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Local AI for psychotherapy practices: documentation and assessor reports in your own practice

Therapy content is subject to confidentiality under Section 203 StGB and Art. 9 GDPR. We set up a local platform with limited data sources, user permissions and documented access paths, without requiring your own IT team.

  • Local processing with controllable data paths
  • Turnkey without your own IT team
  • AI Cube as an assessable starting point instead of a blanket sizing assumption
Reviews
WZ-IT AI Cube
Cloud Wolke HerausforderungServer NachhaltigkeitIT Beratung Service Consulting SoforthilfeTimo Wevelsiep Robin ZinsExperten für Innovation Migration AWSHetzner Hosting zuverlässig

Customers from mid-sized business, industry and the public sector, in Germany and internationally

  • Stadtwerke Brühl
  • DGHO e.V.
  • solarwerkstatt berlin
  • Krüger Dirndl
  • ABCO Water Systems
  • Golem.de
  • EVADXB
  • nextGYM
  • AInergy
  • ml&s
  • Odiseo Solutions
  • Annota
  • ARGE
  • SweetConnect GmbH
  • Aphy AG
  • CORGOS
  • Rekorder
  • SolidProof
  • Yonju
  • Keymate
  • Paritel
  • Mr. Clipart
  • Millenium
  • Negosh
  • Führerscheinmacher
  • BTI
  • Deutsche Gesellschaft für Datenschutz
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The situation

Confidentiality and AI in psychotherapy: the starting point

  • Session documentation and reports to assessors cost time after every hour.
  • Therapy content falls under Section 203 StGB. Cloud processing adds another processor to the chain, with a DPA, a duty to vet and an access risk.
  • Often a single practice without an IT department: the solution has to arrive turnkey and local.

Use cases

AI in psychotherapy: use cases and what changes

These examples describe workflows. Data sources, permissions and professional review are defined for the concrete use case; review and approval stay with you.

Session and progress documentation

Today

After each session, progress is written up from notes.

With local AI

A structured documentation draft is built from bullet points for you to review and complete.

Drafts for reports to assessors (application procedures)

Today

Reports to assessors in the application procedure are written from scratch alongside running the practice.

With local AI

A draft report is prepared from history and progress data. You remain responsible for content and wording.

RAG research in specialist literature and guidelines

Today

Specialist literature and guidelines are looked up individually when needed.

With local AI

Questions about your own literature and guideline collection are answered with a source reference.

  • Structuring of history and therapy planning

Our approach

Advise. Build. Operate. From one team.

Sovereign AI is a lifecycle, not a device purchase: advice, build and operations come from one team.

  1. 01

    Advise & design

    Workshop, sizing, data classification and §203 contract framework. We understand your stack, professional software and compliance requirements before we recommend.

  2. 02

    Build & integrate

    On-premise build on your hardware, RAG on your documents with access control, integration into your professional software. Plus the DPA and, on request, a written secrecy obligation under Section 203 StGB.

  3. 03

    Operate & maintain

    Updates, monitoring, model upgrades and RAG upkeep in ongoing operation. For the AI Cube, AI Cube Care runs with the device for the first twelve months and is cancellable monthly after that; handover to your team and knowledge transfer included.

Legal framework

Local AI for GDPR and Section 203 requirements

We configure and operate the local AI platform for the agreed GDPR and Section 203 scope, as an AI Cube or on your own infrastructure. This includes controlled data paths, limited permissions, documented maintenance, the appropriate DPA and, on request, written secrecy obligations for the people involved. Legal evaluation of the specific use remains with the controller and its advisers.

  • What §203 StGB prohibits

    §203 StGB protects confidential information entrusted by clients, patients and other parties. The necessary involvement of contributing persons is permitted. What matters is that access is limited to what is necessary, the people involved are bound to secrecy and the complete data and maintenance path is controlled.
  • Why cloud AI is the problem

    With public AI services, inputs and documents leave your own infrastructure. Whether a service is suitable in a specific case therefore depends not only on a DPA, but also on data flows, subprocessors, access permissions and the actual use.
  • Why local processing helps

    On-premises inference, local vector search and internally operated interfaces keep technical processing in your controlled environment. This reduces external data paths and subprocessors and allows access to be limited precisely.
  • Managed service with a secrecy obligation

    When we provide setup or operations as a contributing person, the people involved accept a written secrecy obligation and are instructed about the criminal consequences. Where personal data is involved, this is combined with a DPA, limited administrative rights and documented maintenance paths.

