The Challenge
When water purification systems break down, every minute counts.
But customer support teams were stuck digging through 200-page PDFs. These PDFs were super dense; with abbreviations, tables, and legacy diagrams.
New recruits didn’t know where to look. And even veterans had to skim five manuals to answer one question.
There was no fast way to retrieve a specific setting, configuration path, or error code resolution, especially across different OEMs and site setups.
Support was excruciatingly slow. Customers were frustrated.
An account manager in the field gets a call: A system has gone down at a client facility, and operations are stalled. He opens the document library. Hundreds of specs, configuration sheets, calibration guides all slightly different based on the region, equipment batch, or client setup. He searches using a rudimentarey ‘Ctrl+F’ query. Nothing useful. He calls a senior engineer, who’s swamped. An hour passes before the right setting is found. Meanwhile, the client's water line is still down. This wasn’t a knowledge problem. The data existed. But, no one could access it fast enough.
A Day in the Life: Before Our Solution
An account manager in the field gets a call: A system has gone down at a client facility, and operations are stalled. He opens the document library. Hundreds of specs, configuration sheets, calibration guides all slightly different based on the region, equipment batch, or client setup. He searches using a rudimentarey ‘Ctrl+F’ query. Nothing useful. He calls a senior engineer, who’s swamped. An hour passes before the right setting is found. Meanwhile, the client's water line is still down. This wasn’t a knowledge problem. The data existed. But, no one could access it fast enough.
Pain Points:
- Manuals and product sheets were long, complex, and hard to search
- Abbreviations and tabular formats made traditional RAG unreliable
- Support teams wasted hours searching for answers that should have been instant
- New employees faced steep learning curves
- Delayed resolutions affected SLAs and customer satisfaction