‘By combining Google’s agentic infrastructure with IBM’s deep industry expertise and proven delivery frameworks, we are ensuring joint customers can move beyond pilots to deploy and govern production-grade AI agents across their entire cloud environment,’ says Kevin Ichhpurani, Google Cloud’s channel chief.
Google Cloud launched a new practice that combines its Gemini Enterprise AI Agent technologies with IBM’s Consulting Advantage platform to help customers quickly scale AI into production and enable joint clients to deploy AI agents on Google Cloud.
“This partnership significantly expands the pool of expert Google Cloud consultants in the market to meet surging demand for AI,” said Kevin Ichhpurani, president of global partner ecosystem at Google Cloud, in a statement.
“By combining Google’s agentic infrastructure with IBM’s deep industry expertise and proven delivery frameworks, we are ensuring joint customers can move beyond pilots to deploy and govern production-grade AI agents across their entire cloud environment,” he said.
IBM consultants can now design, build and govern AI agents directly on Google Cloud.
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The companies said this new Google Cloud-IBM offering represents a multibillion-dollar opportunity.
Google’s new Google Cloud Practice combines IBM industry expertise and AI-powered consulting platform—designed to help teams design, build and deploy AI solutions faster using agents—with the Google Cloud Gemini Enterprise Agent along with Google capabilities in cybersecurity and data.
“Anytime we can optimize Gemini Enterprise is good for us and our customers,” said Patrick Pugh, global and U.S. alliance and ecosystem leader for Google partner PwC.
“The pilot and experimentation phase is somewhat over, so now we really are getting into the time of, ‘How do you find the technology, the metrics, the measurements, etc. to drive true outcomes and really change companies?’ These partnerships, this new technology, these advancements, etc. you really are seeing that reality come to life now,” Pugh said. “It’s exciting what Google’s is empowering its partners with.”
Google-IBM AI Integration Details
IBM is creating a portfolio of industry-specific AI agents built on IBM Consulting Advantage and optimized for Gemini Enterprise.
These agents will support use cases for banking, government, retail, telecommunications, energy, security, insurance and life sciences to help clients automate workflows, improve decision-making, and accelerate autonomous operations powered by Google Gemini models.
IBM methods of prebuilt assets, reusable agents and transformation methods are being combined with Google Cloud’s agent runtime, governance controls and enterprise safety features.
The ultimate goal is to help joint customers deploy AI agents and AI solutions faster.
“What Google is doing with architectural expertise, with security, with speed that we’ve not seen before is bringing together these different technologies so clients can really make the best of what’s out there to create AI experiences and change the ways they work,” said PwC’s Pugh.
The AI Era Is ‘Multiparty Ecosystems,’ Google-IBM’s Priority Areas
Google’s openness and willingness to team with other vendors to drive AI into production for millions of customers is the correct strategy in the AI era, Pugh said.
“The reality of the world now is multiparty ecosystems,” he said. “Something that’s been so great with Google is their approach to teaming with others. That is one thing that’s been incredibly helpful for us because our clients have multiple stacks. They have a lot of tech in there. They’re all trying to figure out how to bring it together.”
Some of the Google-IBM priority areas include helping clients build foundations that support AI systems, rather than pilots, by combining IBM’s industry knowledge and AI assets with Google Cloud’s Gemini Enterprise Agent Platform and BigQuery.
On the cybersecurity front, the collaboration aims to modernize security operations for clients by offering AI‑driven defense and security capabilities to strengthen readiness and accelerate response.
In terms of enhanced AI-powered workloads, Google integrated Gemini with IBM watsonx Orchestrate to improve decision automation and agent intelligence, and into watsonx.data to give clients more flexible ways to generate insight to support smarter applications.
Google Cloud generated $20 billion in revenue during the first quarter of 2026, representing an increase of 63 percent year over year.
The Mountain View, Calif.-based cloud giant now has an annual run rate of $80 billion, while its parent company Alphabet currently has a market cap of $4.33 trillion.
