From AI subscription to AI workplace.
Already using ChatGPT, Claude or Langdock? We develop your AI workplace further: with the right company context, reusable work instructions and connections to your existing systems.
-
ChatGPT -
Claude -
A subscription is a start. A prepared workplace is the next step.
Knowledge is ready instead of being explained every time
Company terms, templates and work instructions are prepared and maintained.
Data comes from the system, not from the clipboard
Approved information can be retrieved from the authoritative systems. Suitable actions can be prepared directly from the work request.
The team learns on its own tasks
Teams receive suitable skills, an introduction based on their actual tasks and clear points of contact.
Where does your team stand, and what is the next sensible step?
Still at the very beginning?
Then the first step is about suitable tasks, a fitting platform and a manageable pilot. We have a dedicated rollout path for that.
- Together with your team we find concrete tasks where a first use of AI makes sense.
- We help with the choice of platform and plan a manageable pilot with clear rules of use.
A concrete start instead of isolated experiments, with a clear first use case.
Personal assistance
Drafts, research and analyses are produced faster. The necessary context is supplied anew for every request.
An employee prepares a conversation, improves a text or evaluates an uploaded file.
How we support you
- We practise with your team on real tasks from everyday work instead of generic prompt examples.
- We develop reusable work requests and personal templates for frequent tasks.
- We teach a simple way of working to check results and reuse them sensibly.
Less trial and error and more reliable drafts, research and evaluations.
- Clarified rules of use for content and data
- Good work requests and personal templates
- Training on your own tasks
Working with company context
Results are based on maintained company knowledge instead of the memory of individuals. Terms, standards and templates are stored.
A customer briefing is created from approved CRM information, project documents and internal work instructions.
How we support you
- We structure relevant company knowledge, templates and work instructions for concrete roles and tasks.
- We set up suitable read-only connections to approved knowledge sources and clarify who maintains the content.
- We use realistic examples to check whether the right information is found and used in a traceable way.
Less explaining the same context again and again: results fit your company better.
- Authoritative knowledge sources defined and approved
- Read access to these sources
- Role knowledge and work instructions as maintained skills
Delegating tasks
You set a goal and several work steps run as one connected flow. Approval remains a deliberate step.
Meeting notes are evaluated. CRM changes and follow-up tasks are prepared and saved after approval.
How we support you
- We translate suitable tasks into connected flows with clear results and approval points.
- We connect the system functions needed for this: existing integrations first, custom extensions only where they are missing and make sense.
- We test permitted actions, permissions and error cases before tasks are delegated in everyday work.
Less switching between tools and fewer manual transfers: connected tasks are prepared and carried out after approval.
- Defined write permissions and approval rules
- Connected system functions for the permitted actions
- Tested business, error and permission cases
Automating standard processes
Standard cases start without waiting time. People take care of the exceptions.
A new request is classified, enriched with approved information and assigned to the right team. Unclear cases are passed on for a decision.
How we support you
- We select proven, clearly delimited standard cases and set up suitable time or event triggers.
- We design exceptions, handovers and stop rules so that unclear cases end up with the people responsible.
- We set up logging and ongoing quality checks and improve the process based on actual results.
Less recurring routine: your team focuses more on exceptions and decisions.
- Suitable time or event triggers
- Defined handovers, escalation and stop paths
- Logging and monitoring of the runs
Organising how people and AI work together
Several processes interlock. Those responsible in the business steer goals, quality, approvals and difficult decisions.
Several tasks of a business process are handled by specialised agents, with jointly maintained skills and clear handovers.
How we support you
- We arrange roles, tasks and handovers between employees and specialised AI assistants across several processes.
- We anchor responsibilities for knowledge, work instructions, quality and controlled changes in operations.
- We support further development with regular effectiveness reviews and training for the teams involved.
An AI workplace that can be looked after and developed further together with your company.
- Clarified roles and process ownership
- Centrally maintained skills and knowledge areas
- Quality criteria, test cases and controlled changes
Which level describes your everyday work?
Is AI already used regularly and deliberately for work in this team?
Does the AI have access to maintained, approved company knowledge?
