Langdock vs. Microsoft Copilot: Your Guide to Sovereign AI in 2026

Langdock in the Enterprise Stack: The Comprehensive Guide to M365, Microsoft Copilot, and Sovereign AI 2026

Status: May 15, 2026. Substantiated with primary sources (Microsoft, Workday, Anthropic, OpenAI, CyberSecurityNews, Sacra) — see Sources at the end of the post.

Any European company considering a Generative AI strategy in 2026 cannot ignore two names: Microsoft 365 Copilot as a productivity AI deeply integrated into the Office stack — and Langdock, the Berlin-based platform that consistently positions itself as a model-agnostic, EU-sovereign orchestration layer.

At first glance, both platforms solve similar problems: employees should be able to chat with company knowledge, create documents, draft emails, automate research, and shorten repetitive workflows. On closer inspection, however, they pursue very different philosophies — and for many DACH companies in 2026, the answer is not "either/or," but a conscious combination.

This guide is a source-based assessment as of May 2026. We will look at Langdock's functionality, the M365 integration, Wave 3 of Microsoft 365 Copilot, the Copilot Studio Release Wave 1/2026, the regulatory dimension (EU AI Act, GDPR), as well as concrete use case scenarios.

TL;DR — Key Takeaways (May 2026)

• Langdock is a Berlin-based Enterprise GenAI platform with model choice, EU hosting, and workflow layer. Series A/B funded (according to Sacra), headquartered in Berlin, focusing on DACH and Western Europe.
• Microsoft 365 Copilot Wave 3 has been live since early May 2026 and brings three central building blocks: Cowork, Agent Mode, and Agent 365 (see ProServeIT analysis and Microsoft Tech Community).
• Microsoft Copilot Studio (Release Wave 1/2026) delivers improved agent governance, intelligent workflows, and deeper app integrations (Microsoft Blog, Release Plan).
• Both platforms are not mutually exclusive. Many DACH companies combine M365 Copilot Wave 3 for in-app productivity with Langdock as an organization-wide, sovereign AI hub.
• Security topic May 2026: On May 9, 2026, CyberSecurityNews published three critical Microsoft 365 Copilot vulnerabilities, which Microsoft says have now been completely fixed (CyberSecurityNews). This strengthens the argument for a defense-in-depth strategy with an additional sovereign AI layer.
• Model Landscape May 2026: GPT-5.5 (OpenAI, April 2026), Claude 4 Opus 4.7 (Anthropic), latest generation Gemini (rollout by Google ongoing in May 2026) — all three are addressable via Langdock's Model Switch.

What is Langdock?

Langdock is an Enterprise GenAI platform founded in Berlin that acts as a model-agnostic abstraction layer over leading language models (OpenAI, Anthropic, Google, Mistral, Open-Source) and connects them with enterprise data, identity systems, workflows, and agents. The platform focuses on EU data sovereignty (GDPR/EU AI Act), model selection per use case, and a visual agent and workflow builder. The target group is medium-sized businesses and corporations in the DACH region as well as BeNeLux, France, and Scandinavia (Sacra, innFactory comparison).

What is Microsoft 365 Copilot Wave 3?

Microsoft 365 Copilot Wave 3 is Microsoft's third generation of the Copilot platform and has been available since the beginning of May 2026. The Wave shifts the focus from individual prompt/response interactions to autonomous, multi-stage workflows. Three core features characterize Wave 3: Cowork (continuous human-agent collaboration), Agent Mode (independent multi-step execution in Office apps), and Agent 365 (central governance and security for all Copilot agents in the tenant). Sources: Microsoft Tech Community, ProServeIT.

What's New in May 2026?

A quick overview of the most important movements before we dive deep.

Langdock — Updates from the Latest Roadmap

• Model Switch between GPT-5.5, Claude 4 (Opus 4.7 / Sonnet / Haiku), current Gemini generation, Mistral Large, and fine-tuned Llama variants — controlled by cost, latency, and task type (Sacra, tldv-Review).
• Langdock Agents with long-chain reasoning, iterative tool usage, and sandboxed code execution for autonomous file and API operations.
• PII Redaction at the Ingestion Point and private deployment options for particularly strict GDPR scenarios.
• Consumption-Oriented Pricing Components: Transition from a pure seat model to a combination of per-user socket and compute billing for complex agent workflows (Workativ-Pricing-Übersicht).
• Expanded EU Hosting Options with data residency in Germany, France, and the Netherlands.

