- Developers
- Learn how to build guardrails, choose inference locations, and measure agent performance for enterprise applications.
- Business
- Understand how to prepare your enterprise for agentic commerce, embed governance, and create an 'agentic front door'.
This is a solid interview with an industry guest discussing practical applications of AI agents for businesses.
#297 Jeff Lunsford: How Agentic AI Will Redefine Every Digital Interaction
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Craig Smith interviews Jeff Lunsford on the Eye on AI podcast about how agentic AI will transform digital interactions. They discuss building a safe and trusted foundation for AI agents, focusing on responsible data collection, identity management, and providing context for AI models. The conversation covers real-time profiles, personalization, automation, and preparing enterprises for agentic commerce.
Imagine AI assistants that can act for you online, like making purchases or booking appointments. This episode explains how companies can build these smart agents safely. It covers using customer information responsibly so these agents can help you better and faster.
This episode explores the practical implementation of agentic AI, moving beyond theoretical discussions. It's for business leaders and developers aiming to integrate AI agents into customer interactions and operations. Listeners will learn how to manage data, ensure privacy, and build reliable AI systems for commerce. This connects to frontier labs' current focus on deploying AI agents that can perform tasks and interact with users, a key area for companies like Google, OpenAI, and Microsoft.
- HostCraig S. Smith
- GuestJeff Lunsford
- Episode Title: Jeff Lunsford: How Agentic AI Will Redefine Every Digital Interaction
- Show: Eye on AI
- Host: Craig S. Smith
- Guest: Jeff Lunsford
- Length: 48 minutes
- Key Concept: Neutral customer data platform as control plane for agentic systems
Why will agentic AI redefine every digital interaction, and what foundation do enterprises need to make it safe, trusted, and real time? In this episode of Eye on AI, host Craig Smith sits down with Jeff Lunsford to unpack how a neutral customer data platform like Tealium becomes the control plane for agentic systems. We cover how to collect and unify first party data responsibly, enforce consent and identity across channels, and feed the right context to models so agents can act with confidence in the moment. You will hear how real time profiles, event streams, and deterministic identity power personalization, automation, and transactions across web, mobile, ads, email, and customer support. Learn how leading enterprises are preparing for agentic commerce that could double digital interactions, why governance and privacy must be embedded into delivery teams, and which standards enable safe transactions and payments with agents. You will also hear how to build an "agentic front door" for your business, design guardrails and spending allowances, choose where to run reasoning and inference, and measure impact with metrics like conversion rate, ROAS, CSAT, and cost per resolution.
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- Agentic AI
- Jeff Lunsford
- AI systems designed to act autonomously on behalf of a user or business.
- First party data
- Jeff Lunsford
- Information a company collects directly from its customers.
- Deterministic identity
- Jeff Lunsford
- A method of identifying a user across devices or sessions with high certainty.
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Questions people ask
- How will agentic AI redefine digital interactions?
- Agentic AI will power personalization, automation, and transactions across web, mobile, ads, email, and customer support by feeding real-time context to AI models.
- What foundation do enterprises need for agentic AI?
- Enterprises need a control plane for agentic systems, focusing on responsible first-party data collection, consent enforcement, and feeding correct context to models for confident action.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Craig S. Smith.

