your attack surface, and undermining your AI initiatives. In this episode, Shawn sits down with Michael Smith, Director of OEM & Technology Alliances at Congruity360, to make the case for data minimization as the defining IT discipline of 2026. They cover why more data is not better for AI (the right data is), how orphaned and redundant data becomes a weapon for bad actors, what a crawl-walk-run approach to data hygiene actually looks like, and how to bring your CISO, CFO, and board along for the ride.

What You'll Learn:

• Why unstructured data has become your enterprise's #3 most valuable asset, and its biggest hidden liability
• What ROT data (Redundant, Obsolete, Trivial) is costing you in storage, backup, and cyber insurance premiums
• How orphaned and unmanaged data expands your attack surface and becomes an entry point for bad actors
• Why feeding AI models more data creates worse outcomes, and how to identify the "right" data instead
• A crawl-walk-run approach to data classification and minimization that doesn't require boiling the ocean
• How to navigate GDPR, CCPA, HIPAA, and NYDFS without getting paralyzed by compliance complexity
• How to frame the data minimization business case for your CISO, CFO, and board

Everyone is talking about AI, but far fewer organizations are actually scaling it. David Vidoni, CIO at Pega Systems, joins Shawn Cordner of Amplix to cut through the noise and get practical. 

The conversation covers where enterprise leaders should be focusing their automation efforts across finance, HR, and legal functions; how to approach the pilot-to-scale gap and what the widely cited MIT finding that 95% of AI pilots fail to produce ROI actually tells us; and why the phased, iterative approach to modernization consistently beats the high-risk big bang. David also shares how enterprises can build the governance and quality controls needed to trust AI at scale, what explainability and audit trails look like in regulated industries, how to vet AI vendors for supply chain risk, and why change management remains the variable that determines whether any of it sticks. 

If your organization is past the curiosity stage and ready to build something that lasts, this episode is the starting point.

What You'll Learn:

• Where AI automation is generating real ROI beyond the obvious entry points, including finance, HR, and legal functions
• How to structure a POC that is designed to scale from day one and avoid the pilot-to-scale trap
• Why phased modernization consistently outperforms big bang migrations and how to build the case internally
• What governance, audit trails, and quality controls need to look like before you trust AI to run autonomously
• How to manage AI model drift in regulated industries subject to SOX compliance and HIPAA requirements
• What ISO 42001 certification means and why it should factor into your vendor selection process
• How to evaluate supply chain risk when AI is embedded in the platforms your business depends on
• Why change management determines whether AI adoption succeeds or stalls regardless of the technology

AI is rewriting the rules of software development, but are your teams and processes ready to capture the value? Vertikal6 CTO Vin DiPippo joins host Shawn Cordner to cut through the hype, revisit the hard lessons of vibe coding, and lay out what it actually takes to turn AI tooling into measurable business outcomes. A must-listen for technology leaders navigating the gap between experimentation and execution.

What You'll Learn:

• Why vibe coding fell short — and how spec-driven development is changing the approach to AI-assisted coding
• What the data actually says about AI productivity gains, and why the real-world numbers often tell a different story
• How to integrate AI into DevOps and DevSecOps without sacrificing code quality or security
• Why AI in development is a lot like offshore outsourcing — and the lessons from that era tech leaders can't afford to ignore
• How to set realistic expectations with business stakeholders and measure ROI before and after AI adoption
• Practical advice for standardizing AI tools across your development team and building a culture of shared learning

What does AI actually change about customer experience, and what doesn’t? 

In this episode, Shawn Cordner sits down with Gary Sorrentino, Global CIO of Zoom, to explore how one of the world’s most recognizable collaboration platforms thinks about AI, customer experience, and the future of work.

Gary shares how CX, employee experience (EX), and digital experience (DX) are converging into a single, continuous experience, and why organizations need to design from business outcomes backwards, not from tools forward. They discuss how AI should eliminate friction and busywork, where human judgment still matters most, and what enterprises must get right around governance, trust, and change management as agentic AI and digital assistants move into production.

If you’re responsible for IT, CX, or digital transformation, this conversation offers a practical, executive-level view of what it takes to scale AI in a way that drives real value.

