After years of scattered pilots, companies are adopting more disciplined approaches to artificial intelligence, guided by enterprise demands for proof, performance and productivity. At the forefront of this shift, Google Cloud partners are embedding agentic systems and modular platforms into core business operations — without sacrificing oversight.

In practice, these partners are advancing AI innovation through industry-specific solutions and enterprise-grade outcomes. The focus has clearly moved from short-term cost savings to long-term innovation, reshaping how companies evaluate their cloud providers, according to Shelby Johnston, channel sales leader for the North America partner ecosystem at Google Cloud.

“Right now, what we’re seeing is quite an evolution … customers are not choosing a cloud provider for cost efficiency anymore,” Johnston said. “They’re choosing a cloud provider as an innovation partner. And we’re really seeing customers come to Google because they’re choosing a partner for the future of their AI within their enterprise.”

During the Google Cloud Partner AI Series event, theCUBE’s John Furrier spoke with leaders in consulting, systems integration and retail. They explored how Google Cloud partners are navigating AI adoption across industries and operationalizing agents through vertical-specific solutions. (* Disclosure below.)

1. Google Cloud partners such as CDW push enterprise AI beyond early deployments

Partner-led growth now depends on interoperability and full-stack integration to connect siloed enterprise data, making it possible to scale AI adoption and show return on investment quickly, according to Johnston and Simon Anderson, senior vice president of cloud at CDW LLC. Generative AI is now generally deployed in more than 80% of customer environments in at least one business function, Anderson added. This underscores how rapidly the technology is embedding itself into day-to-day enterprise operations, as well as the growing importance of partnership alignment.

Catch the full story on theCUBE.

2. Perficient applies agent-based methods to modernize legacy systems

For many enterprises, the difficulty in AI adoption lies in working around incumbent systems. Google Cloud and Perficient Inc.’s partnership illustrates how middleware agents can sit on top of entrenched systems — such as mainframes — to pull the right data into decision-ready workflows. But beyond just integration, the companies that are getting AI right focus on reversing the traditional tech stack, right-sizing controls and building an AI-ready workforce, according to Samrah Khan, director of system integrator partnerships at Google Cloud.

Check out theCUBE’s complete interview.

3. KPMG and Google Cloud scale enterprise AI with adoption-first execution

The partnership between KPMG LLP and Google Cloud is shifting AI from strategy to execution by investing in enterprise-wide Gemini adoption and evolving operating models toward agents, according to Aaron Reinitz (pictured, left), director of cloud AI go-to-market for North America strategic industries at Google Cloud, and Mark Shank (right), principal and Google platform leader at KPMG. KPMG’s hands-on adoption and ability to deliver value at scale gives the firm credibility because chief executive officers are less focused on tool features and more on tangible results, Reinitz explained. The partnership reflects a broader push among large enterprises to integrate generative AI more deeply into core operations rather than treating it as a standalone initiative.

Watch the full interview on theCUBE.

4. Tredence advances agentic AI adoption in end-to-end retail

Few industries in the Google Cloud partner ecosystem feel the pressure to translate AI investment into measurable returns more quickly than retail. That’s exactly why the sector offers a clear test case for how Google Cloud and Gemini can turn integrated data into insights that improve supply-chain efficiency and marketing ROI, according to Morgan Seybert, chief business officer and head of retail at Tredence Inc. Intelligent agents go beyond chatbots by taking actions, and their effective deployment requires industry-savvy services partners, Khan added. What is clearly emerging is not simply smarter software, but a broader operating model in which algorithms shape how retailers allocate capital and manage risk.

Get the full story on theCUBE.

5. Datatonic and Google Cloud bring discipline to AI deployment

As an AI-focused consultancy firm, Datatonic Ltd. often works with customers who are struggling to bring consistency to fast-moving AI initiatives. In that environment, most AI use cases only succeed when companies return to first principles — prioritizing execution over experimental novelty, according to Valentin Cojocaru, global head of AI at Datatonic. Google has had the underlying technology for years and is now taking it to market more effectively as Google Cloud partners move faster on AI, according to Mike Shea, head of partner co-sell for U.S. enterprise at Google Cloud. In practice, this allows customers to standardize deployment processes and reduce friction as AI initiatives expand.

Check out theCUBE’s complete interview.

Here’s the complete video playlist from SiliconANGLE’s and theCUBE’s coverage of the Google Cloud Partner AI Series event:

(* Disclosure: Google LLC sponsored this segment of theCUBE. Neither Google nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE