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Start where it hurts most
Not an AI strategy on paper, but the one process that costs time every day: quotes, requests, documents. That is where you quickly see whether AI really helps.
AI in your business
Not as an end in itself, but where it makes processes noticeably and reliably more efficient. We look at the process first. We only use AI where it beats a clear workflow or classic automation – and in a way that keeps prices, data and decisions with you.
Our core principle
It reads requests, structures them, asks for what is missing and drafts the text.
Prices, quantities and dates come from your systems – exact and traceable.
Nothing goes out unread. The decision stays with your team.
Our focus
AI is not a goal, it is a tool. It pays off where time is lost every day – and only if the result is reliable enough for your team to trust it. Every project we do is built around that.
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Not an AI strategy on paper, but the one process that costs time every day: quotes, requests, documents. That is where you quickly see whether AI really helps.
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The AI does not calculate. Costing, price lists and expert knowledge stay in your tools; the AI queries them and passes the figures on unchanged.
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The AI gets exactly the actions the process requires – technically enforced. Read where necessary; create or file only after confirmation.
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Company knowledge and customer data do not belong in a subscription AI without a GDPR-compliant data processing agreement. Chats and documents stay on your platform; model calls run through EU data centres under a DPA.
How we work
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Together with the people who run the process every day, we look at where time is lost and errors occur. The result is a concrete process, not a wish list.
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Benefit, effort, risks. Often a clear workflow, good search or classic automation solves the problem more simply and reliably. If so, that is what we recommend.
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A few users, real requests from your business, a manageable scope. You see early what works – and your team gets used to it step by step.
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The AI accesses ERP, price lists and documents through defined tools – with budgets per user, clear permissions and GDPR-compliant operation. We support the rollout across your team.
And sometimes the best solution is one without AI. Our recommendation never follows a trend, but the best balance of benefit, cost and reliability.
For small and medium-sized companies in Germany, the consulting can be subsidised by the BAFA.
In practice
AI-assisted quoting
Master metalworking business, 10 employees
before
today
4–6 hrs
10–15 min
time saved
for costing and quoting per request
Starting point
The bottleneck was never the workshop, it was the office. Requests arrived as emails with phone photos and a sketch, and dimensions were typed in five times – for the quote, parts list, order, site measurement and invoice. One to two hours of typing per order, with 15 to 20 orders a month.
Solution
AI-assisted quoting: the AI takes in the request, asks for what is missing and hands over to the business's own tools. The calculator works with the company's price list and produces the CAD drawing, parts list and supplier requests; everything lands in the ERP as a draft quote. The AI writes – it is not allowed to calculate.
How a quote is created
Email, photos and sketch go in: the AI summarises, looks up the customer and asks whether to create them and file the case. Nothing happens without a yes.
Design, material and mounting from the photos, dimensions only from the drawing. Anything missing is asked as a choice; a person confirms the survey sheet.
The calculator works out quantities, cutting, labour and coating from the price list, surcharges and margin. The finished CAD drawing is created alongside, ready for the master craftsman to edit if needed.
Line item, costing, CAD drawing and email land in the ERP marked “to be checked by the master craftsman”. The office reads, adjusts if needed and approves.
Result
Technology
AI assistants for request intake and costing · dedicated costing service using the business's price list, connected through a secured interface · CAD drawing generated directly from the costing · handover to the ERP. Runs on the business's own AI platform.
AI platform
Starting point
The team worked with a subscription AI chat. It knew nothing about the business's price lists, projects, standards or customer history: its answers sounded convincing but rested on general knowledge rather than the company's own facts – whether they were right was a matter of luck. On top of that, it was unclear where company knowledge and customer data ended up.
Solution
The business's own AI platform: chat, search across its own data and specialised assistants that access the price list and CRM through secured tools. Every person has their own access with their own budget. Chats, files and usage data stay with the business; only model calls run through an EU data centre under a DPA.
What the platform stands for
Data protection
Chats, files and usage data live on the company's own platform. Only model calls leave it – to an EU data centre under a DPA.
Reliable information
The assistants draw on company data and the CRM. Answers rest on the business's facts, not on general knowledge.
AI for everyone
The whole team works with AI – each person with their own access, their own budget and the assistants they need.
Result
Technology
Self-hosted chat interface · own AI gateway with access and budgets per person · knowledge search across the company's own data · secured interfaces to price list and CRM · language models from an EU data centre in Frankfurt.
We look at the process that costs you the most time and tell you honestly whether AI is the best answer – and if not, what is.