My AI Diet: Nobody Knows Everything About AI. Here's What I Do.

Nobody has the complete picture — including the people closest to this technology. What they have instead is a practice, and it works at any scale.

AI Transformation Is Still Transformation

The organizations turning AI into value are running a playbook they already know from cloud migration, with one amendment for systems whose behavior keeps changing.

AI Needs an Architect: Building Trust Into Healthcare Workflows

A field conversation with Gary Berman on connecting probabilistic AI to defined workflows, measurable evidence, and accountable execution.

Software Factories: A Field Conversation when code moves at machine velocity

Software Factories: What AI Changes About The SDLC0:00/1308.6236281× Software development is becoming one of the clearest early examples of what happens when AI moves from assistance to delegated execution. In this Summit Evidence AI Field Conversation, I sit down with TensorLake founder Diptanu Gon Choudhury to examine

The Trust Layer: Where Enterprise Healthcare AI Gets Decided

Model quality is commoditizing. The decisive factor is now whether a system can be trusted at healthcare scale. To understand where the market is heading, look closely at the vendors quietly winning enterprise traction right now. 4 trust layers in healthcare0:00/762.3238321× A useful way to understand where

Beyond Human-in-the-Loop: Decision Telemetry for Non-Human Entities

For years, data scientists built trust by decomposing probabilistic systems into measurable tasks. That discipline still matters. But once agents act across tools, workflows, and decisions at machine velocity, task telemetry and analysis alone is no longer a sufficient baseline. Baseline Decision Telemetry0:00/845.5330151× For decades, trustworthy AI

Why AI Adoption Stalls in the Middle, and What Actually Moves it

Most large healthcare organizations have solved the C-suite buy-in problem. The harder problem — the one that actually determines whether an AI program scales or plateaus — are the layers directly below.

The Real Innovation Behind First-Dollar Coverage Wasn't the Pricing — It Was the Behavior

How Surest rewired member decision-making without rewriting provider contracts — and what the next wave of plan innovators is actually competing for.

The Four Pillars of Healthcare AI Transformation

The healthcare organizations making real progress with AI are not the ones running the most experiments. They are the ones building an operating model for intake, readiness, governance, and execution.

CAIO’s First 90 Days in Healthcare: What Works, What Fails

I had have several conversations about AI leadership over the last few month. I recognize the role of IA and Technology leaders are evolving, but there is a structured way to approach this rather than jumping on the "AI train". Copy what CIOs already know what to do.

Voice AI in Healthcare: Why Trust & Governance Must Be First-Class Citizens

Over the past few years, I have evaluated Voice AI across established vendors, Generative AI startups, healthcare incumbents, and I see a field moving fast, but not always safely. Now we will talk about how the answer is about where to focus and how to build trust in healthcare, to move faster.

Launching Haupt.AI

I have launched haupt.ai as a new AI Advising service for folks wants to cut through the AI hype and have a practical path to outcomes.

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About Summit Evidence AI

Why this newsletter exists Summit Evidence AI exists because healthcare leaders deserve more than vendor narratives and conference slides. Every briefing starts with the evidence — research, real deployments, governance outcomes — and distills it into 10–15 minutes of useful signal for executives, data leaders, and practitioners navigating AI in high-