Case Studies

From Data Swamp to Digital Clarity: An Energy Company’s Quest for Intelligent Material Management The energy sector is the lifeblood of our modern world. Powering cities, driving industries, and fueling our daily lives. But behind the scenes there exists, in nearly every organization, a battle against a mess of inconsistent material data. This is the challenge that many energy companies face when managing their essential materials. Our story begins with a mid-sized energy company, a vital player in keeping the lights on and the energy flowing. Like so many in their industry, they were grappling with an ever-growing crisis. Their material data was a mess, and it was only getting worse. The ‘Cost of Business’ annual write-off keeps getting larger.

Case Study – Navigating the Chessboard of AI Late in 2024, a global enterprise faced a challenge that is all too common in business: critical knowledge was trapped in silos, scattered across vast and unwieldy legacy systems. Technical manuals detailing intricate machinery, safety reports outlining compliance protocols, maintenance logs tracking years of wear, and customer communications rich with insights, all these vital pieces of their operation were locked away in disparate systems, costing hours of productivity each day and stifling collaboration across a sprawling network of teams.  What began as a straightforward research project to identify the best AI for document discovery soon unveiled a deeper, more pressing issue, one that demanded far more than a Band-Aid solution. This is

From Paper Mountains to AI Insights: How a Japanese Insurer Automated Records Think about the insurance business. It’s built on managing risk, and for ages, that meant managing mountains of paper. We’re talking stacks upon stacks of claims forms, handwritten accident reports, dense policy documents, and countless other physical records. Even today, you’ll find offices dealing with this. Just the sheer amount of paper has always been a massive headache for insurance companies everywhere. Now, dealing with all this information isn’t optional. It’s absolutely essential for managing claims properly, spotting potential fraud, and figuring out risks. But doing it the old-fashioned way – manually – is incredibly slow. It takes a lot of people a lot of time, it costs