Rewriting the Rules: Agentic AI and the New Enterprise Playbook
If you stood in the middle of the buzzing expo hall at Google Cloud Next 2025, you could feel it in the air: something big is changing. The screens were glowing with demos, booths were surrounded by clusters of curious engineers and decision-makers, and even the coffee lines hummed with anticipation. From packed keynotes to breakout conversations on beanbags between sessions, the talk of the town wasn’t just AI—it was agentic AI.
Agentic AI—the idea that software agents can act independently, collaborate with one another, and continuously learn to improve outcomes—has moved from an academic curiosity to a cornerstone of enterprise strategy. And Google made it clear: this isn’t a someday vision. It’s a today priority.
With the launch of Agentspace, the Agent Development Kit, and the Agent2Agent protocol, Google introduced not just tools but an entire ecosystem designed to help enterprises build AI agents that do more than automate—they orchestrate, adapt, and evolve. These agents aren’t chatbots. They’re problem solvers, designed to navigate complexity across business systems with minimal human prompting.
The proof wasn’t just on stage—it was in the real stories being shared. Like Mercedes-Benz, which is integrating Google’s Automotive AI Agent into its MBUX Virtual Assistant. Drivers will soon be able to carry on multi-turn conversations with their cars—navigating traffic, managing schedules, even booking dinner—thanks to real-time access to Google Maps and large language models running under the hood.
Anthropic showcased its enhanced AI assistant, Claude, now equipped with agentic capabilities. Claude can perform iterative, multi-step web queries with citations, improving the depth and accuracy of responses. Additionally, its integration with Google Workspace allows access to Gmail, Google Calendar, and Google Docs, enhancing its utility as a workplace assistant by summarizing meeting notes, identifying action items, and providing document context.
Shopify is leveraging Google Cloud’s agentic AI tools to transform retail experiences. By integrating AI-powered technologies, Shopify aims to personalize campaigns, improve customer insights, and optimize ad spending, helping retailers deliver exceptional customer experiences.
These stories underscore a pivotal moment: agentic AI is not a distant dream—it’s the present reality, reshaping industries and redefining what’s possible.
Evalueserve + Google Cloud: Building for the Future
While the world marvels at what’s possible with agentic AI, Evalueserve is focused on what’s practical—and powerful—right now. At the heart of our work is a simple philosophy: intelligence is only valuable when it drives impact. So we set out to build solutions that combine the transformative capabilities of Google Cloud’s AI ecosystem with deep domain expertise, delivering outcomes that matter.
Suppl.AI: The Supply Chain Agent You Actually Want on Your Team
Supply chains aren’t static—they breathe, bend, and sometimes break. Suppl.AI, built on Google Cloud and enhanced by Evalueserve’s industry acumen, acts like an always-on operations analyst. It integrates real-time data from across logistics, procurement, and external risk signals, applying machine learning to predict bottlenecks, suggest re-routing, and even simulate alternative sourcing scenarios.
In a world where one stuck container can derail an entire product line, Suppl.AI isn’t just optimization. It’s foresight.
IntelliLens: Clarity for CMOs in a Noisy Market
Marketing has become a high-stakes chess match, where speed and insight determine outcomes. IntelliLens gives marketing leaders a strategic edge, combining agent-powered forecasting, real-time market sensing, and audience segmentation into one intelligent decision support system.
Built on Google Cloud, IntelliLens doesn’t just report what happened—it tells you why it happened, and what you should do next. For marketers overwhelmed by dashboards, it’s like replacing static reports with a trusted advisor who knows your KPIs better than your campaign lead.
Looker & BigQuery Migrations: Because Insight Shouldn’t Be a Migration Away
Many businesses get stuck at the doorstep of modernization. Evalueserve has helped organizations migrate to Looker and BigQuery not just smoothly, but strategically. We go beyond lift-and-shift to redesign data models, optimize queries, and unlock real-time insights—often introducing agents that monitor data health and recommend proactive changes.
Think of it as data analytics on autopilot—with a co-pilot who’s read the entire playbook.
DocufAI: Document Processing, Reimagined
Let’s face it: documents are the lifeblood of enterprise workflows—but they’re also a massive source of drag. Docuf.AI transforms this challenge into a competitive advantage. It reads, understands, and structures data from contracts, invoices, forms, and reports—at scale.
But what makes it agentic is its ability to adapt. Trained on your templates and business rules, Docuf.AI learns how your org “speaks” and evolves as your workflows change, cutting hours from cycles and slashing error rates.
Leading the Charge, Thoughtfully
The rush toward agentic AI can feel like a sprint, but the enterprises that succeed are the ones that build with purpose. Evalueserve is proud to partner with Google Cloud to help businesses not just adopt AI, but think agentically—reimagining how intelligence can be embedded into every function, decision, and interaction.
Because this isn’t just about technology. It’s about building organizations that can adapt, anticipate, and act—with the confidence that comes from knowing their AI is working with them, not just for them.
