Specialist topic · AI for the organization · WE BUILD AI
AI potential for strategy, organization and processes: put to work.
Making leadership and teams more effective, because strategy, processes and products work with AI. The system level of the transformation, the counterpart to AI for leadership: people there, the system here. With WE BUILD AI we bring new capabilities, automation and digitalization into practice: cleanly integrated, productive in operation, with real ownership.
AI consulting & engineering from Cologne, our partner for implementation.
The problem
The AI is bought.
It just never arrives in daily work.
Tools are licensed, a pilot has been running for months, and none of it becomes reliably productive. That is rarely about the technology. Most AI initiatives fail for organizational reasons: no clean integration into workflows, no ownership, and solutions built past the very people who are supposed to use them.
Familiar scenarios:
- AI tools are licensed, but hardly anyone uses them day to day.
- A pilot has been running for months. It never found its way into productive operation.
- A process eats time AI could largely take over, but nobody dares touch the process.
- Bought point solutions that do not plug into existing systems and workflows.
- Individuals experiment, but no shared, reliable standard emerges.
- Too many stakeholders, too little decision, and the solution drowns in alignment instead of going live.
Most teams know exactly where they waste time every day. What is missing is someone who translates that into a productive solution. And stays with it until it runs.
— WE BUILD AI
The core
Value is not created in the tool. It is created in operation.
A licensed tool is not a result, and a pilot is not an operation. Value appears once AI is integrated into the processes and actually used in daily work. What counts is not the next use case on the list but delivery capability: from idea to productive operation, with clear success criteria, no point solutions, and a handover that puts the team in charge of running it.
Track record of our implementation partner WE BUILD AI
Worth a listen
The conversation that became a partnership.
Before WE BUILD AI became our implementation partner, Frederic Bauerfeind and Michael Schön met on the podcast: two perspectives, the same stumbling blocks. A conversation about myths, feasibility and the courage to simply start. In German.
„AI im Unternehmen? Erst mal Hausaufgaben machen.“ (“AI in the company? Do the homework first.”)
Frederic Bauerfeind (WE BUILD AI) in conversation with Michael Schön (Die Dranbleiber): why AI projects rarely fail on the technology, but on the courage to start. “We stumble over the same topics, just from different directions.” German audio.
Playing the episode connects to Podigee (podcast hosting). Details in the privacy policy (German).
The maturity model
Where an organization stands, and where it can grow.
AI grows into an organization in stages. Most are on stage 1 or 2 today; the real value moves to the right. We walk that path together: step by step, with lighthouse projects instead of overload.
Assistive AI
People work directly with AI tools such as Copilot or ChatGPT. AI as a personal assistant, focus on AI literacy.
e.g. Copilot for email and research.
Integrated AI
AI automates individual tasks and workflows, integrated into existing processes. Targeted, measurable efficiency gains.
e.g. automated invoice processing, support chatbots.
Embedded AI
AI is embedded in many or all workflows, automated end to end. Systems interlock, with minimal manual intervention.
e.g. entire flows orchestrated by AI.
Transformative AI
AI enables entirely new products and business models. Value creation is rethought.
e.g. Lemonade, where AI defines the whole business model.
Our job is not the leap to stage 4, but the next solid step that actually holds in operation.
Two levers
Where AI makes the biggest difference.
AI works in two places: inside, where processes eat time, and outward, where users have long come to expect it. We start where the lever is greatest.
AI in the processProcess-centric
The WE BUILD AI team analyzes the workflows, finds the processes with the greatest automation potential and builds the right solution: integrated, scalable, operable by the in-house team.
- Automated document & proposal processing
- Agentic AI in customer service: understand, resolve, escalate
- RAG research across large knowledge bases
AI in the productProduct-centric
Users expect AI as part of a good product. The WE BUILD AI team builds AI features into existing products or develops new ones: from the user's perspective, technically clean, handed over production-ready.
- Personalized recommendations & smart search
- Optimization engines for complex planning
- Automatically generated reports
From the field
AI that went into operation.
Selected projects from the WE BUILD AI team, from the process inside to the product in users' hands.
80%of semester planning automated.
Teaching and resource planning across 40 locations, 20,000 students and 5,000 lecturers cost more than 35 FTE a year, done manually in Excel. We built an optimization engine that generates valid schedules out of 2.8 billion possible combinations.
A bidding process that prepares itself.
The manual bidding process was time-consuming and repetitive. Our AI bid assistant automatically matches requirements against historical responses and prepares specification documents, with a human in the loop for quality assurance.
A service team of 4,000, noticeably relieved.
Repetitive first-level requests tied up enormous capacity. We developed an agentic-AI approach that understands, classifies, resolves or cleanly escalates requests, with a roadmap from prototype to safe rollout.
100,000+documents, searchable in seconds.
Slow information retrieval was holding back the R&D process. We built an agentic research assistant based on embeddings, vector search and RAG workflows, validated with the R&D teams.
Project examples from the WE BUILD AI team.
How we get moving
From idea to operation: in weeks, not quarters.
A directed path with clear deliverables at every station. No workshop flash in the pan. At the end stands a solution that runs. The technical build sits with WE BUILD AI. We make sure leadership and team adopt the solution, and keep it.
We stay with it until the team runs the solution itself: ownership, not a ticket.
What comes out of it
No slides. Something that runs.
How we deliver
- Success criteria up front: defined before the project starts, measured in daily work.
- Built hands-on: by engineers, not slide decks.
- Integrated into existing systems: no point solution, production-ready and secure.
- Handover included: we stay with it until the team runs it itself.
What remains
- A productive solution: in operation, not in pilot status.
- A clear process: relieved, measurably faster, reliable.
- Acceptance in the team: the new way of working sits at the human level.
- Ownership in-house: the team can run and evolve the solution itself.
First hand
Voices from the delivery side.
Client voices from the WE BUILD AI team, translated from German; further references on request.
What WE BUILD AI stands for
What we promise. And keep.
Why with us
Our approach, delivered by two worlds.
There is a simple reason to build AI with us: we think about the side that decides success or failure, whether people actually adopt the solution. The Dranbleiber know leadership and team dynamics from the craft; WE BUILD AI builds the AI that holds. Together, the big topic becomes something that lasts in daily work.
WE BUILD AI is a consultancy from Cologne specialized in AI implementation, founded by Frederic Bauerfeind. The ambition: to own the entire lifecycle of an AI solution, from concept through solution design and engineering to integration, operation and handover. Pragmatic, lean, no tech gimmicks.
To the WE BUILD AI site
This is the system level. The other half is people.
Here, AI gets built firmly into processes, products and the organization. For it to land in daily work, it needs the leadership and people level: mindset, self-organization, acceptance. That is covered by the Innovation Network. Two flight levels, one transformation.
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