Fiduciary grade AI sets the bar as Thomson Reuters and Snowflake bring governed intelligence to the professions
Professionals who carry personal liability for their decisions — lawyers, tax accountants, auditors — cannot afford AI that gets it wrong. As enterprises accelerate deployment of agentic systems, the firms serving those professionals are discovering that fiduciary grade AI — intelligence built on governed, authoritative data — is not a constraint on adoption; it is the very thing that makes high-stakes AI possible.
Thomson Reuters Corp., which has built its enterprise AI and data platform on Snowflake to deliver trusted intelligence at scale, is demonstrating what fiduciary grade AI looks like in practice. The company’s data estate — spanning more than 37,000 governed tables and 350 databases — provides the foundation for AI tools its legal, tax and audit customers can stake their reputations on, according to Bala Kasiviswanathan (pictured, right), vice president of developer and AI experiences at Snowflake Inc.
“All these tools for AI are not real until they are on a governed data platform,” Kasiviswanathan said. “Thomson Reuters is a great proof of how they spent years building that trusted governed data foundation — over 37,000 tables, 350 databases. And that foundation allows them to do some amazing things, and at a speed at which they want to innovate.”
