Strategy before technology
We start with the right questions, not with tools. The result: AI solutions that are actually used in everyday life.
ProDigi
Online
AI consulting and strategy for companies
From strategy to intelligent chatbot - AI that works
Many AI projects fail not because of the technology, but because of a lack of methodology. We combine strategic consulting with practical implementation: AI coaching based on the PROGRESSIVE Reasoning Framework and RAG-based chatbots for your website. Our goal: to enable you to use AI independently.
AI consulting that makes an impact
Over 60% of AI projects in companies fail - not because the technology fails, but because strategy, skills development and integration are lacking. Successful AI implementation needs more than impressive demos: it needs well thought-out prompts, validated data quality and teams that understand what they are doing.
At the same time, expectations are rising: Customers expect intelligent services, employees expect relief, management expects ROI. AI can deliver all of this - if it is used correctly.
We help you to set up AI projects in such a way that they create sustainable added value - with a methodology that combines strategy and implementation and empowers your team, not makes them dependent.
Competence instead of dependency
We work with your team, not for your team. You develop AI solutions independently through workshops and knowledge transfer.
Substance instead of hype
Sophisticated prompts, validated data and systematic testing. No marketing promises - just reliable results.
Two paths, one goal: AI that creates added value
Whether you want to build up AI expertise in your team or implement a specific use case - we offer both. And often both belong together.
AI coaching & strategy
AI projects rarely fail because of the technology - but because people don't understand it and organizations can't implement it. Our AI coaching combines real understanding with practical methodology. With the PROGRESSIVE Reasoning Framework, you and your team learn to use AI systematically - for repeatable quality instead of random hits.
What you get:
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Ideal for:
- Managers who want to strategically categorize AI
- Teams that are to use AI in their day-to-day work
- Organizations before making AI investment decisions
Drupal AI - Intelligent systems
A chatbot that really knows your content. An assistant that advises prospective students or guides employees through complex processes. With Drupal AI, we integrate RAG systems (Retrieval Augmented Generation) directly into your website. As part of PROGRESSIVE Drupal, the AI fits seamlessly into your existing infrastructure - data protection-compliant, maintainable and expandable.
What you get:
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Ideal for:
- Universities (student advisory services, FAQ assistants)
- Public authorities (citizen service, internal knowledge databases)
- Companies (customer service, product consulting)
PROGRESSIVE Reasoning: Our methodology for AI projects
Good results with AI are no coincidence. They are the result of a systematic approach - from the right question to the validated answer. The PROGRESSIVE Reasoning Framework makes this process repeatable.
1 The prompt
Before we ask the AI, let's clarify: What do we really want to know? What knowledge does the AI need for this? What ambiguities do we need to eliminate beforehand? A well-structured prompt is the difference between useful and brilliant results. We use systematic methods to build context, define roles and set clear boundaries.
Methods:
- Persona definition for AI
- Context engineering (systematic knowledge building)
- Clarity of Thought (preliminary clarification of ambiguities)
- Constraint definition (setting clear boundaries)
2 Concept and design
The AI works - but not blindly. We develop several solution paths in parallel, let them compete against each other and distil the best approach. This competitive process reduces bias and dramatically increases quality. We filter out weak points early on by critically examining them from opposing perspectives.
Methods:
- Tree of Thoughts (develop 3+ solution variants)
- Adversarial validation (critical review from opposing perspectives)
- Golden Path (synthesis to the optimum result)
3 Development and implementation
AI output is raw material, not an end product. We filter, refine and validate - until the result really fits. We not only test whether the solution works, but also whether it remains robust in a real context. Anti-goals help us to explicitly exclude undesirable results.
Methods:
- Iterative refinement
- Real-world validation (practical test)
- Anti-goals (explicitly define what must not happen)
4 Results - your benefit
The framework is designed so that your team can use it independently. After our workshops, you will not only have a solution, but a methodology. The result: repeatable quality, comprehensible decisions and the ability to develop new use cases independently - without having to commission us every time.