What we deliver for it: AVV (data-protection layer) · Written secrecy obligation (secrecy and instruction on criminal consequences) · Maintenance and access concept (necessary rights, logging and controlled paths).

This content is general information and not legal or tax advice. The specific implementation under §203 must be reviewed professionally on a case-by-case basis.

AI Cube

AI Cube as a local starting point for the practice

The platform provides local AI chat and dedicated knowledge areas without requiring an in-house platform team. Documentation workflows, audio processing or professional-software connections are separate integrations and are only implemented after professional and technical review.

Delivered ready to use within 10 working daysfrom €7,999 excl. VAT one-timeDevice, setup, briefing and shipping

AI Cube

  • Compact AI appliance on NVIDIA GB10 with 128 GB unified memory and 1 TB NVMe
  • Open WebUI with knowledge bases, groups and roles
  • A local language model, a fast model for short tasks and an embedding model
  • Hardened system, firewall, HTTPS on the local network
  • Remote maintenance through NetBird, logged and switchable
  • Handover documentation, a briefing and shipping to Germany, Austria and Switzerland
  • Two-year manufacturer warranty

AI Cube Care

Care
from €349.90 excl. VAT / month

Frequently asked questions about AI and data protection in psychotherapy

Answers to the most important questions

Reviews & projects

What clients say about working with us

From a knowledge base with an AI assistant and local AI integration to data sovereignty and ongoing operations.

AI Platform

We were looking for a secure yet easy-to-use alternative to the large American providers and came across WZ-IT. WZ-IT advised us on choosing the right models and implemented the integration for us. Beforehand, we were able to try everything out calmly on a test instance. Today WZ-IT runs Open WebUI for us on our own domain, with a convenient Microsoft login and open-source models hosted by a German provider. Our team can now work productively with AI without resorting to external tools or shadow AI. Working together is straightforward, and questions are answered quickly and clearly. With WZ-IT we also have a partner at our side for further AI projects. (translated)
Carl-Frederic KornHead of E-Commerce & Online Marketing, Krüger Dirndl GmbH
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Knowledge Management & AI

The knowledge from many years in the solar industry lived in the head of our former managing director, and it still lives in the heads of our employees today. We wanted to secure it, not as a folder full of notes, but in a way that lets us ask questions in daily work and get reliable answers. WZ-IT advised us from the start and weighed different approaches and knowledge management systems against each other with us before we decided. What was built is a custom knowledge base with an AI assistant that brings together conversations, notes, documentation and manuals: from the platform through onboarding our team to support in operation. Conversations are transcribed and facts are extracted; we review and correct everything ourselves before it is stored, because we do not want to trust an AI blindly. The system runs in our own environment, and the data stays with us. What surprised us was how efficient it was: WZ-IT used existing open-source software and extended it specifically for our requirements, instead of selling an expensive custom build from scratch, as is often usual with IT service providers. Timo and Robin understood our actual problem, preserving knowledge during the generational handover, and implemented it step by step: from the proof of concept through setup and validation with our own data to productive operation, explaining everything clearly along the way. Next, we want to extend this to the knowledge of our employees, so that this does not depend on individual people either.
Joshua von AmelnManaging Director, solarwerkstatt berlin GmbH
See knowledge transfer

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International

Selected projects

WZ-IT designs, develops and operates infrastructure and software for clients in Germany and internationally. We deliver projects remotely and continue supporting them in ongoing operations after go-live.

Enquiry

Assess local AI for Psychotherapy

Describe the workflow and data that should be processed locally or in a controlled environment.

  • Straight with Timo and Robin - no sales team, no pitch
  • A professional assessment of your situation
  • Concrete next steps for infrastructure, software or AI

The conversation is free and non-binding.

WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.
Jakob ÖschlbergerInno7 GmbH
Timo and Robin, founders of WZ-IT

What support do you need?

One concrete workflow is sufficient for the initial assessment.

We usually respond within one business day. Please do not submit confidential content.

WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.
Jakob ÖschlbergerInno7 GmbH