A team in a typical company loses, on average, 2 hours a day searching for information. Two hours. Per employee. Multiply that by 50 people and a working year.
In a typical company, documents live everywhere and nowhere. SharePoint, Google Drive, Dropbox, local drives, email attachments, Slack messages, Teams, an internal wiki that nobody has updated in two years. You ask a colleague “where was that returns procedure?” and get three different answers, because everyone knows a different version.
Result: employees give up searching and ask a human. The most expensive expert in the company gets interrupted several times a day by the same question, answering it for the n-th time.
A new hire? Spends the first three weeks looking for things that should be at their fingertips. Every “quick question” to a teammate costs two people 10 minutes each.
How Ragen becomes the layer over all of it
You upload documents once. Whole folders from Google Drive. By drag-and-drop. Directly from email. In bulk. You organise into folders, set permissions, assign to assistants.
From then on, everyone in the company asks their assistant in natural language:
- “How do we issue a corrective invoice for a foreign customer?”
- “How many days of leave does someone get after a year of service?”
- “Who’s responsible for supplier contracts?”
- “What’s our approval process for expenses over €1,000?”
- “What did we agree with customer X at the last meeting?”
The assistant searches the whole base in a second. Returns an answer with a quote. With a link to the source. With context.
Numbers we see at customers
Questions to HR can drop by 60%. Instead of HR answering the same questions about leave, procedures and benefits — employees ask the HR assistant, which answers 24/7. HR answers once, by uploading the document. AI handles the rest.
No more “where was that?” questions to experts. The lead analyst at one company used to be interrupted a dozen times a day by questions that three-year-old documentation already answered. After rolling out Ragen — a few times a day, and only when the documentation was unclear. An hour a day recovered on the most expensive resource in the company.
Documentation becomes alive. When people actually use it through AI, it becomes immediately visible which documents are outdated, which are unclear, what’s missing. The administrator gets a list of “questions the assistant can’t answer” — and knows exactly what to add to the knowledge base.
Scenarios that change how work gets done
A 60-person consultancy. Every project generates 50–200 documents. After 3 years the firm has 50,000 documents, most of them sitting dead. Ragen lets you pull knowledge out of closed projects. A new consultant asks: “How did we approach restructuring in industry X?” — gets a synthesis of 20 projects they wouldn’t have had a chance to read in a month.
The legal team at a manufacturing company. 15 years of contract archives, interpretations, rulings. The question “have we seen a similar case?” used to take half a day. Now it takes minutes — and the answer is more accurate, because it covers things nobody remembers anymore.
Customer service at an e-commerce company. People changed, the knowledge base stayed. New hires get full access to years of solved customer problems. They stop making mistakes that someone already made and fixed.
The most expensive hour in the company
The most expensive hour in a company is the one where an expert, instead of working, answers the same question for the third time that day. Or the one where five people search for the same document, each in a different system. Or the one where a new hire isn’t productive because they don’t know where to look.
Ragen recovers those hours. Not because “AI is great”. Because for the first time your company knowledge is available the way it was supposed to be — actually available.