We don’t write about what AI could do. We write about what’s a real problem in your company today — and what Ragen does about it.
Most articles about AI open with “revolution”, “transformation” and “the future of work”. This one starts differently.
If you run a company with its own product documentation, operational procedures or an archive of expert opinions — you have five very specific problems. Each one costs you money and risk. Each one is measurable in hours, invoices and incidents.
Below, we describe those five problems. No marketing fluff, no “revolution” talk. If you recognise yourself in at least two of them, we pick the conversation back up at the end. If you don’t recognise any of them, close the tab and save yourself ten minutes.
1. Company knowledge is everywhere and nowhere
How it looks day-to-day
The spec for that 2022 product was in an email. Or in SharePoint. Or only Klaus from manufacturing knows it — but Klaus is on holiday until Monday.
A new sales rep spends their first three months asking the whole team about things that are documented — but scattered across five drives, three versions of the intranet and a Slack workspace from 2021. Juniors at a law firm hunt for a precedent that “someone once wrote about”. Service techs ring around colleagues to find out whether a given fault has been fixed before.
Experts — the most expensive people in your company — spend 20–30% of their day doing archaeology instead of the work you actually pay them for.
Why it’s genuinely a problem
This isn’t an organisational problem; it’s a financial one. If you have ten people on €3,500 gross a month who lose a quarter of their time searching for information, you’re burning roughly €100,000 annually in staff costs alone — before lost opportunities, extended onboarding and team frustration even come into the picture.
An ISO rollout, team turnover, the loss of a key person — each of these moments exposes the same truth: the company’s knowledge exists, but it isn’t managed.
What Ragen does about it
Ragen indexes what you already have — Google Drive, SharePoint, emails, PDFs, datasheets, legal opinions. An employee asks a question in natural language and gets an answer in seconds, with a link to the specific document that answer is based on.
“What are the parameters of valve KZ-45 in the hot-water variant?” → answer + link to the datasheet, March 2024 revision.
“Have we already handled a case involving a missed deadline for returning an advance payment under a contract for work?” → answer + citation from a 2022 legal opinion + link to the case folder.
2. Your team already uses ChatGPT with company data — and that should worry you
How it looks day-to-day
A sales rep pastes a chunk of a proposal into ChatGPT to “polish the wording faster”. HR drops a candidate’s CV in there for a summary. Somebody pasted a full master services agreement with a key account to “check whether the clause is standard”.
Nobody’s acting in bad faith. It’s simply convenient, and the email saying “we don’t use ChatGPT with company data” works for about two weeks.
Why it’s genuinely a problem
Because GDPR, NIS2 and trade secrets aren’t concepts you want to explain after an incident. A customer data leak, personal data winding up in a foreign model’s training set, loss of informational advantage — these aren’t hypotheticals; they’re scenarios playing out in European companies every week.
The opposite scenario is just as bad: you switch off public LLM access for employees, and they end up working more slowly than competitors who didn’t.
What Ragen does about it
Ragen gives your team the same convenient experience as ChatGPT — chat, follow-up questions, summarisation, document-based drafting — with two differences that change everything for the CEO and the Head of IT.
- Company data never leaves the EU and never feeds model training.
- The team works with your company’s knowledge, not with “last year’s internet”. Answers are grounded in your documentation, not in what the model happens to remember.
The employee gets the tool they wanted. You get the control you need. Nobody has to explain an incident that isn’t going to happen.
3. Experts answer the same question for the 50th time
How it looks day-to-day
The technical director gets the third email this week asking the same thing about assembly parameters. The head accountant explains the rules for booking foreign business travel for the fifth time. Customer support fields the same warranty questions, even though it’s all in the T&Cs the customer received with their invoice.
The most expensive people in the company are acting as a human search engine.
Why it’s genuinely a problem
Two problems in one. First: an expert charges €50–100 per hour and is answering a question that’s already in the documentation. Second: an expert who spends every day answering ten identical questions becomes the bottleneck — and eventually leaves, “because this wasn’t what I signed up for”.
In professional services, we see it most often: the senior has no time to run cases because they spend all day briefing juniors. In manufacturing: the shift lead can’t get off the phone because every new operator calls about the same thing.
What Ragen does about it
Ragen handles the “first line” of answers to questions whose answer is already in your documentation. The expert steps in where they’re actually needed: unusual cases, strategic decisions, judgement calls.
A junior, a sales rep, a service tech or a line operator asks a question and gets an answer with a citation to the specific document. If something is out of scope, Ragen openly says “based on the available documentation I can’t give you a definitive answer” and points to the responsible person.
The expert gets hours back every day. The junior learns faster, because the answer arrives in ten seconds rather than “when Mark’s back from holiday”.