Microsoft 365 Copilot — Wave 3 (May 2026)

• Cowork: Continuous, persistent collaboration between users and Copilot agents within Word, Excel, PowerPoint, Teams, and Loop.
• Agent Mode: Copilot can independently perform multi-step tasks in Office apps (e.g., document restructuring, data analysis reports, presentation drafts) — with traceability and intervention options.
• Agent 365: A central control and security layer that captures all Copilot agents of a tenant: identity, permissions, audit, lifecycle (Microsoft Tech Community).
• Outlook Extensions (May 10, 2026): Copilot Insights, Teammates Calendars, and auto-mapped Calendars — Outlook becomes the control center for AI-powered scheduling and meeting preparation (Windows Latest).
• Living Canvases / Persistent Workspaces: Copilot Pages become collaborative workspaces with live components and multi-agent drafts (analyst assessment).

Microsoft Copilot Studio — Release Wave 1/2026

• Enhanced Agent Governance Framework: Granular IT admin controls over what agents can see, do, and who they are allowed to speak for (Microsoft Blog).
• Intelligent Workflows with Agentic Loop Architecture: Multi-stage goals with persistent state are autonomously executed — including pauses for human approvals.
• Live Data Connectors to SAP, Salesforce, Workday & Co.: Push-based events instead of reactive polling — directly from source systems into agent workflows (Release-Plan).
• Marketplace Push: Workday brought the Sana Self-Service Agent for HR and Finance into Microsoft 365 Copilot on May 13, 2026. Employees ask questions like "How many vacation days do I have left?" or "How do I submit my travel expense report?" directly in the Copilot chat and receive answers from the Workday HR and Finance data (Workday Newsroom).

Security Disclosure (May 9, 2026)

On May 9, 2026, CyberSecurityNews published a report on three critical vulnerabilities in Microsoft 365 Copilot that allowed sensitive data to be spied on via manipulated documents in SharePoint and OneDrive (CyberSecurityNews, GBHackers). Microsoft claims to have completely closed the gaps — no user action required. For regulated industries, the incident sharpens the discussion of whether a defense-in-depth architecture with an additional sovereign AI layer such as Langdock makes sense as a risk hedge.

Why is Langdock relevant in 2026?

Founded in Berlin in 2023, Langdock has become one of the most prominent European Enterprise GenAI platforms within just a few years. The core idea: Instead of binding companies to a single LLM provider, Langdock creates a unified abstraction layer over the leading language models and integrates them with company data, identity systems, and tools.

Three strategic pillars shape the product as of May 2026:

1. Multi-Model Orchestration with Model-Switch. Via a unified interface and API, users can choose between GPT-5.5, Claude 4 (Opus 4.7, Sonnet, Haiku), the current Gemini generation, Mistral Large, and fine-tuned open-source models — or define routing rules based on cost, latency, and task type (Sacra). If you are looking for a classification of which model is suitable for which purpose, you can find it in our Practical Guide to Model Selection 2026.
2. Sovereign Data Handling. Hosting in EU regions, zero-retention agreements with the model providers, PII redaction at the ingestion point, encryption at-rest and in-transit, optional private cloud and on-premise deployments.
3. Workflow and Agent Layer. Specialized assistants and autonomous agents can be built via a visual agent builder — with access to internal Knowledge Bases, tools, sandboxed containers, and APIs.

While many platforms were still advertising "ChatGPT for enterprises" in 2024, the market has become noticeably more professionalized in 2026. RBAC, SSO/SCIM, Audit Logs, Data Classification, Model Governance, and EU AI Act Reporting are standard requirements in 2026 — and this is precisely where Langdock has expanded its strength.

Function Overview: What Langdock Can Actually Do

1. Chat Interface with Model Selection and Model Switching

The basis is a ChatGPT-like web interface where users can select the desired model for each conversation — or have Langdock's Model-Switch automatically make the selection based on the task type. Unlike Copilot or ChatGPT Enterprise, this is not limited to one provider: teams can test the same task against GPT-5.5 and Claude 4 Opus and choose the stronger response.

In practice, this means: Long-form reasoning often uses Claude 4, mathematical and code tasks use GPT-5.5, and multimodal workflows use the current Gemini generation. Consolidation via a single interface eliminates the tool sprawl that many companies have been dragging along since the "wild phase" of 2023/24.

