By Sachin Mohan · AIM Media House
FactSet announced a strategic partnership with Google Cloud on June 30, 2026 to build agentic AI workflows that are not just capable, but auditable and defensible enough to operate inside regulated financial environments.
The partnership is explicitly built around the requirement that AI outputs in financial services need to be fully sourced and traceable, a constraint that eliminates most general-purpose AI deployments from consideration for investment decision-making, deal advisory, and regulatory reporting, according to the press release.
"AI is fundamentally shifting how financial professionals access data, derive insights, and make decisions," said Sanoke Viswanathan, CEO of FactSet.
"Together with Google Cloud, we are putting trusted financial data and advanced AI capabilities to work, empowering our clients with more intuitive, connected, and intelligent agents." Three Workstreams, One Architecture The partnership is built around three distinct but connected workstreams.
The first embeds Google's enterprise Search and Gemini model capabilities directly into FactSet's Workstation platform via the Gemini Enterprise Agent Platform, adding deep research functionality and multi-modal experiences. The second workstream runs in the other direction .
FactSet's MCP and agent sharing functionality will be integrated into Gemini Enterprise, deepening the financial intelligence available to users of that platform. This workstream builds on an existing collaboration between FactSet and Google DeepMind announced earlier.
For the third, FactSet and Google Cloud plan to jointly develop a new generation of agentic workflows using the Gemini Enterprise Agent Platform, designed specifically to improve efficiency, execution, and decision-making across portfolio operations, deal advisory, and corporate finance, according to the press release.
These are exactly the functions where the auditability requirement is most acute.
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