# Langdock vs ChatGPT Enterprise vs Microsoft Copilot vs Open WebUI: enterprise AI workspace comparison

> How to choose between Langdock, ChatGPT Enterprise, Microsoft 365 Copilot, and self-hosted Open WebUI: model independence, GDPR and EU data residency, MCP/API integrations, permission boundaries, and total cost.

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- Language: en
- Published: 2026-10-27
- Markdown URL: https://www.devolute.org/en/insights/open-source/langdock-vs-chatgpt-enterprise-vs-copilot-vs-open-webui.md

## Langdock vs ChatGPT Enterprise vs Copilot vs Open WebUI

Compare enterprise AI workspaces by model choice, data residency, source-permission inheritance, and extensibility.

When European organisations standardize on a company-wide AI workspace, the shortlist almost always narrows to four options: **Langdock**, **ChatGPT Enterprise**, **Microsoft 365 Copilot**, and a self-hosted open-source interface such as **Open WebUI** (backed by **[vLLM, Ollama, or LiteLLM](/en/agency/open-source-ai-infrastructure)**).

Each option solves "give employees a safe chat window." They diverge sharply on **vendor lock-in**, **European data residency**, **how permissions are enforced across connected systems**, and **how much engineering effort is required to run them**.

## Executive summary

- **Langdock** is the strongest fit for European mid-market and enterprise teams that want a turnkey, GDPR-focused, **model-agnostic** workspace (OpenAI, Anthropic Claude, Mistral, Gemini, Llama) with native OAuth permission mirroring across SharePoint, Confluence, Jira, and HubSpot, plus full **MCP** and **Integrations API** extensibility.
- **ChatGPT Enterprise** fits organisations committed specifically to OpenAI's proprietary models and tooling, accepting single-model lock-in and US-parent cloud governance.
- **Microsoft 365 Copilot** fits enterprises whose workflows live almost entirely inside Word, Excel, PowerPoint, Outlook, and Teams—provided their SharePoint permission hygiene is already clean.
- **Open WebUI + self-hosted inference** fits organisations with strict on-premise sovereignty mandates or custom engineering teams that want zero per-seat SaaS licensing and full control over model weights and infrastructure.

## Architectural comparison

| Criterion | Langdock | ChatGPT Enterprise | Microsoft 365 Copilot | Open WebUI (Self-Hosted) |
|---|---|---|---|---|
| **Model choice** | Model-agnostic (OpenAI, Claude, Mistral, Gemini, Llama, custom endpoints) | OpenAI models only | Primarily OpenAI / Azure OpenAI | Any local (Ollama, vLLM) or API model via LiteLLM |
| **Hosting & residency** | EU cloud (ISO 27001, SOC 2 Type II, GDPR) or dedicated/self-hosted enterprise deployment | OpenAI cloud (EU data residency option available) | Microsoft 365 tenant boundaries | 100% on your own Kubernetes or VPS infrastructure |
| **Integration protocol support** | Native OAuth connectors + inbound/outbound **MCP** + REST **Integrations API** | Connectors + custom GPT Actions | Microsoft Graph + Copilot Studio plugins | OpenAI-compatible APIs, Python pipelines, MCP via bridges |
| **Source permission inheritance** | 1:1 OAuth user-permission mirroring + SharePoint sensitivity label policies | Connector-dependent | Inherits Microsoft Graph permissions (exposes over-shared SharePoint files) | Custom engineering required for document-level RBAC |
| **Target user adoption** | Built for business & technical teams alike; guided assistants and prompt sharing | High familiarity for general knowledge workers | Embedded directly inside Office apps | Best for technical teams or organisations with internal AI platform support |
| **Licensing model** | Usage-aware workspace licensing without forced per-seat minimums across all tiers | High per-seat enterprise contract | Per-user monthly add-on on top of M365 licences | Open-source licence; you pay only for compute/GPUs and ops |

## Where each platform wins—and where it breaks

### 1. Model independence vs single-vendor lock-in

In production, no single model provider wins every task: Anthropic's Claude models frequently lead on code generation and complex document drafting, OpenAI models excel at general reasoning, and European or open-weight models (**Mistral**, **Llama**, **[Soofi S](/en/agency/soofi-training-consulting)**) are preferred for sensitive internal data classes.

- **ChatGPT Enterprise** and **M365 Copilot** tie your user layer and prompt assets to a single vendor ecosystem.
- **Langdock** decouples the workspace UI, assistants, and integrations from the underlying LLM—allowing admins to route specific assistants to EU-hosted Mistral or self-hosted endpoints while keeping frontier models available for approved use cases.

### 2. Integration depth beyond Microsoft 365

Microsoft Copilot is deeply integrated into Word, Excel, and Teams, but most companies run heterogeneous stacks: **Atlassian Jira and Confluence** for engineering, **HubSpot or Salesforce** for sales, **[Nextcloud](/en/agency/nextcloud-enterprise-consulting-integration-hosting)** or **[OpenProject](/en/insights/open-source/odoo-vs-openproject-vs-erpnext)** for sovereign collaboration, and custom internal ERPs.

Langdock bridges heterogeneous stacks cleanly through its native OAuth connectors, its **[Integrations API and MCP support](/en/insights/open-source/langdock-integrations-mcp-api-enterprise-guide)**, and seamless handoffs to **[n8n workflow automation](/en/agency/n8n-automation-agency)**.

### 3. The SharePoint oversharing trap

A frequent surprise during **Microsoft 365 Copilot** rollouts is that Copilot surfaces every document a user technically has read access to via historic SharePoint links—instantly exposing forgotten salary spreadsheets or draft M&A folders. Before enabling any enterprise search assistant, we recommend auditing IAM groups and configuring explicit sensitivity-label exclusions.

### 4. When to choose self-hosted Open WebUI (or combine both)

If your organisation processes classified R&D, healthcare, defense, or public-sector data that must never leave your own hardware, a self-hosted stack built on **Open WebUI**, **LiteLLM**, **vLLM**, and **[Keycloak SSO](/en/agency/keycloak-sso-implementation)** gives you complete physical and legal control.

Many enterprises run a **hybrid architecture**: Langdock as the governed, high-adoption workspace for business departments, connected via custom endpoints or MCP to self-hosted inference and internal **[RAG pipelines](/en/agency/open-source-rag-retrieval)** for sensitive domain data.

## Decision checklist for technical leaders

1. **Need fast company-wide adoption across business departments, EU data protection, multi-model choice, and clean Jira/Confluence/SharePoint/HubSpot integration?** Choose **[Langdock](/en/agency/langdock-consulting-integrations-implementation)**.
2. **Need 100% on-premise air-gapped or self-hosted open-source control with zero SaaS dependency?** Choose **Open WebUI + vLLM/Ollama** on your own **[self-hosted AI platform](/en/agency/open-source-self-hosted-ai-platform)**.
3. **95% of your target workflows are inside Excel spreadsheets and PowerPoint decks?** Pilot **Microsoft 365 Copilot** on a small cohort after tightening SharePoint permissions.