Sigma’s architecture: the runtime for AI

If an agent can already query your warehouse directly, why do you need an analytics platform at all? Some version of that question comes up in almost every customer conversation now: “I’ve got Claude and Snowflake. Why do I need Sigma?”

In this ebook, Phil Ballai, Enterprise Architect at Sigma, makes the case for the architecture underneath the interface. The job has always been to plan, explore, verify, act, and share, and an agent that stops at the first answer has done a fifth of it. He explains what has to be true underneath an agent before you can trust it to act on your business.

What's inside:

• The five parts of the job (plan, explore, verify, act, and share) and why skipping one leaves it unfinished
• The three pillars of an AI runtime: one interface for every skill level, live and warehouse-native by default, and governed enough to let an agent act
• How Sigma Agents work: four ways to call an agent, one governed core, and writeback with an audit trail
• Why an answer without an artifact is a dead end, and how one governed connection carries it everywhere the business works
• Four Sigma Agents use cases running on the runtime today, from business intelligence to headless agents

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