Langdock for Mid-Sized Companies: Features, Costs and an Honest Verdict

Many mid-sized organisations are dealing with the same problem right now: employees use ChatGPT, Gemini or Claude privately for work tasks — uncontrolled, without data protection guarantees and outside IT oversight. This shadow AI problem is not just a compliance issue. Confidential customer data, internal calculations and HR information end up with providers that offer no robust GDPR protection.

Langdock, a company founded in Berlin in 2022, positions itself as the answer: a central platform for secure enterprise AI that gives employees regulated access to the most powerful AI models — with EU hosting, access controls and admin reporting. This article examines whether the platform delivers on its promises and for which SMEs the move makes sense.

What Is Langdock?

Langdock describes itself as a 'Platform for AI Adoption'. The core idea: instead of subscribing to a separate tool for every AI model, employees get a single interface with access to more than 40 language models — from OpenAI GPT-5.5 to Anthropic Claude Opus 4.7, Google Gemini 3 Pro and open-weight models like Llama 4. The platform is deliberately not tied to any single vendor; the organisation controls centrally which model is used for which task.

According to an independent test report by florian-gahn.de, more than 7,000 companies use the platform, with around 100,000 monthly active users. A well-known large-scale deployment: Merck runs Langdock internally under the name 'myGPT Suite' with more than 33,000 active employees. For mid-sized companies, it is relevant that the solution is accessible from a single user and does not impose a minimum licence size.

The Five Core Features at a Glance

Chat and Model Access

Chat is the entry point for most teams. Employees choose the right model for each task without managing their own provider accounts. File upload, OCR, web search and data analysis are included as standard. Billing for the models actually used runs through Langdock, with a ten per cent surcharge on provider prices. At moderate usage volumes this is negligible; at high usage of large models, this cost factor should be factored into calculations.

Assistants and Agents

Organisations can create specialised AI assistants connected to internal documents and data sources — a sales assistant with access to CRM data, an HR assistant based on the internal handbook, or a support agent that knows the product documentation. Crucially, these assistants are reachable directly from Slack or Microsoft Teams without switching applications. This significantly increases usage frequency compared to a separate browser tab.

Workflows and Automation

The visual workflow builder enables multi-step AI automations with branching logic, human-in-the-loop approvals and connections to external systems. A typical entry-level example: automatically classify incoming support requests, route them to the right contact and draft a first response. The Workflows Starter tier is included in the base plan; larger automation volumes require a separate Workflows plan.

Integrations

Langdock connects natively with common business tools. Particularly important is so-called permission mirroring: existing access rights from source systems are carried over 1:1 — an employee only sees in Langdock the documents they are actually authorised to access in SharePoint or Confluence. This prevents accidental data leaks that can easily arise with manually configured integrations.

• Slack and Microsoft Teams — AI directly in the chat channel, no browser tab switch needed
• Salesforce — customer data as context for sales assistants and quote templates
• Jira and Confluence — make project documentation and tickets accessible for AI
• SharePoint and OneDrive — securely integrate internal documents into assistants
• Notion — knowledge base as context for department-specific assistants
• Google Workspace — for mixed Microsoft-Google environments, common in mid-sized companies

Governance and Data Security

All data is processed and stored in Germany on Azure infrastructure. Langdock holds ISO 27001 certification and is SOC 2 Type II audited. Enterprise data is not used to train language models. Configurable data retention policies, an admin dashboard for usage and cost control, and compliance rules for automated checks complete the security package.

Concrete Use Cases for Mid-Sized Companies

Langdock delivers its greatest value where repetitive, text-based tasks are structured and distributed across the entire team. The following use cases have proven particularly viable in practice — provided the introduction is supported by clear IT consulting and rollout guidance:

• IT help desk — employees ask a specialised assistant frequent IT questions; it resolves standard problems immediately and routes complex requests to the right contact. This noticeably reduces ticket volume for the IT department.
• GDPR and compliance documentation — an assistant based on internal data protection policies answers employee questions and helps draft compliant process descriptions and consent texts.
• Customer communication and quoting — sales staff use a CRM-connected assistant to create quotes, follow-up emails and meeting briefs significantly faster.
• Knowledge base and onboarding — new employees find answers to internal questions directly via an assistant, without interrupting colleagues or searching through lengthy documents.
• Translation and international correspondence — translate multilingual proposals, technical manuals or customer emails and adapt them to local formalities, without an external translation service.

Before You Deploy: Checklist for SMEs

• Data protection and legal — which data will flow into Langdock? Check whether a data processing agreement (DPA) is in place with Langdock and which data categories (customer data, HR data, trade secrets) may pass through which model.
• Licence and total costs — calculate not just the seat price (from €25/user/month) but also the 10 per cent surcharge on model token costs at higher usage volumes. Use the free 7-day trial to measure realistic usage volume.
• Adoption strategy — without structured onboarding, usage rates typically remain at around 20 per cent according to practical experience. Plan role-specific training sessions and appoint internal champions per department before rolling out.
• Integration path — which tools (CRM, document storage, communication) should be connected first? Start with the system that has the highest usage frequency — typically Slack, Teams or SharePoint.
• Alternative review — if your company runs entirely on Microsoft 365, compare Langdock seriously with Microsoft 365 Copilot before making a decision.