2. Custom Assistants and Autonomous Agents

The Agent Builder allows you to create predefined assistants that:

• access specific Knowledge Bases (SharePoint, Confluence, Google Drive, Notion, Slack, Zendesk, local files),
• bring their own system prompts,
• work with defined models, and
• call external systems via Actions (create CRM entries, open tickets, book appointments, call REST-APIs).

The latest updates include autonomous Langdock Agents that execute code in sandboxed containers, manipulate files, iterate web research, and independently complete longer task chains — a direct competitor to Microsoft Copilot Studio, but without being tied to the M365 world. The step from assistants to independent agents is part of a broader trend that we have classified in Anthropic's Agentic-Coding-Report 2026: The Orchestration.

3. Retrieval-Augmented Generation (RAG) via Company Data

Langdock indexes company documents in an internal Vector Store that is synchronized with the identity and access rights of the source. If you don't have permission for a document in SharePoint, you won't see it in the AI response either.

Source connectors include:

• Microsoft 365: SharePoint, OneDrive, Teams, Outlook (via Microsoft Graph)
• Google Workspace: Drive, Gmail, Calendar
• Atlassian: Confluence, Jira
• Salesforce, HubSpot
• Slack, Notion, Linear, Asana, Zendesk
• Own APIs and Webhooks

4. Workflows and Automations

The workflow editor can be used to map multi-stage processes — for example: "Email received → classify → trigger Legal Assistant for contract question → save draft in Outlook → inform editor via Teams". Conceptually comparable to Power Automate or Make/n8n, but natively extended with LLM steps and long-running agents.

5. Governance, Compliance and Auditing

For the regulatory dimension, Langdock provides:

• SSO via SAML 2.0 and SCIM provisioning (Entra ID/Azure AD, Okta, Google Workspace)
• Role and rights system with fine-grained control of models, assistants and data sources
• Detailed audit logs of conversations, model calls and tool calls
• PII redaction at the ingestion point for marking and masking sensitive content
• Model allowlists/blocklists at the organization and team level
• ISO 27001, SOC 2 Type II and DPA under German law (tldv-Review)
• Private Deployment Options for applications with strict storage requirements

What does the Microsoft 365 integration look like in concrete terms?

One of the most frequent questions among German-speaking (DACH) SMEs is: "We already have M365 - why would Langdock make sense in addition?" The answer lies in the integration architecture.

Microsoft Graph as a central bridge

Langdock addresses the Microsoft Graph, i.e. the official API through which Microsoft itself makes content from SharePoint, OneDrive, Teams, Outlook, Calendar, Contacts and Planner accessible. Practical:

• Read access to documents in SharePoint and OneDrive for RAG, including consideration of access rights
• Content from Teams chats and channels can be indexed and searched
• Outlook emails and appointments can be contextualized - for example, for a briefing before a meeting
• Write access to Outlook drafts, OneDrive files and SharePoint lists is possible via Actions

Important: The data does not leave the EU. Content is retrieved from the Microsoft Tenant at runtime, processed in Langdock's EU environment and - in accordance with zero-retention agreements with the model providers - is then not included in the training of third-party models.

How does Microsoft 365 Copilot Wave 3 differ architecturally?

Microsoft 365 Copilot is structured differently. Copilot lives within the Office applications - as a sidebar in Word, Excel formula suggestion, Teams meeting summarizer, Outlook reply suggestion. Its strength is the seamless in-app experience.

Wave 3 (May 2026) takes this to a new level (Microsoft Tech Community):

• Cowork turns Copilot into a persistent employee who continues to perform tasks in the background.
• Agent Mode allows Copilot to perform independent multi-step tasks in Office apps.
• Agent 365 provides the governance layer for all agents in a tenant - identity, audit, lifecycle.
• Outlook extensions (Copilot Insights, Teammates Calendars, auto-mapped Calendars) significantly improve meeting preparation and calendar consolidation (Windows Latest).

Copilot defaults to Azure OpenAI Service (mainly GPT family including newer generations). Other models such as Claude or Gemini are not available via native Microsoft routes - those who want model selection must choose workarounds such as Copilot Studio + Connectors or use an additional platform such as Langdock.

What does the May 2026 security disclosure mean for enterprise buyers?

