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Automation & AI for SMEs · Hamburg Automate recurring tasks and assess practical uses for AI.

I connect the tools you already use and automate suitable steps in your workflows, in Hamburg and remotely. We choose a specific task, check the data and permissions it needs, and test the result before introducing it more widely.

Where time and knowledge get lost

Many routine tasks follow the same steps: copying data from one system to another, getting approvals, passing information on. The knowledge behind them sits in mailboxes, folders and people’s heads. Together we look at what regularly holds your team up and which systems are involved.

What this can improve

Less manual work, and workflows you can check. We decide which decisions stay with a person, how errors are reported and who looks after the workflow later. For AI applications we also agree which data they may use.

Typical work

What I take on for automation and AI.

  1. Risk analysis and security concept

    Reviewing workflows and effort

    I map out the individual steps. Together we decide which automation is worth it in terms of benefit and effort.

  2. Workflow automation

    Workflow automation

    Approvals, notifications, data transfers and recurring tasks with Power Automate or n8n, documented and maintainable.

  3. System integration

    System integration

    Connecting line-of-business applications, Microsoft 365, databases and cloud services through APIs and scripts, so nobody has to copy data across by hand any more.

  4. Copilot readiness

    Copilot rollout

    Preparing and rolling out Microsoft 365 Copilot: permissions, data quality, governance, a pilot group and training.

  5. AI assistants and knowledge bases

    AI assistants and knowledge bases

    Preparing documentation, contracts and manuals so AI assistants can answer from them and cite their sources.

  6. Data protection and on-premises models

    Data protection and on-premises models

    Clarifying which data may go into which models and, where data sovereignty requirements are higher, running models on your own infrastructure.

What runs for clients

One example: when a new employee is created in Personio, her accounts in the on-premises Active Directory and in Microsoft 365 are set up automatically, and hardware and licences are assigned to her. Workflows like this run for clients on Power Automate or on n8n, which I host myself.

I have introduced Copilot for clients, each time after permissions and SharePoint had been cleaned up. AI assistants built on the company’s own documents and local models are also in production use at client sites.

Introducing AI with your team

Many teams already use AI, often without shared rules. I help choose suitable applications, set rules for company data and brief your staff. A limited trial with real tasks shows whether it holds up in everyday work.

Technology

Tools for the job.

Power Automate
Workflow automation within Microsoft 365.
n8n
Open-source workflow automation, self-hosted, connecting line-of-business applications, Microsoft 365 and AI models.
Microsoft Graph & APIs
Programmatic access to Microsoft 365 and other systems.
Microsoft 365 Copilot
An AI assistant in Word, Outlook, Teams and Excel, working within existing permissions.
Cloud and on-premises models
Models from OpenAI, Anthropic or Microsoft, or open-source models on your own hardware.
How it works

From use case to live operation.

  1. 01

    Review the workflow

    I look at how the work runs today, how much time it takes and which data and permissions are involved.

  2. 02

    Agree the solution

    We pick one or two tasks with a noticeable benefit and assess data protection.

  3. 03

    Test and roll out

    A first workflow runs with approved data in a small group. If it proves itself, it is rolled out.

  4. 04

    Support and improve

    I build on what works. What does not, we address openly.

Frequent questions

Questions about automation and AI.

Have a different question? Just write to me.

That depends on the task and the data involved. I check with you whether the workflow can be automated with the tools you already have, or whether Copilot, a custom AI assistant or an on-premises model makes sense. Sometimes no AI is needed at all.

First we establish which data may go to which provider and which has to stay in-house. That decides whether cloud models, Copilot or on-premises models fit, and what rules apply to your staff. For Copilot, tidy permissions in Microsoft 365 are the most important prerequisite.

That is the goal. Automations are documented and built so your team can understand and adjust them.

Which task would you like to do by hand less often?

Describe the workflow and the programs you use for it. We will work out which steps can be automated and what a sensible first step looks like.