About the Company

A leading manufacturer and distributor of power solutions, equipped with a state-of-the-art manufacturing facility backed by world-class R&D capabilities. The company offers a comprehensive range of products, including generator sets, enclosures, power management solutions, and control panels, suitable for all types of industries.

The Challenge: Running a Growing Business on Fragmented Data

At this power solutions company, four critical engines of the business, Sales, Production, Quality, and Procurement were constantly generating a massive amount of operational data. Orders were booked, units rolled off the production line, quality checks were logged, and vendor invoices were processed. On paper, it looked like a well-oiled machine.

But behind the scenes, a different story was unfolding.

Each department pulled its own extracts from the ERP system into departmental spreadsheets, and those sheets rarely spoke to each other. When leadership asked a simple question, "How are we performing this quarter?", the answer wasn't a click away. It was a multi-day scramble of emailing spreadsheets, cross-checking numbers, and reconciling formats across teams.

The gaps were hard to ignore:

• Fragmented visibility: There was no single source of truth. Every cross-functional report meant manually stitching together data from multiple files and teams.
• Slow decision cycles: Even routine performance summaries took hours of manual effort, so leadership was often reacting to trends and anomalies days after they'd already happened.
• Inconsistent reporting: Without a unified data layer, different departments arrived at different numbers for what should have been the same metric, quietly eroding confidence in the data itself.
• Limited analytical capability: Frontline managers and executives couldn't independently query or explore the data, even simple, ad hoc questions had to be routed through IT and analytics teams to pull and prepare, turning them into a permanent bottleneck.

This company's leadership recognized that this wasn't just an inconvenience, it was a structural constraint on how fast and how confidently the business could grow. They needed a way to centralize business intelligence, cut out the manual overhead, and put data directly into the hands of the people making decisions. That search led them to Gemini Enterprise.

The Solution: Building an AI Layer That Meets the Business Where It Is

Searce's team of solvers designed an integrated AI enablement stack on Gemini Enterprise that worked with what was already there, the ERP data, the spreadsheet habits, the Google Workspace environment, and quietly transformed it into something far more powerful.

• Enterprise AI Search: Searce configured Gemini Enterprise with Google Workspace connectors, enabling semantic search across every document, spreadsheet, and report stored in Google Drive. Suddenly, users didn't need to know exactly which folder or file held the answer, they could just search, and the right data would surface.
• Secure Access via Google Groups (IAM): To make sure this new visibility didn't come at the cost of control, Searce implemented Identity and Access Management through Google Groups. Every user and team could only access the data relevant to their function, role-based governance and compliance, built in from day one, without adding friction for the people using it.
• No-Code AI Agents for Analysis: For each of the company's business functions, Searce built custom AI agents using Gemini's no-code capabilities. These agents work quietly in the background, autonomously handling:
  • Performance trend analysis across sales cycles and production outputs
  • Quality variance tracking and defect pattern recognition
  • Procurement spend analysis and vendor performance summaries
• Automated Insights & Dashboards: Finally, the AI assistants configured by Searce began generating summaries, visual dashboards, and narrative reports directly from this unified data layer — delivering insights straight to business leaders without having to wait for an analyst. Reports that once took hours to prepare were now available on demand.

The Impact: From Data Scramble to Data-Driven Confidence

The shift in how this company's leadership works with data has been transformational:

• Leaders can now ask plain-language questions, like "What were our top-performing product lines last quarter?", and get instant answers with charts.
• Manual time spent on routine reporting cut by 70%, freeing up 10–15 hours for the teams that used to own it.
• Approval turnaround time reduced from 2–3 days to a couple of hours.
• Approval efficiency improved by 50%, as automated data eliminated manual reconciliation errors.
• A single, consistent cross-departmental view of enterprise performance that is trusted.

By meeting this company exactly where they were, working with their existing ERP data and familiar tools, Searce avoided the need for a costly data migration or infrastructure overhaul. What emerged instead was an intelligent, secure, and scalable AI layer that empowers every business function to make faster, more confident decisions. As this company continues to grow, the Gemini Enterprise foundation Searce has put in place is built to scale right along with it.