AI consulting for businesses that want to save time.

Where AI pays off for businesses

AI pays off where recurring tasks involving text, data or decisions based on fixed rules take up a lot of time. Typical examples: pre-sorting and answering emails and enquiries, creating quotes and reports from templates, reading documents and transferring the data, making knowledge from internal documents quick to find, or preparing copy for the website and sales.

AI is less suitable when mistakes are expensive and nobody checks the result, or when the task occurs so rarely that setting it up isn’t worth it. Weighing this up is the core of our consulting.

Typical starter projects

Good starter projects are small, frequent and easy to check. Examples of processes businesses often start with:

• Pre-sorting enquiries: incoming emails are sorted by topic and urgency, with a draft reply.
• Preparing quotes: a draft quote in your template is created from meeting notes.
• Reading documents: data from invoices, forms or contracts is transferred into spreadsheets or the CRM.
• Finding internal knowledge: an assistant answers questions based on your own documents.
• Preparing copy: drafts for the website, newsletter or social media that a person checks and approves.

Which of these makes sense for you depends on volume, risk and the data available.

What happens in the consulting

In the consulting we go through your processes one by one. For each process we clarify: what happens today, how long it takes, which data is involved, and what would AI change about it? The result is a prioritised list with effort and expected benefit. That way you decide where to start instead of trying everything at once. We almost always recommend starting with a single process, introducing it properly and only then tackling the next one.

Workshops and training for teams

Workshops and training make sure AI is used in everyday work and doesn’t just remain a talking point. Your team works on its own tasks: real emails, real quotes, real documents. It learns how to instruct tools such as ChatGPT or Claude precisely, how to check results and which data does not belong in them.

Data protection and local models

Data protection is not a side issue with AI. Not every piece of information may go into a cloud service. For sensitive data, a locally run language model that operates on your own hardware can be a solution. We show how this works in the guide Using DeepSeek locally.

From consulting to implementation

Once it is clear where AI helps, we implement it if you wish: automations that move data between your tools, for example with n8n, chatbots for your website or internal knowledge, and custom AI applications with a database and interface. This is part of our software development and web app development. In the guide on Bolt.new we describe how quickly you can build a first prototype with AI tools today.

And if the goal is for your business to appear in AI answers from ChatGPT, Perplexity or Google, that is a question of visibility. That is what AI SEO (GEO) is for.

What the AI consulting costs

The consulting costs €200 per hour. For workshops and implementation projects you receive a quote in advance. We are based in Hanau, Germany, and advise businesses in Germany and worldwide, by video or in person. If you want to know where AI will help your business first: Book an intro call.