AI in your business

AI only where it helps.

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

  1. AI

    The AI writes.

    It reads requests, structures them, asks for what is missing and drafts the text.

  2. System

    The system calculates.

    Prices, quantities and dates come from your systems – exact and traceable.

  3. People

    People approve.

    Nothing goes out unread. The decision stays with your team.

Our focus

Efficiency you can rely on

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.

01

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.

02

Expertise and prices stay with you

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.

03

Only the permissions it needs

The AI gets exactly the actions the process requires – technically enforced. Read where necessary; create or file only after confirmation.

04

Your data under your control

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

From bottleneck to a solution that holds up in daily work

01

Find the bottleneck

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.

02

Check honestly

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.

03

Pilot with real cases

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.

04

Connect, secure, roll out

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

Successful client projects

AI-assisted quoting

From request email to finished quote – with costing and CAD drawing

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

  1. AI

    Read the request

    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.

  2. AI

    Capture and ask

    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.

  3. System

    Calculate exactly

    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.

  4. People

    Review and approve

    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

  • Costing and quote in 10–15 minutes instead of 4–6 hours – about 95% less time.
  • CAD drawing, parts list and supplier requests are created and drafted, ready to use.
  • Dimensions are captured once instead of being retyped several times.
  • Every price comes from the business's own costing, none from the AI.
  • In productive day-to-day use since the pilot.

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

The team's own AI platform – GDPR-compliant instead of subscription AI

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

    Data stays in-house

    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

    Answers from your own data

    The assistants draw on company data and the CRM. Answers rest on the business's facts, not on general knowledge.

  • AI for everyone

    Access for every person

    The whole team works with AI – each person with their own access, their own budget and the assistants they need.

Result

  • Answers are based on the company's own documents and systems instead of general knowledge.
  • Company knowledge and customer data stay on the business's platform.
  • Dedicated assistants for recurring tasks instead of a general-purpose chat.
  • Access and budget per person: costs stay transparent and capped.
  • Models can be swapped via the company's own gateway, with no per-seat licence subscription.

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.

Where would AI really help your business?

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.