AI & Automation
AI consulting: check feasibility, plan a prototype, integrate AI
Clarify where AI makes sense, which model fits and how it gets into your systems, with a prototype that your team tests on real data.
- since 2012
- 200+ online shops
- 800+ websites
- Shopware Partner since 2014
Team
19 people
in-house development since 2012
Online shops
200+
delivered since 2012
Projects delivered
1000+
since 2012
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Shopware Partner since 2014
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Mollie Partner since 2021
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Trusted Shops Partner
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eRecht24 Partner
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magnalister Partner since 2022
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Base Partner since 2026
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sync4 Partner since 2022
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Pickware Partner since 2019
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ADCELL Partner
Why AI consulting without tests on real data remains speculation
There are plenty of AI tools, and new ones appear every week. The hard question is which of them helps with a specific process, what it costs and what happens to the data. Without a test on real data, it all remains speculation.
What AI consulting gives you
- You know which tasks are suitable for AI and whether the idea is technically feasible.
- A prototype shows within a short time whether the idea holds up in daily use.
- We plan model selection and data flow with data protection in mind.
- A successful prototype can become a production solution.
Scope of services
What our AI consulting covers
- Workshop
Together we find processes in which AI genuinely saves time.
- Models and providers
We choose what suits the task, budget and data protection.
- Prototype with real data
A quick test shows whether the idea holds up in daily use.
- Integration
The solution goes into your website, shop or internal systems.
- Security concept
We clarify which data may be sent to which service.
- Production build-out
The prototype becomes an application for everyday use.
In AI consulting we clarify where AI makes sense in your company, which model fits and how it gets into your systems. Instead of lengthy concepts, we quickly build a prototype that your team tests on real data. Depending on the project, we work with OpenAI, Claude, Google Gemini, Mistral AI, Azure OpenAI or open-source models such as Llama.
AI product advice
ExampleI’m looking for a hiking rain jacket that doesn’t rustle.
Two jackets from your range with a soft outer fabric fit that. Both are waterproof and breathable. Shall I filter by size?
The answers are based only on your product data.
Check feasibility and plan the prototype
Before anything is built, we use AI consulting to clarify whether an idea is technically and commercially viable. What data is available, how good is it, and which model solves the task reliably? This results in a plan for the prototype: which functions it must demonstrate, which target framework it runs on and what budget framework is realistic. How we then build the prototype with 15 to 20 % of the project budget is shown under AI prototyping. Small and medium-sized companies in Germany may be eligible for funding for the consulting; read more about BAFA consulting funding.
- Shop
- ERP
- Documents
AI prototyping instead of months of planning
In prototyping we first focus on processes, functions and data flows, not on perfect design or architecture. Web applications, interfaces, dashboards or automated data processing with APIs, CSV, XLS or JSON are therefore ready within a few weeks. You test the process in daily use and decide, on the basis of real results, whether further development is worthwhile.
$answer = $ai->ask(
system: 'Only answer with data from the catalogue.',
context: $catalogue->matchingProducts($enquiry),
question: $enquiry->text,
);
$log->store($enquiry, $answer);
return $answer->forApproval(); From idea to integration
If the idea holds up, we integrate the solution into your website, shop or internal systems. Typical results are chatbots and assistants, automatic text analysis and classification, image and document recognition or semantic product search. Ready-made building blocks for this are described under AI search and process automation. We usually develop the applications themselves with Laravel.
How your AI consulting runs with us
- Workshop
We collect processes and ideas and assess them by benefit and feasibility.
- Prototype
Within a few weeks, a working solution with a basic security concept is built for internal testing.
- Test
Your team works with real data, and we measure results and make adjustments.
- Build-out
If the idea holds up, a security concept, scalable architecture and design for production use follow.
Your contacts
Your contacts for AI consulting
Tell us where your project stands. René will listen, ask questions and tell you honestly what we recommend and roughly what it will cost.
Our team for your questions
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René Grosche Managing Director
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Marco Kreutzfeldt Deputy Managing Director · Back office
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Tim Schröder Key Account Manager · Consulting and quotes
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Janis Rittmeier Key Account Manager · Consulting and quotes
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Lennart Albrecht Head of Development
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Tom Baustian Web design · Performance marketing · Audio
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Tajara-Tabea Leonard Web design · Content · SEO
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Ken Raupach Web design · Performance marketing
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Muhammed Tay Web development
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Alexander Folz Web development
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Aaron Griem Web development
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Leon Fischer Web development
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Patrick Heidl Web development
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Tobias Schäfer Web development · Complex development
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Laura Schop Web development
- Aleksej Werestschagin Web development
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Julina Sievert Apprentice
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Rosa-Lee Biesterfeldt Apprentice
Frequently asked questions about AI consulting
All questions and answersHow quickly will I see first results from AI prototyping?
First working functions are usually ready in the first week after the project starts. A complete prototype for testing in daily use is generally available after a few weeks.
Is an AI prototype secure?
For prototypes we use a basic security concept that is sufficient for internal use and testing. If the solution is to run publicly or with sensitive data, we first build a comprehensive security concept.
Can the prototype be developed further later on?
Yes. After a successful test, the prototype can be used productively in-house. For public use, we extend it with a security concept, scalable architecture and professional design.
Laravel AI SDK officially announced: what it means for Laravel and shop projects
Laravel has announced the official Laravel AI SDK. We assess its features, integration options, pros and cons for e-commerce projects.
- Process automation
Automate recurring processes with AI: read documents, clean up imports, pre-sort enquiries, with handover to people when decisions are needed.
- Marketing automation
Product descriptions from your own product data, translations for multilingual shops and recurring marketing content, automated with AI.
- AI search & product advice
A shop search that understands typos, synonyms and whole sentences, and a product advisor in a chat that only recommends items from your real catalogue.
- AI prototyping
Realise your project and check its feasibility with 15 to 20 % of the project budget: with an AI prototype built directly on the target framework, whether Astro, Symfony, WordPress, Shopware or Laravel.
A few sentences are enough to start. We will get back to you with questions or a suggested date.