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AI platform6–10 weeks to go live

BLAID AI Chatbot

AI capability with complete control of your data — inside your own infrastructure.

The BLAID AI chatbot answers your company's questions from your own documents. It runs in the environment you choose, and it names the source behind every answer it gives.

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About this service

In most companies the knowledge already exists in full — in manuals, in the ERP, in old email threads — and somebody still answers the same question again every week. Public AI assistants do not help with this: they do not know your company, and they are not allowed to see the documents in question. The BLAID AI chatbot closes exactly that gap. It works only on your content, inherits permissions from the systems behind it, and runs wherever you want it — from a German cloud provider to your own data centre.

What's included

Capabilities

  • Context-aware answers to internal questions
  • A named source for every answer, checkable in the original
  • Roles and permissions inherited from connected systems
  • Document analysis and summaries of longer material
  • A scalable AI foundation for further applications

Integrations

  • Internal databases and file shares
  • Microsoft 365, SharePoint and Teams
  • Email systems (Outlook, Exchange)
  • ERP and CRM systems over existing interfaces
  • Single sign-on through your identity provider

How the project runs

Each phase ends with something you can see and judge — not a project that only becomes visible at the end.

  1. Discovery workshop

    We collect the questions people in your company actually ask, and establish which documents answer them. The result is a list of real use cases rather than a technology wish list.

  2. Infrastructure and architecture

    Together we settle where the system runs, how the environment is secured, and which roles it has to know about. This phase ends with the target architecture in writing.

  3. Connecting your data

    The relevant sources are connected and permissions are inherited. Anyone who cannot see something in the source system cannot see it in the assistant either — that gets tested, not assumed.

  4. Pilot with real questions

    A small group asks exactly the questions from phase 01. We measure which answers hold up and tune until the hit rate convinces you.

  5. Rollout and operation

    Rolled out across the company, with an introduction for each team, monitoring, and a named contact. New documents keep flowing in without a new project.

Where it is used

It pays off fastest where many people have recurring questions about a large, grown body of documents.

  • Customer service: answers on products and contracts
  • HR: information on policies and processes
  • Technical support: access to manuals and fault archives
  • Order processing: status questions without asking a colleague
  • Onboarding: new joiners ask instead of searching
  • Proposals: finding an earlier one to work from

What to watch for

Three points where projects like this typically get difficult — and how we handle them.

The server requirements are real

A self-hosted language model needs dedicated hardware. We work the requirement out before the decision and show openly at what point a hosted option costs less than your own servers.

Grown document stores are untidy

That is the normal case and not a reason to stop. Structuring is part of the work — and where it turns out to be substantial it gets planned as its own step rather than quietly absorbed.

Without an introduction, nobody uses it

We plan the team introduction in from the start. An assistant nobody knows about answers no questions, which is why phase 05 is part of the project and not an extra.

Why BLAID for this

Four reasons this differs from buying a standard product off the shelf.

  1. Built in Germany

    Design, delivery and operation sit with a team in Leipzig working under the same law you do.

  2. Fitted to your company

    The assistant knows your terms, your processes and your document landscape — not the average of your industry.

  3. No recurring licence fees to third parties

    You pay for operation and development, not per user per month to an external provider.

  4. One contact, for the long run

    The same team stays responsible after rollout. Monitoring is part of the handover, so a fault surfaces before somebody reports it.

Ready for an assistant of your own?

Let us look at your use case and design a solution that fits it.

  • Advice from specialists

    A conversation with the people who will build the system.

  • Predictable delivery

    6–10 weeks from discovery to going live, with results along the way.

  • Secure and accountable

    GDPR-compliant, logged, and air-gapped if you want it.

What you get

  • Complete control over your data
  • Adapted to your company's own language
  • Integrated into existing workflows
  • No dependency on an external provider
  • Scalable across every department
  • Continuous improvement from your feedback

Free first call · no obligation · an individual solution