The CyberSecurityNews disclosure of May 9, 2026 showed that sensitive information could be exfiltrated from Copilot responses via manipulated documents in SharePoint and OneDrive. Microsoft has fully patched the vulnerabilities. However, the incident raises two questions for regulated industries:

1. How robust is the RAG pipeline against Indirect Prompt Injection? Langdock can serve as a second line of defense here because sensitive requests run through a separate PII and classification pipeline.
2. Can particularly critical use cases be deliberately extracted from the Copilot tenant? This separation is the core argument of many Langdock deployments in banks, insurance companies and the public sector.

Sensible combination instead of competition

In practice, we see a two-tier model in many DACH companies:

This is also often the most sober financial option: Copilot licenses only go to employees who actually work in-app - Langdock covers organization-wide AI access via the web interface.

Microsoft Copilot Studio vs. Langdock Agents

With Release Wave 1/2026, Copilot Studio has evolved from a GUI-driven chatbot tool into a serious Agent Orchestration Engine. Important new building blocks (Microsoft Blog):

• Agentic Loops for multi-stage autonomous goal tracking with persistent state.
• Live Data Connectors to SAP, Salesforce, Workday and other enterprise sources — push-based.
• Enhanced Agent Governance: Permissions, data access and identity representation declaratively.
• Improved Connector Marketplace with auto-discovery from existing Power Platform landscape.
• Third-party Push: Workday brought the Sana Self-Service Agent for HR and Finance into Microsoft 365 Copilot into the Copilot Studio catalog on May 13, 2026.

Where Langdock Agents have advantages:

• Model freedom even in the agent context — routing between GPT-5.5, Claude 4 and Gemini per step.
• Sandboxed Containers for Code Execution and file operations.
• Sovereign EU hosting guarantee.
• Easier to use for teams without a Power Platform background.

Where Copilot Studio leads:

• Deep native integration into Microsoft Graph, Dynamics 365 and Power Platform.
• Larger connector ecosystem with Live Data Connectors.
• Vibrant third-party marketplace (Workday Sana, SAP, Salesforce).

Direct Comparison: Langdock vs. Microsoft 365 Copilot (May 2026)

Model Selection

• Langdock: GPT-5.5, Claude 4 (Opus 4.7/Sonnet/Haiku), current Gemini generation, Mistral Large, selected open-source models. Model selectable per conversation, per assistant, or via auto-routing.
• Microsoft 365 Copilot: Primarily Azure OpenAI (GPT family including newer generations). Model selection not intended for end users.

Integrations

• Langdock: Extensive connector catalog (M365 via Graph, Google Workspace, Atlassian, Salesforce, HubSpot, Slack, Notion, Zendesk, etc.), open REST API, Webhooks.
• Microsoft 365 Copilot + Studio: Deep native integration into all Microsoft apps, growing Connector Marketplace, Live Data Connectors to SAP, Salesforce, Workday.

Sovereignty & Compliance

• Langdock: EU hosting in Germany/France/Netherlands, Zero-Retention, PII redaction at the ingestion point, DPA under German law, ISO 27001, SOC 2 Type II. On-Prem and Private Cloud optional.
• Microsoft 365 Copilot: Processing according to Microsoft EU Data Boundary, but global telemetry and US parent company connection. Schrems-II and CLOUD Act debates continue; the May 2026 vulnerabilities have further heightened security awareness.

Prices (as of May 2026)

• Langdock: Team plan starts at approx. €20/user/month for standard chat & simple agents; complex agent workflows are additionally charged based on compute consumption (Workativ overview). Enterprise plans from 1,000 users individually negotiable. We have prepared a separate analysis showing that this change is not an isolated case, but a structural development in AI pricing.
• Microsoft 365 Copilot: 30 USD/user/month in addition to the M365 license, annual contract. Copilot Studio Capacity is licensed separately.

Agent and Workflow Builder

• Langdock: Visual Agent Builder with RAG configuration, Actions, Tools, multi-stage workflows, autonomous sandbox agents, and Long-Chain-Reasoning.
• Microsoft Copilot Studio: Agentic Loops, advanced agent governance, Live Data Connectors, HITL-Approval-Workflows.

Time-to-Value

• Langdock: Rollout typically 4–8 weeks including SSO, source data connection, training.
• Microsoft 365 Copilot: Immediately usable in M365, but meaningful use often requires preliminary work on SharePoint cleanup, permissions, and Sensitivity Labels — Wave 3 further exacerbates the need for clean labels (especially for Agent Mode).