Pricing: What Langdock Really Costs

Langdock publishes its pricing transparently at langdock.com/pricing. Entry-level access with the Business Standard plan is manageable at €25 per user per month — with a 20 per cent discount on annual billing. Note: this price covers only platform access. The costs of the AI models actually used come on top with a ten per cent surcharge. For a company with 50 employees, this results in approximately €1,250 per month in seat costs alone, plus variable model costs.

Advantages of Langdock

• EU data sovereignty without compromise — hosting in Germany (Azure Frankfurt), GDPR-compliant, ISO 27001 certified, SOC 2 Type II audited: enterprise data is not used for model training. For DACH companies this is often the decisive advantage over US-based alternatives.
• No vendor lock-in — switch between GPT, Claude, Gemini and open-weight models without changing platforms. If one provider raises prices, the company can switch to a more affordable model without changing the workflow.
• Permission mirroring prevents data leaks — access rights from source systems such as SharePoint or Confluence are carried over exactly. Employees only see what they are actually authorised to access — without manual configuration work for each integration.
• Scalable from single user to enterprise — the low entry price and flexible seat logic allow starting with a small pilot team without needing to change platforms as the company grows.
• Solve shadow AI, not ban it — instead of prohibiting AI use, companies offer a sanctioned, GDPR-compliant alternative that is measurably safer than uncontrolled private tool use.

Disadvantages and Limitations

• Additional costs from the 10 per cent surcharge — at high usage of large models such as GPT-5.5 or Claude Opus, token costs plus the surcharge add up noticeably. Companies with very high AI volumes should calculate total cost of ownership before committing.
• Adoption does not happen by itself — the platform is not plug-and-play. Without targeted training, department-specific templates and internal champions, usage rates typically remain at around 20 per cent rather than the possible 80 per cent achievable with structured enablement.
• No single tenant below 1,000 seats — companies that require fully dedicated infrastructure for regulatory reasons can only book single-tenant from 1,000 seats. For the typical SME range (50–500 employees) this rarely matters, but may be relevant in certain sectors.
• Not the strongest choice in a pure Microsoft ecosystem — companies running entirely on Microsoft 365 and requiring deep Office integration (Word, Outlook, Excel, Teams Copilot) are better served by Microsoft 365 Copilot for those specific use cases.

Langdock or an Alternative? A Direct Comparison

The tool choice is rarely the decisive problem — the adoption strategy is. If you are unsure which platform fits your own IT stack and what a realistic rollout plan looks like, a structured technology assessment can provide support.

Verdict: Who Should Use Langdock?

Langdock is one of the most mature enterprise AI platforms in the German market. For mid-sized companies with 50 to 500 employees, a mixed tool landscape and GDPR as a hard requirement, the combination of model agnosticism, EU hosting and permission mirroring is hard to beat. Companies running entirely on Microsoft 365 should seriously compare Microsoft 365 Copilot — Langdock is not automatically the better choice there. And anyone rolling out the platform without an adoption strategy ends up paying for an expensive GPT front-end that most employees barely use.

An AI platform does not decide success — the adoption strategy does. Langdock provides the technical foundation; whether it has impact depends on how it is introduced.

Frequently asked questions

Is Langdock GDPR-compliant?

Yes. Langdock processes data exclusively in Germany on Azure infrastructure, holds ISO 27001 certification and is SOC 2 Type II audited. Enterprise data is not used to train language models. A data processing agreement (DPA) is available.

What does Langdock cost for a company with 50 employees?

With the Business Standard plan (€25/user/month), that is €1,250 per month or around €12,000 on an annual subscription (20% discount). Model costs come on top with a ten per cent surcharge, varying with usage intensity. For power users — for example in sales or the legal department — the Max Seat plan at €99 per user is worth considering.

Can I integrate Langdock with Microsoft Teams?

Yes. Langdock offers a native Teams integration so employees can use AI assistants directly in chat. For companies running entirely on Microsoft 365 and needing deep integration into Word, Outlook and Excel, a comparison with Microsoft 365 Copilot is still recommended.

What is the typical usage rate after rollout?

Without structured enablement, usage rates typically remain at around 20 per cent of employees according to practical experience. With role-specific training, defined use cases and internal champions per department, usage rates of up to 80 per cent are achievable. The adoption strategy is therefore at least as important as the choice of platform itself.

Is there a free trial of Langdock?

Yes. Langdock offers a free 7-day trial without a credit card. During the trial period, all platform features and €5 of model credit are available. The trial phase is well suited to measuring realistic usage volume and piloting one or two concrete use cases.

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This article was created with AI assistance and editorially reviewed.