What you get out of it:
- Repeatable quality instead of random hits
- Comprehensible decisions instead of black boxes
- Empowerment of your team instead of dependency
- Transferable to new use cases
Why "Reasoning"?
The framework is based on insights from media philosophy (Wittgenstein, McLuhan, Flusser): Large Language Models are "language game machines" - they generate plausible texts, not necessarily true statements. This insight is fundamental for the professional use of AI. Those who understand this ask better questions, recognize the limits of the technology and can use its potential in a targeted manner. PROGRESSIVE Reasoning puts this theoretical understanding to practical use - from prompt architecture to result validation.
Traceable AI: Why methodology is crucial for organizations
AI results without a documented process cannot be audited. This is a problem for organizations with compliance requirements, quality management or reporting obligations. The PROGRESSIVE Reasoning Framework solves this problem.
Documented decision-making processes
Every step in the framework is comprehensibly justified. You can document which alternatives were examined (Tree of Thoughts), which alternative perspectives were considered and why the final solution was chosen (Golden Path).
Reproducible results
The same methodology leads to consistent quality across projects and teams. If a process works, you can repeat it, scale it and teach it to other departments - without any loss of quality.
Built-in quality assurance
Adversarial validation is not an optional check, but an integral part of the framework. Critical perspectives and counterarguments are systematically obtained before final decisions are made.
Audit-capable processes
The framework provides complete documentation for every process step. You can use this directly in compliance reports, internal audits and decision templates - without subsequent preparation.
AI in practice: what is possible with it
From student advisory services to the internal knowledge database - here are some scenarios that we have implemented or can implement.
Intelligent study advice
Prospective students have many questions - about degree programs,
application deadlines, requirements. A RAG-based chatbot answers them 24/7, based on the real content of the university website.
Advantages:
Strategic analysis with AI support
AI can support the analysis of complex data - from the development of new courses of study to the optimization of business processes. With the right setup, even for sensitive, internal data.
Advantages:
Internal knowledge database
Employees spend hours searching for information in documents, wikis and archives. A RAG system makes the collected knowledge accessible using natural language.
Advantages:
Intelligent customer service
A chatbot that really knows your products - and can answer complex questions instead of just referring to FAQ pages. Seamlessly integrated into your Drupal website.
Benefits:
Is AI consulting right for you?
You hear about AI everywhere, but want to understand what's relevant for your organization - without falling for hype.
You want to categorize AI strategically
You hear about AI everywhere, but want to understand what is relevant for your organization - without falling for hype.
Your team should use AI productively
You've tried ChatGPT, but the results are inconsistent. Your team needs a methodology, not just a tool.
You want to implement a use case
You know what you want: a chatbot, a RAG system, an AI integration. Now you need a partner to implement it - with a comprehensible methodology that also meets
audit requirements.
Our AI projects
Showcase
Web relaunch of the University of Siegen
We implemented the web relaunch for the University of Siegen based on our PROGRESSIVE Drupal distribution - with barrier-free UX, Shibboleth single sign-on, connection to the campus management system and a modular editorial concept for complex organizational structures.
Digital time recording for RH Cologne
Together with the Rheinische Hochschule Köln, we have successfully digitized and optimized business processes since 2018, in particular time recording. The introduction of a user-friendly online platform enables flexible working time management, automatic public holiday calculations and transparent dashboards, strengthening the efficiency and future viability of university administration.
UX design and conversion optimization for RH Cologne
We designed and developed an appealing satellite marketing website for the "Digital Transformation Management" degree program on behalf of the Rheinische Hochschule Köln. With a modern design, clear structure and continuous maintenance, we offer an optimal user experience and comprehensive information for potential students.
Your contact persons
Simon Kock
UX and strategy
Your contact for technical solutions, design and user experience issues
Michael Rietz
Project management and management
Your contact for project management, planning and process issues