What does the EU AI Act mean for Langdock and Copilot Deployments?

The EU AI Act has been in effect since August 2024 and will become effective in stages. In May 2026, the regulations for General-Purpose AI models will apply; the full transparency obligation for high-risk systems will apply from 2027. For most enterprise applications: GenAI systems fall into the "limited" to "high risk" categories, depending on the intended use. Obligations include:

• Transparency about the models used and their capabilities
• Documentation of the system and training data
• Risk management and impact assessment
• Logging and Auditing of AI usage
• Human oversight of automated decisions

Langdock provides a number of native building blocks for this:

• System Maps and Model Overviews with information on data flows and training basis
• Complete Audit Trails at conversation and action level
• PII Detection and Classification for input data
• Model Governance for central control over which models are permitted in which contexts
• DPA and EU Hosting as a legal basis according to GDPR
• Private Deployment Options for particularly sensitive Use Cases

Microsoft 365 Copilot provides comparable building blocks via the Microsoft Compliance Center, but under the framework conditions of a US corporation. For strictly regulated industries — financial service providers, public sector, healthcare, defense — this is a differentiating factor that often tips the platform decision.

Who uses Langdock?

Langdock deliberately targets medium-sized businesses and corporations in the DACH region, as well as increasingly in BeNeLux, France, and Scandinavia (innFactory comparison). Well-known references reportedly include large German industrial companies, railway companies, insurance companies, and consulting firms — with a focus on industries in which data sensitivity and regulatory requirements play a special role.

Typical use cases:

1. Knowledge Management Hub — a unified search and chat interface across SharePoint, Confluence, Slack, and Drive.
2. Sales Assistant — Account research, pitch deck creation, automatic CRM maintenance.
3. Legal Assistant — Contract analysis, clause comparison, risk warnings against internal rules.
4. HR Helpdesk — Self-service for guidelines, onboarding support, certificate drafts.
5. IT/Engineering Support — Code reviews, incident triage, internal documentation search.
6. Customer Service Co-Pilot — Answer suggestions with source references from FAQ, tickets, and knowledge base.
7. Autonomous Research and Analysis Agents — e.g. for compliance checks or market monitoring with human approval.

Strengths and Weaknesses — An Honest Assessment

Where Langdock Excels

• Model Freedom: Best-of-Breed per use case instead of a one-size-fits-all LLM — also for agents.
• EU Sovereignty: Realistically resilient legal and compliance framework plus private deployment option.
• Speed: Rapid iterations, frequent product updates, very close to the state of the art.
• SME Experience: German language, German contracts, German support.
• Price Transparency: Consumption-oriented components, modular licenses.

Where Microsoft 365 Copilot Wave 3 Leads

• Native In-App Integration: No one builds Word, Excel, Teams, Outlook so deeply into a copilot as Microsoft itself.
• Data Proximity: Anyone who already has everything in SharePoint and Exchange benefits from minimal friction.
• Brand Trust: Procurement and IT security know Microsoft — shorter purchasing cycles.
• Connector Marketplace: Deep integration into SAP, Workday, Salesforce with Live Data Connectors and new third-party agents like Workday Sana.

Where Both Share Weaknesses

• Adoption is not guaranteed: An AI license alone doesn't move anyone. Both platforms need a well-thought-out enablement concept.
• Data quality dominates: Anyone who has SharePoint chaos gets search chaos with Copilot. Anyone who doesn't have clean Knowledge Bases gets mediocre answers with Langdock-RAG.
• Agent Risk: Autonomous agents in both worlds need careful guardrails, audit trails, and HITL escalation — the May 2026 disclosure underscores this.

How do I introduce Langdock or Copilot Wave 3? Implementation Guide in 6 Steps

1. Use Case Inventory. Collect 10–20 concrete workflows where GenAI would already deliver added value. Prioritize by volume and efficiency.
2. Data Source Audit. Which systems can be connected? Where are there access or authorization problems? Which data is sensitive?
3. Security and Compliance Requirements. Classify use cases according to EU AI Act risk classes. Include DPA, clarify hosting region and model allow lists.
4. Platform Architecture. Decide on the role of M365 Copilot Wave 3, Copilot Studio, and Langdock. In many cases, a combination is the right answer — not the "one-size-fits-all" approach with only one platform. If you are also evaluating Claude Managed Agents as Enterprise Infrastructure in parallel, you should include this in this phase.
5. Pilot. Start with 2–3 assistants and 50–100 pilot users. Collect metrics: Adoption, Response Quality, Time-Saved, Net Promoter Score.
6. Scaling with Governance. Roll out gradually, establish an AI Governance Board, document use cases in the EU AI Act sense — and define guardrails for autonomous agents.

