Informatica deepens Google Cloud tie

1/ Informatica said on May 20 it expanded its Google Cloud partnership with two additions: CLAIRE GPT running directly in Google Cloud, and support for Google’s Agent2Agent protocol for Informatica’s CLAIRE agents. (informatica.com) 2/ The company announced the update at Informatica World 2026 in Las Vegas. Informatica said the goal is to bring its “AI-driven data intelligence” into Google Cloud and let its governed data services plug into multi-agent setups across platforms and clouds. (informatica.com) 3/ In practical terms, this is a data-layer story, not just an AI-assistant story. Informatica says data teams can use CLAIRE GPT in Google Cloud to discover assets, enrich metadata, assess quality and resolve governance issues through natural-language prompts. (informatica.com) 4/ The second piece is the more structural one. Informatica said its CLAIRE data management agents will support Google’s open Agent2Agent, or A2A, protocol, which Google developed for interoperability between agents. (informatica.com) 5/ That means organizations building agents on Gemini Enterprise can invoke Informatica’s CLAIRE agents inside those workflows “without custom integration,” according to Informatica. Google has been positioning Gemini Enterprise Agent Platform as a system to build, govern and optimize agents. (informatica.com) 6/ Informatica is framing this under “headless data management.” In a separate May 20 release, the company said it exposes data-management capabilities as reusable governed services that agents can call directly, with native Model Context Protocol support. (informatica.com) 7/ The important operational point: if that model works as advertised, teams do not have to recreate the same business rules in every app surface. Instead of one logic set in a CRM, another in the warehouse, and another in an agent layer, the governed data service becomes the shared control point. This is an inference from Informatica’s description of reusable governed services and agent invocation across platforms. (informatica.com) 8/ That matters most in stacks where account and customer records live in several places at once. Informatica said CLAIRE is now a “fully headless, multi-agent intelligence layer” that can operate across Salesforce, AWS, Microsoft, Databricks, Snowflake and other platforms. (informatica.com) 9/ For GTM and RevOps teams, the implication is straightforward: canonical objects matter more when AI agents and workflow tools all need access to the same customer definitions. If account ownership, lifecycle stage or segmentation logic drift between systems, agents inherit that inconsistency. This is an inference from the multi-platform architecture Informatica described. (informatica.com) 10/ Informatica tied the announcement directly to interoperability. Rik Tamm-Daniels, the company’s vice president of ecosystem and technology alliances, said the additions reflect a “shared commitment” with Google Cloud to make enterprise AI more accessible, trustworthy and interoperable. (informatica.com) 11/ The company also linked the move to Salesforce. Informatica said the Google Cloud announcement aligns with Salesforce’s push for open agent interoperability, and noted Salesforce was a launch partner in Google Cloud’s initial A2A release. (informatica.com) 12/ The broader backdrop is Google’s own agent push. At Google Cloud Next 2026, Google said it introduced Gemini Enterprise Agent Platform and described an “Agentic Data Cloud” architecture meant to let enterprise data move at the speed and scale AI agents require. (cloud.google.com) 13/ So the cleanest way to read this: Informatica is trying to make governed data callable wherever enterprise agents run, while Google Cloud is building the environment where more of those agents will be orchestrated. The test from here is adoption inside Gemini Enterprise workflows and whether customers actually reduce custom integration work. (informatica.com)