New Way Now: Customer Zero: How Google Cloud Consulting accelerates agentic AI
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New Way Now: Customer Zero: How Google Cloud Consulting accelerates agentic AI
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Featured in this video: Nitin Bandugula, Director of Incubation Services at Google Cloud Consulting. Executive summary: Learn how Google Cloud Consulting acts as ""Customer Zero"" to accelerate agentic AI transformation for enterprise clients. Nitin Bandugula, Director of Incubation Services, explains how his team faced the challenge of agent sprawl and built an internal Agent Catalog engine to curate, organize, and validate high-ROI agent workloads.
By testing brand-new AI technologies internally before taking them to market, Google Cloud Consulting helps enterprise customers identify the right use cases, evaluate ROI, and deploy autonomous agents faster. Discover how this hands-on incubation approach enables Google Cloud Consulting to create a new way to bring agentic AI workloads to enterprise organizations.
Challenge: As teams across Google Cloud began rapidly building autonomous agents, Google Cloud Consulting faced internal agent sprawl without a centralized mechanism to organize, evaluate, or scale agentic workloads. To effectively guide enterprise clients through their own AI transformations, the team needed a way to test, organize, and prove agentic technology internally first.
Solution: Google Cloud Consulting developed the Agent Catalog—a crowdsourced engine that organizes, curates, and drives targeted, high-ROI agent use cases. Operating as ""Customer Zero,"" the Incubation Services team collaborates directly with Google engineering and product groups to build and test brand-new agentic AI technologies from ground zero before delivering them to enterprise clients.
Results: By navigating the agentic AI transformation process internally, Google Cloud Consulting equips teams with pre-validated, high-impact agents that demonstrate tangible business value. This ""Customer Zero"" model eliminates deployment friction, accelerates customer readiness, and establishes a faster, more reliable way to bring agentic AI workloads to enterprise organizations globally.
Key takeaways and highlights from our interview with Nitin Bandugula: → “Eat your own dog food, as they say.” → “My team's charter primarily is to work with new products introduction. We work with the engineering and product teams to take brand new products into our customer, and make sure that the products land well with our customers.” → “We ran into this issue where there were a lot of agents being built by everybody, and there was no way for us to organize that properly. So we created this engine where we are crowdsourcing on one end, but we're also driving specific use cases that we want to drive with our customers in the market.” → “We are customer zero for ourselves when we build something from ground zero, using the technologies that our customers are meant to use, it's going to be the same experience that we go through, and then we prep our customers much faster than they would otherwise be.” → “Google Cloud Consulting is creating a new way to bring agents to our customers much faster.
Learn more→ Google Cloud Consulting: https://goo.gle/4gYrF2h
By testing brand-new AI technologies internally before taking them to market, Google Cloud Consulting helps enterprise customers identify the right use cases, evaluate ROI, and deploy autonomous agents faster. Discover how this hands-on incubation approach enables Google Cloud Consulting to create a new way to bring agentic AI workloads to enterprise organizations.
Challenge: As teams across Google Cloud began rapidly building autonomous agents, Google Cloud Consulting faced internal agent sprawl without a centralized mechanism to organize, evaluate, or scale agentic workloads. To effectively guide enterprise clients through their own AI transformations, the team needed a way to test, organize, and prove agentic technology internally first.
Solution: Google Cloud Consulting developed the Agent Catalog—a crowdsourced engine that organizes, curates, and drives targeted, high-ROI agent use cases. Operating as ""Customer Zero,"" the Incubation Services team collaborates directly with Google engineering and product groups to build and test brand-new agentic AI technologies from ground zero before delivering them to enterprise clients.
Results: By navigating the agentic AI transformation process internally, Google Cloud Consulting equips teams with pre-validated, high-impact agents that demonstrate tangible business value. This ""Customer Zero"" model eliminates deployment friction, accelerates customer readiness, and establishes a faster, more reliable way to bring agentic AI workloads to enterprise organizations globally.
Key takeaways and highlights from our interview with Nitin Bandugula: → “Eat your own dog food, as they say.” → “My team's charter primarily is to work with new products introduction. We work with the engineering and product teams to take brand new products into our customer, and make sure that the products land well with our customers.” → “We ran into this issue where there were a lot of agents being built by everybody, and there was no way for us to organize that properly. So we created this engine where we are crowdsourcing on one end, but we're also driving specific use cases that we want to drive with our customers in the market.” → “We are customer zero for ourselves when we build something from ground zero, using the technologies that our customers are meant to use, it's going to be the same experience that we go through, and then we prep our customers much faster than they would otherwise be.” → “Google Cloud Consulting is creating a new way to bring agents to our customers much faster.
Learn more→ Google Cloud Consulting: https://goo.gle/4gYrF2h
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