4. An audit demands “show me where you got that from”
How it looks day-to-day
A generic chatbot will give you an answer, but it won’t tell you where it came from. That’s fine for coffee-table small talk. For an ISO audit, a NIS2 inspection, a DORA review, a customer dispute, an internal post-complaint investigation or a regulatory enquiry — it isn’t enough.
You need to know: which document, which version, who approved it, who had access to it, when the AI assistant answered, to whom, and with what.
Why it’s genuinely a problem
Because NIS2 and DORA aren’t “something we’ll look at later” any more. For companies covered by either — and there are far more of them across the EU than most boards assume — a lack of traceability is a real financial and personal risk for directors.
And regardless of regulation: if a customer disputes a quote and you can’t reconstruct on what basis the sales rep put it together, you lose more than the argument — you lose credibility.
What Ragen does about it
Every Ragen answer includes links to the source documents and the specific passages it was built from. Not “with some probability” — concrete pages, concrete paragraphs, concrete file versions.
- Full audit log: who asked, what they asked, when, what they got, from which sources.
- Access control per department and per document: the finance team doesn’t see HR cases; an external advisor doesn’t see strategy.
- Source citation is built into the product, not bolted on. In regulated industries that’s a requirement, not a feature.
5. Vendor lock-in and the US SaaS risk
How it looks day-to-day
The board says: “Let’s roll out AI.” IT picks a US tool — technically excellent, intuitive, great integrations. Six months later it turns out that:
- Company data is processed in the US region or a “global” one.
- Invoices are in dollars, so your cost swings with every FX move.
- The DPIA was drafted and filed quietly, because nobody wants to sign off that the transfer will hold up to scrutiny.
- Exporting data to an alternative provider means rewriting half the deployment from scratch.
Why it’s genuinely a problem
For a company under NIS2 or DORA, that isn’t a “commercially justified trade-off”. It’s a risk of having the whole project disqualified during an inspection. For service firms working with regulated clients (banks, insurers, public administration, healthcare), it’s the reason their client is declining to sign the next contract.
And even if regulation doesn’t apply to you directly: tying your company’s core knowledge infrastructure to a single US SaaS vendor isn’t a decision you want to defend to your supervisory board two years from now.
What Ragen does about it
Ragen is built with EU compliance in its DNA, not bolted on at the end.
- Full architecture in the EU: vector stores, language models, app hosting, backups. No “external transfers”, no exceptions.
- Invoicing in EUR from an EU entity. Data processing agreement in English, drafted by lawyers who understand European companies. A separate Polish entity is available for companies that invoice in PLN.
- No vendor lock-in at the model layer: Ragen can work with different LLM providers — if one goes down or changes policy, you switch without rewriting integrations.
- On-premise or private-cloud deployment is available for customers for whom “the EU” isn’t tight enough.
Who this problem is most real for
Ragen works anywhere you have documented company knowledge. In practice, we see three industries where the return on deployment is fastest and easiest to measure.
B2B manufacturing and technical distribution
Thousands of datasheets, dozens of variants, complaint history going back years. A sales rep checks the parameters of a 2019 product mid-call with a customer. A service technician finds the replacement procedure from their phone. The complaints desk works out within a minute whether the same fault has occurred before and how it was resolved. Ragen pays back fastest here, because the cost of “we didn’t find it in time” is immediate and visible in margin.
Professional services
Law and tax firms, accounting practices, management consultancies, engineering and design offices. Expert knowledge is the product. Every consultant works from an archive of precedents, opinions and templates. Professional secrecy and GDPR aren’t optional — they disqualify any tool that can’t meet them. Source citation isn’t a nice-to-have; it’s a regulatory requirement.
Logistics and B2B e-commerce
Logistics operators, transport companies with fleets, B2B sales with extensive after-sales support. Procedures have to be available 24/7 — including for a driver at 2 a.m. B2B customer service works with the full commercial history of each partner. The board has an analytical assistant on top of operational reports.
What Ragen isn’t
Because this matters too.
- Not a BI system or a real-time transaction dashboard. That isn’t a RAG use case.
- Not a magical knowledge generator. If knowledge lives only in people’s heads and nothing is documented, Ragen has nothing to answer from.
- Not “a cheaper ChatGPT”. It’s an AI Assistant that knows your company — which is why it’s worth what it costs.
Recognised your company in at least two of these problems?
Then the conversation makes sense. Thirty minutes, no pitch deck, no forced demo.
We talk about your documentation, where it lives today, who creates it and who uses it. We work out whether a Ragen pilot pays off for you now — even if the honest answer is “not yet, come back in six months”.
→ Check the readiness checklist
Or even simpler: forward this text to the person in your company who knows problem no. 1 or no. 3 first-hand. If they nod at both — set up the call together.