- Developers
- Learn how to adapt AI agent development for enterprise-grade security, scalability, and compliance.
- Business
- Understand the practical steps and considerations for integrating AI agents into your business operations.
This episode offers a practical, in-depth discussion on a critical aspect of AI adoption: enterprise deployment challenges and solutions.
From AGENTS.md to Enterprise Deployment
Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Practical AI hosts Daniel Whitenack and Chris Benson interview Nick Kuhn from VMware Tanzu Platform about deploying AI agents in enterprise environments. They discuss the necessary changes for security, compliance, scalability, and reliability, covering agent build packs, gateways, sandboxing, and lessons from platform engineering. The episode offers advice for organizations adopting agents and explores the future impact on enterprise teams and software development.
This episode explains how to take AI tools, like smart assistants, from a single computer and make them work safely and reliably for large companies. It covers the important steps businesses need to take to use these tools effectively and securely in their daily operations.
This episode bridges the gap between AI agent prototypes and real-world enterprise deployment. It's for developers and IT professionals grappling with the practical challenges of integrating AI into business systems. By discussing security, compliance, and scalability, it touches on themes relevant to how frontier labs like Google Gemini and Microsoft Copilot are approaching enterprise adoption, moving beyond consumer-facing applications to robust, secure solutions.
- HostDaniel Whitenack
- HostChris Benson
- GuestNick KuhnVMware Tanzu Platform
- Guest: Nick Kuhn from VMware Tanzu Platform
- Show: Practical AI
- Length: 49 minutes
- Topic: Deploying AI agents in enterprise environments
- Key Areas Discussed: Security, compliance, scalability, reliability, agent build packs, MCP gateways, shared memory, identity, sandboxing
Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.
AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform engineering. Nick also shares practical advice for organizations adopting agents today and looks at what the future of AI could mean for enterprise teams and software development.
Featuring:
- Nick Kuhn – LinkedIn
- Daniel Whitenack – Website, GitHub, X
- Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
Sponsors:
- Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets
- Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai
Resources and Events:
- agent build packs
- Nick Kuhn
- pre-packaged components for building AI agents
- MCP gateways
- Nick Kuhn
- secure connection points for AI agent communication
- sandboxing
- Nick Kuhn
- isolating AI agents to prevent interference or security risks
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Questions people ask
- What are the key considerations for deploying AI agents in enterprises?
- Enterprises must focus on security, compliance, scalability, and reliability when deploying AI agents, moving beyond simple prototypes.
- What specific technologies are discussed for enterprise agent deployment?
- The episode covers agent build packs, MCP gateways, shared memory, identity, and sandboxing as key components for enterprise integration.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.