Can the team delegate connected tasks in company systems with defined approvals?
Do suitable standard processes start automatically, and are exceptions handed over to people in a targeted way?
Are responsibilities, quality assurance and further development for these processes anchored in the organisation?
0 of 5 questions answered
Answer all five questions and the indicative level will appear here together with a suitable next step.
0 of 5 questions answered
Answer all five questions and the indicative level will appear here together with a suitable next step.
Indicative result: level 0
No systematic use yet
AI is not yet an established way of working for you. That is a normal starting point, and it is exactly where a clean rollout begins.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Start with suitable tasks, a fitting platform and a manageable pilot.
Indicative result: level 1
Personal assistance
You already use AI as a personal assistant. The company context is still explained anew for every request.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Make approved company knowledge available in a structured way.
Indicative result: level 2
Working with company context
The AI works with your knowledge but does not carry out much yet. So far, people take the follow-up steps.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Delegate suitable tasks with clear approvals.
Indicative result: level 3
Delegating tasks
You already delegate connected tasks with approval. So far, each run is started by hand.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Start proven standard cases automatically in a targeted way.
Indicative result: level 4
Automating standard processes
Standard cases already run automatically for you. What is missing is anchoring responsibility and quality in the organisation.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Organise responsibilities, quality management and further development systematically.
Indicative result: level 5
Organising how people and AI work together
All prerequisites are established. Now it is about quality in operation and the next suitable processes.
We counted “Unsure” as a prerequisite that has not yet been demonstrated. Often all that is missing is a shared look at what already exists.
Your answers suggest that individual sub-processes are already further along than others. That is normal and speaks for looking at each process separately.
Secure quality and open up further suitable processes.
How concrete work changes.
Three illustrative examples from everyday work.
Sales
Gathering customer data, conversations and tasks yourself.
Request a briefing, follow-up tasks are prepared.
Approval of changes and commitments.
Case handling and service
Searching for a case in several systems and writing the reply by hand.
Information brought together, a draft reply is ready.
Special cases, goodwill and binding commitments.
Marketing and project work
Gathering briefing, guidelines and templates again and again.
Drafts based on stored standards and project information.
Assessment, prioritisation and publication.
More context. Fewer handovers. Clearer responsibility.
Prepare company context
Structure knowledge, sources, roles and work instructions so that they can be used for concrete tasks. Define who is responsible for maintaining them.
Connect existing systems
Make relevant information and permitted actions from existing applications accessible. Check existing integrations first; develop custom extensions where they bring a concrete benefit.
Expand delegation in a controlled way
Define suitable task chains, design approvals and exceptions and check the results during ongoing operation.
Your systems stay. Your AI workplace gets the right context.
Microsoft 365
Emails, appointments, collaboration and approved company documents.
-
Outlook -
Teams -
SharePoint -
OneDrive
Google Workspace
Communication, appointments, documents and shared working files such as Docs and Sheets.
-
Gmail -
Google Drive -
Google Calendar
Enterprise software
Customer information and operational data, in each case to the extent approved and required for the task.
-
Salesforce -
SAP -
Workday
Collaboration
Approved team knowledge, project information and collaboration.
-
Slack -
Confluence
Four questions that usually come up before expanding
In most cases, yes. We build on what you have already licensed and only consider a switch where a requirement could not otherwise be met. Which features are available to you depends on platform and plan; we clarify that at the start.
No. We release individual sources in a targeted way and keep access as narrow as possible. The business department and IT jointly define what may be read and what may be changed. Nothing happens without technical permission.
You define that per task. Drafts, compilations and evaluations usually run without an intermediate step. Changes to system data, customer communication and anything with external impact get an approval. Many processes permanently stay with approval by a person, and that is a deliberate decision.
Knowledge sources, work instructions and test cases are given owners and a maintenance rhythm. We introduce changes to models, integrations and instructions in a controlled way: check first, then test on a limited scale, then roll out. A long chat history alone is not a reliable company memory.
What should your AI workplace be able to do next?
We look at where your team stands today, which tasks are worth tackling next and what is needed in terms of context, integration and approvals.
