On this episode of the Jon Myer Podcast, Will Horn — founder, CEO, and Managing Technologist at GDNA — explains why enterprise-grade AI has historically been out of reach for startups and SMBs, and how agentic AI is finally leveling the playing field. Will breaks down GDNA's "listening first" philosophy, the maturity curve businesses move through when adopting AI, and where he sees agentic B2B automation heading next.Key Takeaways🚪 The gap is closing, not gone — Enterprise AI capability used to require dedicated teams and budgets SMBs didn't have; agentic AI now lets small businesses attach directly to their own "ground truth" data and compete on the same level.👂 Listening is creation — GDNA's core philosophy: if you miss foundational alignment in the first 10–15% of a project, no amount of technical execution will fix a misdiagnosed problem.📈 AI adoption has a maturity curve — Most SMBs move from general tools (ChatGPT/Claude) → platform solutions (like Amazon Q) → fully bespoke builds, and the right fit depends on where a business actually is, not where they wish they were.🤝 Trust is the real transformation — The hardest part of adopting agentic AI isn't the tech, it's the behavioral shift of letting an agent take over logic work a person used to do themselves.Timeline00:00 – Intro: why enterprise AI has missed SMBs00:58 – Why enterprise AI keeps missing the companies that need it most02:20 – Attaching directly to "ground truth" data sources04:13 – Why listening first matters more than implementation07:19 – Meeting a business where it actually is09:29 – When companies think they need agentic AI (but don't)10:33 – Cutting through AI tool hype and noise12:09 – What a successful manual-to-agentic transformation looks like14:07 – Inside a typical GDNA strategy session15:30 – Where agentic AI and B2B automation are headed next🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

AI doesn't have a conscience - WE do! Jon Myer sits down with JD, founder of Command Prompt, to discuss the hard truths about AI accountability, open source survival, and why developers must OWN their code, regardless of whether AI wrote it!We explore the elephant in the room: all major AI models are trained on stolen intellectual property. But is that acceptable if it solves bigger problems? JD breaks down AI hallucinations, the concept of "AI slop," why business doesn't care about code quality (only product quality), and how legal contracts will hold developers liable for AI-written code!Plus: The future of open source requires chain of evidence, digital signatures, and human accountability. Students using AI for theses should FAIL. Gen X will never retire because we'll need to validate all this AI-generated garbage. And yes, AI will never truly CREATE - it only regurgitates and responds!🎙️ TIMELINE:0:00 - AI Accountability & Stolen IP Problem2:14 - AI Hallucinations & Code Review Required4:21 - Bad Actors & AI Slop6:36 - Validation Problem (AI Reviewing AI)7:29 - Business Doesn't Care About Code Quality10:31 - Open Source Role & Chain of Evidence13:10 - Power Structure & Who's Accountable14:40 - Assistance vs Dependence Explained15:03 - 20-Year Veterans Can Spot Problems16:01 - Students Using AI Should FAIL18:04 - Gen X Never Retiring (Validation Burden)19:55 - Screen Bans & Critical Thinking23:20 - AI Regurgitates, Never Creates24:35 - AI Can't Have Independent Ideas25:20 - Final Truth: Only Humans Build or Destroy🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization

Community health centers see one in seven Americans — and one in three in rural communities. Yet they operate with tight budgets, fragmented data, a growing shortage of providers, and the same cybersecurity threats facing every health system in the country

In this episode, Jay Modh, Founder and CEO of Intuitive.ai, sits down with Isaiah Nathaniel, CIO and SVP at Delaware Valley Community Health System and CIO Executive Advisor for the National Association of Community Health Systems. Isaiah shares the unfiltered principles driving his transformation strategy — and why trust, not technology, is always his starting point

From early adopter strategies and AI governance to a bold prediction about what the exam room looks like in three years, Isaiah brings the kind of candor and clarity that is rare in healthcare leadership conversations

🏥 Trust first — technology strategy must start with provider trust patient trust and system trust before a single acronym is introduced or adopted

📊 AI is not the data problem — it exposes the data problem — community health centers are data rich but presenting it correctly and governing it responsibly is where the real work happens

🔒 If it does not pass security requirements it does not get to Isaiah's desk — SOC 2 HITRUST bias review and hallucination records are mandatory gates before any AI conversation begins

🧠 No technology is solving governance — governance is a people problem — putting someone in a governance committee does not work if the organization is not ready for the change that governance demands

⏱️ Timeline

0:00 — Introduction — Jay Modh of Intuitive.ai meets Isaiah Nathaniel CIO at Delaware Valley Community Health

0:41 — Why Isaiah is excited about companies like Intuitive helping community health

1:00 — The core principles driving digital transformation at Delaware Valley

1:34 — Trust collaboration and security — the three non-negotiables before any technology

2:27 — Co-design and co-development — building AI with providers not against them

3:06 — Removing access barriers through technology not introducing them

3:47 — The data and interoperability strategy from EHR to population health to AI

5:05 — How Isaiah brings nurses clinicians and operations staff into the vision first

5:33 — Early adopters alpha groups and friendly competition — making AI adoption stick

7:39 — AI is not the problem — data is the problem and here is how Isaiah is solving it

8:55 — How consumer AI like ChatGPT is arriving at the clinic before the system is ready

13:23 — Security is job zero — if it does not pass the gate it does not get reviewed

14:47 — Governance is not a technology problem it is a people and change management problem

16:06 — Isaiah's message to aspiring CIOs — a slow no beats a fast yes

18:36 — Together we achieve apart from that we selfishly perceive — a message to nurses and clinical staff

20:19 — Three-year prediction — no computers in exam rooms wearables ambient AI and saliva-based labs

22:08 — Would Isaiah let a robot perform surgery on him — yes if the error rate is under 5%

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