Agent-Ready Architecture: Giving AI The Context It Needs

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Thursady, Feb 5, 2026
3:00 PM ET (12:00 AM PT) | 60 mins

AI agents are moving fast—but enterprise reality is pushing back. Nearly 90% of AI pilots stall before production, not because the models fall short, but because the architecture underneath can’t carry the load.

Rising costs, fragile pipelines, and unclear business value are symptoms of a deeper design issue.

In this episode of DM Radio, Shawhin Mosadeghzad and Jeff Hainsworth unpack what it truly means to build agent-ready systems.

The discussion centers on the three non-negotiables of agent-ready architecture: context, governance, and reliability, and why most legacy data platforms quietly undermine all three.

The session explores how semantic intelligence turns raw data into usable context, why zero-movement architectures matter for security and performance, and which real-world architectural patterns actually survive contact with production.

If AI agents are on your roadmap and you’d prefer fewer experiments and more systems that hold up, this conversation is designed to sharpen how you think about data, trust, and scale in an AI-first enterprise.