AI & Automation
AI prototyping: check feasibility before the big budget is spent
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.
- 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 software projects find out too late what does not work
Traditional software projects begin with months of planning. Whether an idea holds up in daily use often only becomes clear once a large part of the budget has already been spent. An AI prototype turns this round: it is built in a short time on the framework the project will later run on and shows, using real processes, what works and what does not.
What an AI prototype gives you
- You check feasibility with 15 to 20 % of the project budget.
- You usually see the first working functions in the very first week.
- The prototype is built directly on the target framework and is not a throwaway model.
- Once validated, it can already run productively for internal purposes.
Scope of services
What we build as an AI prototype
- Web applications
Internal tools, portals and platform prototypes that run in the browser.
- Interfaces
Data processing with APIs, CSV, XLS or JSON between your systems.
- Dashboards
Key figures and processes at a glance, with real data instead of slides.
- Process automation
Automate recurring processes and test them under real conditions.
- Basic security
A lean security concept for testing and internal use.
- Build-out
If the idea holds up, the prototype becomes a secure, scalable solution.
With an AI prototype, you realise your project in a first, working stage and check its feasibility with 15 to 20 % of the project budget. The prototype is built directly on the target framework your project will later run on: Astro, Symfony, WordPress, Shopware or Laravel. Instead of planning for months, you see early on what works in daily use.
- Shop
- ERP
- Documents
Functions instead of slides
In AI prototyping the focus is deliberately on processes, functions and measurable results. You get first results quickly, test processes under real conditions and make decisions based on data. A lean basic security concept, iterative development and A/B tests directly on the real project keep the risk low and avoid costly misinvestments.
$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(); What we build as a prototype
Within a few weeks we create web-based applications, interfaces, platform prototypes and automated data processing, for example with APIs, CSV, XLS or JSON. Whether internal tools, process automation, dashboards or new business models: you get a working system. After successful validation, it can already be used productively for internal purposes.
From prototype to finished solution
If the product is then to be marketed or made publicly available, we build the next stage together. This includes a comprehensive security concept, a scalable architecture, professional interface design and the protection of sensitive data. If you would first like to clarify where AI makes sense in your company at all, we start with AI consulting. For your own applications on Laravel, you will find more under Laravel development.
How your AI prototype is built
- Clarify idea and goal
We define which functions the prototype must demonstrate and which framework it should run on.
- Build the prototype
With AI-assisted development, working functions are created in short iterations that you can test early.
- Test and measure
Iteratively and with A/B tests directly on the real project, we check what works in daily use.
- Decide and expand
You decide on the basis of real results. For public use, we secure the solution comprehensively.
Your contacts
Your contacts for AI prototyping
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 prototyping
All questions and answersWhat does an AI prototype cost compared with traditional development?
In our experience, the costs amount to 15 to 20 % of the project budget of traditional software development. The reason: we first focus on functions, processes and data flows rather than elaborate design, perfect architecture or long-term scaling. This lets you test your idea early and avoid costly wrong turns.
Which frameworks is the prototype built on?
Directly on the framework your project will later run on: Astro, Symfony, WordPress, Shopware or Laravel. The prototype is therefore not a throwaway model but the first stage of your solution.
How quickly will I see first results?
First working functions are usually ready in the first week after the project starts. With AI-assisted development and clearly structured processes, we quickly deliver prototypes for web-based software, interfaces, platforms or automations.
Is an AI prototype secure?
For prototypes we deliberately use a basic security concept that is sufficient for internal use and testing. Many projects initially run on an intranet, locally or in protected environments. If the solution is to be publicly accessible or process sensitive data, our experienced developers secure it comprehensively in the next step, with security architecture, an access concept, data protection, scalability and code review.
Can the prototype be developed further later on?
Yes, and that is its greatest advantage. After validation, the prototype can be extended step by step, technically optimised, moved to a scalable architecture or redeveloped if necessary, then with a clear foundation and significantly lower risk.
Is software developed with AI assistance stable in the long term?
What matters is not the tool but the experience and oversight of qualified developers. We combine the speed of AI-assisted development with traditional software expertise, so that solutions are stable, maintainable and handle data securely.
- 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.
- Marketing automation
Product descriptions from your own product data, translations for multilingual shops and recurring marketing content, automated with AI.
- Process automation
Automate recurring processes with AI: read documents, clean up imports, pre-sort enquiries, with handover to people when decisions are needed.
- AI consulting
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.
A few sentences are enough to start. We will get back to you with questions or a suggested date.