When is Langdock the Right Choice?

From our perspective, Langdock is particularly suitable if:

• Your organization wants to use multiple models in parallel and avoid model lock-in.
• Data sovereignty and EU hosting are not a "nice to have" but a compliance necessity.
• You need system-wide workflows beyond M365 (Salesforce, Confluence, Slack, your own APIs).
• You consider cost transparency and consumption control more important than all-in licenses.
• Your company is medium-sized to a large corporation and operates in the DACH region or more broadly in Europe.
• You need autonomous agents with code execution or long-chain reasoning, but within an EU-sovereign framework.

Microsoft 365 Copilot remains the better choice if:

• Your employees mainly work in Office apps and Wave 3 effects (Cowork, Agent Mode) have the greatest leverage.
• You are already deeply rooted in the Microsoft ecosystem and do not need model selection.
• You prefer a quick introduction without an additional platform.
• You want to solve SAP/Workday/Salesforce Live Events and HR self-service agents (Workday Sana) via Copilot Studio.

FAQ — Frequently Asked Questions

What is Langdock in one sentence?

Langdock is an Enterprise-GenAI platform founded in Berlin with model choice (GPT-5.5, Claude 4, Gemini, Mistral), EU hosting, RAG layer and visual agent builder.

Is Langdock GDPR compliant?

Yes. Langdock hosts exclusively in EU regions, includes a DPA under German law, and contractually guarantees that customer data will not be used to train third-party models. Certifications include ISO 27001 and SOC 2 Type II.

Which language models are available in Langdock?

Currently including GPT-5.5 and GPT-4o, Claude 4 (Opus 4.7, Sonnet, Haiku), the latest Gemini generation, Mistral Large and selected open source models. The selection is constantly expanded and automatically routed via Model Switch.

What's new in Microsoft 365 Copilot Wave 3 (May 2026)?

Three building blocks characterize Wave 3: Cowork for persistent human-agent collaboration, Agent Mode for autonomous multi-step execution in Office apps, and Agent 365 as a central governance and security layer for all tenant agents. Plus Outlook extensions such as Copilot Insights, Teammates Calendars and auto-mapped Calendars (source: Microsoft Tech Community).

What can Microsoft Copilot Studio do (Release Wave 1/2026)?

Agentic Loops with persistent state, Live Data Connectors to SAP/Salesforce/Workday, enhanced agent governance, and a growing connector marketplace with third-party agents (e.g. Workday Sana). Source: Microsoft Release-Plan.

What is the Workday Sana Self-Service Agent?

On May 13, 2026, Workday introduced the Sana Self-Service Agent for HR and Finance in Microsoft 365 Copilot. Employees can ask questions about vacation, salary, onboarding, or travel expenses directly in the Copilot chat — the answers come from Workday HR and Finance data (Workday Newsroom).

What Microsoft 365 Copilot security vulnerabilities were there in May 2026?

On May 9, 2026, CyberSecurityNews reported on three critical vulnerabilities where manipulated documents in SharePoint/OneDrive could exfiltrate sensitive data from Copilot responses (Indirect Prompt Injection). Microsoft claims to have completely fixed all vulnerabilities.

Can Langdock be operated in parallel with Microsoft 365 Copilot?

Yes, that's even the most common setup. Copilot covers in-app productivity, Langdock serves as an organization-wide AI hub for model choice, Custom Assistants, and cross-system workflows.

How deep is Langdock's M365 integration?

Langdock speaks the Microsoft Graph and can access SharePoint, OneDrive, Teams, Outlook, and Planner for reading and writing. Permissions are mirrored from the Microsoft Tenant — access rights are retained.

How much does Langdock cost?

According to the Workativ overview, the team plan starts at approx. €20/user/month for standard chat & simple agents; complex agent workflows are additionally charged according to compute consumption. Enterprise tariffs from 1,000 users are individually negotiable and optionally include private cloud or on-prem deployments.

