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.

In a world where people are turning to AI for therapy, what does it mean to build a safe, ethical AI for mental healthcare? This week on AI Explained, David Samwel and Appolonia Cornolius talk with Gijo Mathew, Chief Product Officer at Spring Health, to discuss his work at the forefront of this challenge.

Gijo shares how his personal experience as a father has shaped his professional mission to break down barriers to mental healthcare. He reveals how his past work creating security standards led to the development of a new ethics benchmark for AI, and why AI's ultimate purpose is to "superpower" clinicians and transform transactional care into a continuous, on-demand service.

This episode is a must-listen for anyone interested in the intersection of AI, strategy, and the future of healthcare.

Topics include:

• From SAML to Vera MH: The story behind creating a new ethical framework for AI in mental health.

• The "Human-in-the-Loop": Why human therapists are the "quarterback" of care and how AI empowers them to be more present.

• The 10x Bar: Setting a higher bar for AI to ensure patient safety and prevent over-reliance.

• Transforming Care: The vision for moving from transactional, 50-minute sessions to continuous, destigmatized, and always-on support.

Listen now and discover how ethical AI is poised to revolutionize the healthcare industry.