When data speaks your language: How Gemini Enterprise is helping businesses move faster

Most business leaders today will tell you that AI is important. A smaller number will tell you they have figured out how to make it useful. The gap between the two is not a question of ambition or budget. It is, more often, a question of knowing which problem to hand to an AI agent first, and which decisions to keep firmly in human hands. That question sat at the center of the keynote by Nikhila Gudipati, Customer Engineering Leader at Google Cloud, at the grand finale of MSME Sparks 2026.

The event itself carried weight as a setting. MSME Sparks 2026, YourStory's flagship celebration of Indian MSMEs, spent four virtual days examining the forces reshaping how these enterprises grow, from digital transformation and access to capital to the role of AI in day-to-day operations. The grand finale, held on June 26 at ITC Gardenia, Bengaluru, was the week's only in-person gathering, bringing together founders, industry leaders, and ecosystem enablers to close out the conversations the virtual sessions had opened.

Gudipati's keynote, titled ‘Smarter Decisions with AI,’ was where the week's running thread on technology came into sharpest focus.

She opened with a number that reframed the problem neatly. "254 is the average number of business applications that a typical company works with," Gudipati said. With data sitting across dozens of siloed tools, the cost is not just inefficiency. It is the toggle tax, the constant mental and operational load of switching between applications to arrive at any single coherent view of the business. Gemini Enterprise, she argued, is designed to eliminate that tax by acting as a central hub for creating, publishing, and governing AI agents across all of an organization's workflows.

When the agent does the legwork

Two live demos gave the room a concrete view of what this looks like in practice. In the first, a contract lifecycle management agent was prompted to flag expiring client contracts. Within the same conversation, it pulled data from CRM and compliance systems, surfaced the highest-risk accounts by revenue, and drafted renewal outreach, with the option to schedule or automate follow-ups entirely.

"It's not just about asking based on prompts," Gudipati said. "It's actually the ability to execute on your behalf, so that you can focus on the more strategic and important things for your business."

The second demo tracked a retail operations VP trying to understand why one store was underperforming. Drawing on point-of-sale records, inventory data, and employee records, the agent diagnosed three root causes, including low customer satisfaction and high employee turnover, and then offered to schedule a follow-up with the store manager, pre-loaded with the relevant data points. Investment firms running multi-agent systems to help analysts research 5X more companies, or large manufacturers cutting HR query resolution to near-automation while halving defect turnaround times, are examples of what this trajectory looks like at scale.

Starting small, staying in control

For MSMEs in the room trying to find their own entry point, Gudipati's advice was to start with decisions that are low stakes and reversible.

"What are some of those reversible decisions that you can make that you can hand off to an agent, so that you are able to focus again on the critical and strategic aspects of your role?"

On the question of security, often the unspoken concern in any AI conversation, her answer was direct: "The key differentiator for Gemini Enterprise is security. It is the most boring thing. It is the least fabulous thing that companies worry about, but it is actually our biggest differentiator."

Gemini Enterprise offers a 30-day free trial available directly through Google Search, a low-stakes, reversible starting point that mirrors exactly the logic Gudipati had spent the session making a case for.