What You’ll Learn

• How Zoom approaches AI in customer and employee experience
• Why CX, EX, and DX are now inseparable
• What agentic AI means for moving from answers to action
• How to design journeys starting with outcomes, not features
• Why does human change management determine success or failure
• How leaders should think about AI governance, trust, and ROI

In this episode of The Amplitude of Tech, Shawn Cordner talks with Joe DeLuca, Senior Director of Voice, Contact Center, and Collaboration at Wyndham Hotels & Resorts, about what it really takes to apply AI in customer experience without sacrificing trust, quality, or brand. 

Joe shares how large enterprises are balancing cost pressure, rising customer expectations, and rapid advances in AI, and where technology leaders should focus first to see real impact. The conversation goes beyond hospitality to explore universal challenges around automation, personalization, data readiness, and governance that apply to any organization modernizing its CX and operations.

If you’re a CIO, CTO, or CX leader thinking about AI beyond pilots, this episode offers a grounded look at what’s working, what isn’t, and how to build a foundation for scale.

What You’ll Learn

• Where AI can drive meaningful cost savings today without hurting CX
• Why bad automation is usually a design problem, not a technology problem
• How enterprises think about personalization when data is fragmented
• What governance looks like when AI starts touching real customer interactions
• How to prioritize CX and AI investments when budgets are tight

After a year of pilots and proofs-of-concept, many enterprises are now asking harder questions about outcomes, ROI, and long-term strategy. In this episode, Scott Weiner of NeuEon revisits his 2025 AI predictions and evaluates what played out as expected, what lagged behind, and where adoption accelerated faster than anticipated.

The conversation shifts from experimentation to execution, covering workforce readiness, industry-specific models, infrastructure economics, and how rising costs and regulatory uncertainty may shape AI investment decisions in 2026. Enterprise leaders will gain a practical perspective on how to prioritize AI initiatives that deliver measurable business value while managing operational and compliance risk.

As enterprise interest in AI accelerates, many organizations are discovering that success depends far less on models and far more on the systems that surround them. In this episode, Scott Weiner joins the conversation to unpack what actually changed in enterprise AI over the past year, including the rise of agent-based systems, the growing importance of infrastructure and data readiness, and why governance and risk management are now business-critical concerns, not just IT issues.

The discussion explores why AI often amplifies existing organizational strengths and weaknesses, how misplaced trust in automation can introduce new risks, and what enterprise leaders should be thinking about as AI moves from experimentation to business-critical operations.

In this episode of The Amplitude of Tech, host Shawn Cordner sits down with Patrick Chilcott, Chief Financial Officer of Riverside Community Care, for a candid conversation on the realities facing behavioral healthcare organizations today.

Patrick shares an insider’s perspective on razor-thin margins, shifting reimbursement models, rising cybersecurity risks, and how technology leaders can respond without losing sight of what matters most: patient outcomes and human-centered care. The discussion spans AI-driven clinical documentation, telehealth, cybersecurity resilience, vendor negotiation strategies, and why nonprofit healthcare organizations must increasingly think like for-profit businesses to survive.

This episode offers practical insights for healthcare executives, technology leaders, and finance teams navigating AI adoption, cost pressure, and regulatory complexity, while still delivering high-quality, compassionate care.  

AI is reshaping marketing, customer experience, and enterprise technology faster than most organizations can keep up, but speed alone doesn’t guarantee better outcomes.

In this episode, Shawn Cordner sits down with Jared Ruth, Founder of RipCurrent Agency, to explore where AI creates real value and where it can quietly undermine trust, brand, and human connection if deployed without intention. Drawing on decades of experience across enterprise service providers, marketing leadership, and emerging AI use cases, Jared shares a grounded perspective on how organizations should think about personalization, automation, and the evolving role of humans in an AI-driven world.

The conversation spans practical AI applications in marketing and CX, the risks of AI fatigue and over-automation, why “English is the new programming language,” and how data from marketing, contact centers, and digital channels can (and should) shape smarter AI strategies. Most importantly, Shawn and Jared challenge the idea that AI replaces creativity or relationships, arguing instead that it raises the stakes for authenticity, culture, and owning the moments that matter most to customers.

This episode is a must-listen for technology leaders, marketers, and CX executives navigating AI adoption while protecting brand trust, human experience, and long-term differentiation.