Humanizing Technology: How Agentic AI is Transforming Healthcare and Corporate Strategy

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In this episode, guest Mary Kotch joins the show to discuss the evolving intersection of humanity and technology. Drawing from her extensive career beginning with early data processing to her current role as an AI fellow, Mary shares deep insights into how artificial intelligence is moving beyond simple automation to drive preventative healthcare and streamlined corporate workflows. The conversation explores the practical application of Agentic AI, the importance of data-centric engineering, and strategic advice for both startups and Fortune 500 companies navigating the rapid shift toward an AI-forward future.

Table of Contents

Introduction to Agentic AI Workflows (00:00)

The speaker describes the power of Agentic AI by recounting how they rapidly built a functional Jira alternative and a complete insurance policy workflow from email to rating during a single afternoon.

The Intersection of Humanity and Technology (00:56)

Mary Kotch is introduced and shares her background, reflecting on how her interest in technology was sparked in the 1980s and developed through her education at Penn State.

AI’s Impact on Healthcare and Elder Care (03:13)

Mary discusses her current work with C10 Labs and healthcare startups, highlighting an AI-driven WhatsApp application designed to help the Hispanic elderly population manage medications.

Preventative Care and Real-Time Clinical Data (06:38)

The discussion shifts to how AI is used for risk mitigation and preventative healthcare by aggregating medical data to predict necessary doctor visits and assist clinicians with real-time patient care.

The Adoption Curve and Generational Shifts (09:53)

The speakers analyze the transition toward "dark factories" for software and predict that AI adoption will accelerate as the baby boomer generation retires from major corporations.

Bridging the Gap: Data, Engineering, and Cyber Security (13:14)

Mary emphasizes the critical need for a "data lens" in AI development, noting that many organizations rely too heavily on engineers without sufficient focus on data and cyber security.

The Future of Corporate AI Training and Transformation (18:14)

The conversation explores how organizations should restructure by turning service desk roles into AI trainers and using "pod" approaches to embed AI engineers directly into business departments.

Personalized Software and the Shift in SAS (25:00)

Mary illustrates how AI is challenging traditional software-as-a-service (SAS) providers by allowing users to build highly personalized tools, such as custom underwriting platforms, in a matter of hours.

Strategic Advice for AI Implementation (34:36)

In closing, Mary advises organizations to "slow down" and thoroughly document their current operations before using large language models to remodel their business and save costs.

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