Roll out ChatGPT, Claude or Langdock with purpose.
From first orientation to everyday use in your team: we find suitable tasks, review the choice of platform and support setup, pilot and enablement of your employees.
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ChatGPT -
Claude -
We start with your work, not with the tool.
Together we find suitable use cases, choose a fitting platform and introduce it in your team with a manageable pilot.
- Suitable tasks instead of generic prompt training
- Platform choice tested against your real cases
- A manageable pilot with clear success criteria
Do not choose the tool first. Understand the work first.
- 01 Where do research effort, repetition and manual handovers arise?
- 02 Which tasks are suitable for a first use?
- 03 Which information is needed, and which may be used?
- 04 What are the requirements for quality, security and collaboration?
- 05 Who takes responsibility for rollout and use?
A shared target picture, prioritised use cases and a proposal for a manageable pilot.
For us, AI strategy means making decisions
Which tasks come first, which data may be used, who is responsible for rollout and use. We clarify these points using your own processes and record them in a way that lets you work with them afterwards.
From the first use case to a usable way of working.
- 1
Understand
Look at existing work together with the people involved. Record tasks, data, problems and requirements.
Outcome A task overview that can be prioritised, and the starting position. - 2
Select
Choose two to three suitable use cases. Define success criteria and test suitable platforms against these tasks.
Outcome Pilot scope, platform recommendation and evaluation criteria. - 3
Prepare
Set up the work environment, approved knowledge, roles, work instructions and the required integrations. We take your existing system landscape into account, for example Microsoft 365, Google Workspace or relevant specialist systems. Personal sign-in or authorisation is only planned where it is necessary.
Outcome A prepared workplace for the pilot group. - 4
Test in everyday work
Work with real tasks and a small group. Also test incomplete information, error cases, missing permissions and required approvals.
Outcome A traceable assessment of benefit, quality and open issues. - Decision point after the pilot
A pilot does not automatically lead to a rollout. We evaluate together and decide deliberately.
Evaluate improveroll outdo not continue for now - 5
Roll out in the team
Enable employees based on their actual tasks. Provide prepared role packages and ways of working. Define points of contact and feedback channels.
Outcome Teams that can use the workplace in their relevant tasks. - 6
Support and improve
Monitor usage, result quality, rework and costs. Maintain knowledge and work instructions and add further use cases in a targeted way.
Outcome Regulated operation with clear responsibility.
Which platform suits your team?
Claude and ChatGPT are the work environments of their own model providers. Langdock is a cross-provider enterprise platform. Using a model through Langdock is not the same as the full feature set of the respective vendor app.
Claude
Drafting, analysis and implementation Strong in research, analysis and fully worked-out documents.
- Company context
- Projects, connectors and skills.
- Connected tasks
- Multi-step work on files and in connected tools.
- Integrations and extensibility
- Ready-made connectors and custom integrations.
- Rollout and administration
- Enterprise administration with permissions and usage analytics.
Which features your plan includes.
Sources: claude.com/product/cowork, Claude Help Center
ChatGPT
Broadly applicable AI workplace Broadly applicable, creates spreadsheets, presentations and documents.
- Company context
- Connectors, projects and shared skills.
- Connected tasks
- Workspace agents that can be shared and started on a schedule.
- Integrations and extensibility
- Connectors, apps and custom extensions.
- Rollout and administration
- Admin console with roles and usage analytics.
Which agent features your plan includes and how they are billed.
One point of access to models from several providers.
- Company context
- Shared knowledge spaces and shared agents.
- Connected tasks
- Agents and workflows with approvals.
- Integrations and extensibility
- Native and custom integrations.
- Rollout and administration
- Central administration, EU hosting depending on the contract.
Which models are approved and what agents cost in addition.
Sources: Agents, Workflows, Integrations
The decision is not made on a feature list alone, but on how well the platform works with your specific tasks.
Feature scope, plans and administration options change frequently. We check the current status before every selection decision. Status of the information given here: September 2026.
A prepared workplace instead of an empty chat window.
Work environment
A suitable platform with the required access, set up for your roles.
Approved knowledge
Structured, approved sources instead of scattered files and individual know-how.
Work instructions
Prepared task aids and skills for the roles that work with them.
Enabled employees
Teams that can get their tasks done with it, and clear points of contact.
Four questions before you start
No. We first record your tasks, systems and requirements and only then check which platform and which plan fit. That way the licence decision follows from concrete use cases.
That is exactly what we recommend. A pilot group with two to three use cases is enough to assess benefit and quality. Only then do you decide on a broader rollout.
We test the candidates against your real cases and assess quality, available integrations, administration, required interfaces, data protection requirements and total cost. For getting started we recommend one platform; several in parallel increase effort and cost.
We evaluate together and decide deliberately: improve, roll out or do not continue for now. A rollout is followed by enablement in the team, points of contact, maintenance of the work instructions and monitoring of quality and cost.
A sensible start begins with a concrete task.
Tell us where your team loses the most time today. From that we jointly develop the first use cases, a platform recommendation and a manageable pilot.