How much does Microsoft 365 Copilot cost?

30 USD/user/month in addition to the M365 license, annual contract. Copilot Studio capacity is licensed separately according to "Messages" and connector volume.

How does Langdock relate to the EU AI Act?

Langdock delivers essential building blocks for fulfilling the EU AI Act requirements with system maps, audit logs, model governance, PII detection and EU hosting — especially for applications in the "limited" to "high risk" area.

Which industries particularly benefit from Langdock?

Financial service providers, insurance companies, healthcare, public sector, industry and consulting firms — i.e. wherever data sovereignty, auditability and model freedom are highly relevant.

What is Agent 365?

Agent 365 is the central control and security layer introduced in Wave 3 for all Copilot agents of a Microsoft tenant — it captures identity, permissions, audit and lifecycle of all own and third-party agents.

What is "Cowork" in Microsoft 365 Copilot?

"Cowork" is a Wave 3 mode in which Copilot works persistently alongside users — tasks are continued in the background, the human intervenes when necessary.

Conclusion: A Mature Platform for the European Market

By May 2026, Langdock has developed into a serious alternative — and in many cases, a complement — to Microsoft 365 Copilot Wave 3. Its strength lies not in a "Microsoft-killer" claim, but in a pragmatic, model-agnostic architecture that addresses the core requirements of European enterprise buyers: sovereignty, model choice, compliance, cost transparency, and speed.

Microsoft has significantly improved in Wave 3: Cowork, Agent Mode, and Agent 365 are qualitatively changing the in-app experience. Copilot Studio Release Wave 1/2026 complements this with Agentic Loops and Live-Data-Connectors to SAP, Salesforce, and Workday — an ecosystem that is difficult to match in reach and depth. However, the critical security incidents of May 2026 underscore why a defense-in-depth strategy with an additional sovereign layer remains sensible for many DAX and Mittelstand companies.

Anyone setting up a GenAI strategy in 2026 should consider both platforms as complementary building blocks — and ask the question of which setup best combines their own use cases, regulatory requirements, and licensing costs. This decision is flanked by the Anthropic-vs-OpenAI-Land-Grab im Enterprise-Consulting, which is currently reshuffling the market for implementation partners.

For many DACH companies, the answer in the end is: M365 Copilot Wave 3 for in-app productivity, Copilot Studio for native MS-/SAP-/Workday workflows, Langdock as an organization-wide, sovereign AI layer with model freedom and autonomous agents on top. This is not the maximalist, but the sober answer — and that is precisely why it works in practice.

Sources & Further Links

Microsoft 365 Copilot Wave 3 & Copilot Studio

• Microsoft Tech Community: Frontier Transformation and Wave 3 of Microsoft 365 Copilot
• ProServeIT: Inside Microsoft Copilot Wave 3: Cowork, Agent Mode, Agent 365
• Microsoft Learn: Copilot Studio 2026 Release Wave 1 — Release-Plan
• Microsoft Blog: Copilot Studio Agent Governance, Intelligent Workflows & Connected Apps
• Windows Latest: Outlook Mai 2026 — Copilot Insights, Teammates Calendars, Automapped Calendars

Third-Party Agents in the Copilot Stack

• Workday Newsroom (May 13, 2026): Workday Brings Sana Self-Service Agent for HR and Finance Into Microsoft 365 Copilot

Security Disclosure

• CyberSecurityNews (May 9, 2026): Critical Microsoft 365 Copilot Vulnerabilities Expose Sensitive Information
• GBHackers: Microsoft 365 Copilot Flaws Could Let Attackers Access Sensitive Data

Langdock

• Sacra: Langdock — Revenue, Funding & News
• tldv: Langdock Review: The Best GDPR-Compliant Enterprise AI?
• Workativ: Langdock Pricing 2026: Plans, Hidden Costs & ROI
• innFactory: CompanyGPT vs. Langdock — Enterprise AI Platforms Compared 2026

Model Releases 2026

• Help Net Security: OpenAI GPT-5.5 — expanded cybersecurity safeguards (April 2026)
• Anthropic: Introducing Claude Opus 4.7

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Are you planning a Langdock, Copilot, or Copilot Studio rollout and need sparring on architecture, use case selection, or EU AI Act compliance? Context Studios supports Enterprise GenAI projects from strategy to productive operation.