What do nuclear reactors and healthcare credentialing have in common? According to Brett Dooies, Head of Product at Verifiable, the answer lies in safety culture and the "human in the loop".

In this episode, we explore how Brett took frameworks from the zero-failure world of atomic energy and applied them to AI-driven provider networks. We dive deep into Verifiable’s work with Humana, discussing how they achieved a massive 98% reduction in turnaround time by separating "signal from noise" and automating the clean 80% of work.

We cover:

• The Nuclear Mindset: How "pre-job briefs" and safety analysis translate to designing trustworthy AI agents.

• Inverting the Workflow: Moving from a process where humans start the work to one where AI handles the heavy lifting and humans manage the exceptions.

• Pilot to Production: Overcoming "analysis paralysis" and knowing exactly when your system is ready to scale.

• Campy.ai: Why Brett believes "tinkering" with side projects is essential for product leaders to keep up with the speed of GenAI.

If you are stuck in a POC or trying to figure out how to safely deploy agents in a regulated industry, this conversation is the blueprint you’ve been looking for.

The era of theoretical AI is over. We are moving from "cool demos" to production reality, but that transition requires a toolset that prioritizes trust, compliance, and scalability.

In this episode, we break down the most critical post-Dreamforce platform releases and what they mean specifically for Healthcare and Life Sciences organizations. We explore why the conversation is shifting from "what can we build?" to "how do we control it?"

In this episode, we cover:

• Agentforce Vibes: Why "vibe coding" isn't just a developer tool—it’s a way for Operations leaders to prototype ideas using actual Salesforce metadata, bridging the gap between concept and code.

• The Hybrid Builder (Agentforce Script): The feature Pharma has been waiting for. We discuss how to combine natural language reasoning with strict, deterministic "If-This-Then-That" logic to ensure agents follow legal and compliance guardrails every single time.

• Observability & Data 360: Moving beyond basic metrics to deep session tracing, allowing teams to debug specific conversation turns and measure real business value like deflection and resolution rates.

• Agentforce Grid: How to stress-test your prompts against hundreds of records simultaneously to catch hallucinations before they reach a patient.

• Intelligent Context: Solving the "unstructured data" problem by giving admins control over how agents chunk and retrieve data from complex documents like insurance cards.

Ellery Fisher, SVP and CIO at McKesson Medical-Surgical, discusses the modern trend of blending CIO, CTO, and CDO responsibilities. He explains how this unified approach—rooted in the goal of being a customer service company —is essential for modernizing the healthcare supply chain. Learn why organized data is the biggest prerequisite for AI success , how to use both deterministic and non-deterministic systems for complex problem-solving , and the crucial role of curious business partners in accelerating tech adoption.