A selection of our work – with real metrics. Sensitive projects are shown anonymized, in line with our confidentiality commitments.
AI-powered IT support & ticket dispatching
IT services
netcos GmbH
Growing volumes of emails and tickets had to be reviewed, classified and routed manually – up to two person-days per week.
An LLM-based ticket sorting and IT support assistant with classification, prioritization and integration into existing ticketing and email workflows.
Outcome
70% automation, 90%+ accuracy and significantly faster response times.
3D computer vision quality assurance
Automotive / quality assurance
B.B.W. Group
Manual quality inspections were time-consuming, inconsistent and hard to scale at premium quality standards.
A 3D computer vision system with AI algorithms for automated defect detection, digital twins and real-time quality validation.
Outcome
80% automation and an inspection process roughly 97% faster.
AI strategy & platform roadmap for procurement
Procurement / backoffice
Materna / Infora
Procurement processes were costly, lengthy and complex – many steps requiring technical and legal expertise.
A field-study-based AI strategy: process and data analysis, stakeholder interviews and joint prioritization with management.
Outcome
A roadmap for a multi-module AI platform and two to three prioritized use cases.
Agentic AI for infrastructure monitoring
Critical infrastructure
Critical infrastructure operator (anonymized) · Anonymized
A highly connected infrastructure network with 30,000+ sites required live, historical and simulation data from many sources.
An end-to-end agentic AI architecture with specialized tools for querying, visualization, simulation and monitoring – backed by graph data.
Outcome
Better real-time monitoring, more transparency and reliable decision support.
Process optimization in pharma manufacturing
Pharma / manufacturing
Pharmaceutical company (anonymized) · Anonymized
An expensive process column with many aggregates – unclear which parameter settings optimize performance, quality and efficiency.
An optimization tool for hundreds of interdependent parameters using statistical and ML methods, while preserving safety constraints.
Outcome
Projected +20% final product quality and up to −30% cost.
RAG for technical documentation
Industrial automation
Machinery manufacturer (anonymized) · Anonymized
Large volumes of structured engineering documentation were spread across many specification layers and document types.
An end-to-end retrieval system for multi-level engineering documents with cross-document linking and reasoning.
Outcome
Reliable, source-cited answers for engineering-critical decisions.
Agentic AI platform for engineering knowledge & proposals
Engineering / infrastructure
European engineering group · Anonymized
Knowledge, proposal data and project information were scattered across countries, business units and systems (Microsoft, ERP, SharePoint), making consistent access and governance hard.
A target architecture for a secure agentic AI platform combining enterprise data, identity, governance and search with specialized agents for tender analysis, proposal creation and expert search.
Outcome
A scalable platform blueprint with clear MVP priorities and a roadmap for deploying specialized agents across engineering workflows.
AI-assisted operations monitoring
Software engineering / IT operations
Software engineering company · Anonymized
Complex IT environments with many interconnected subsystems made manual monitoring time-consuming, reactive and hard to scale.
An AI-assisted operations assistant that helps operators monitor systems, identify relevant incidents and accelerate response workflows.
Outcome
More transparent IT operations, faster issue handling and a stronger basis for AI-supported operational decisions.
Agentic access control layer
AI governance / enterprise security
AI Phase R&D · Anonymized
As AI agents interact with tools, documents and business systems, traditional access-control models fall short for autonomous, context-dependent and auditable workflows.
A concept for an agentic access-control layer connecting users, roles, tools, data sensitivity, approval rules and execution context into one policy-driven governance model.
Outcome
A research-backed foundation for safer agents: permission-aware tool use, traceable actions and human approval for sensitive workflows.
AI in technical higher education
Education / technology
Technology company · Anonymized
Students increasingly use AI for coding, writing and research, while traditional teaching methods rarely reflect how AI changes learning and skill development.
A structured whitepaper combining market research, educational analysis and AI trend assessment into recommendations for curricula and future teaching formats.
Outcome
A thought-leadership asset showing how to integrate AI into technical education responsibly, with a clear view on assessment and future skills.
AI learning companion / study buddy
Education technology
Technology company · Anonymized
General AI tools give students direct answers instead of supporting deep understanding; educators need tools that guide learning without replacing it.
A structured discovery phase with student and educator interviews, course-material analysis, benchmarking and a concrete feature definition for an AI learning companion.
Outcome
A validated foundation for an AI learning platform: user needs, feature priorities, prototype directions and an implementation roadmap.
Digital case file maturity model
Public sector / administration
Public administration context · Anonymized
Public organizations introduce digital case files without aligning processes, roles, governance and adoption, creating fragmented usage and unclear responsibilities.
A maturity model and target picture structuring the topic across organizational, process, technical and governance dimensions.
Outcome
A framework to assess current maturity, define target states and identify gaps toward future digital operations.
AI-enabled future plant
Manufacturing / industrial operations
Industrial manufacturing company · Anonymized
Advanced automation and production data were fragmented across plants, machines and systems, making an integrated AI target picture hard to reach.
A strategic concept connecting manufacturing trends with concrete use cases: global data layers, robotics, autonomous execution, root-cause analysis and production optimization.
Outcome
A structured target-picture concept showing how existing digitalization building blocks translate into scalable AI capabilities.
Sustainable engineering hackathon
Sustainability / engineering
Engineering education & innovation context · Anonymized
Future engineers need to evaluate technical decisions by sustainability impact, not only feasibility and cost – traditional formats lack structured decision logic.
A hackathon format bringing future engineers together to solve real sustainability challenges, with AI-supported evaluation and structured selection criteria.
Outcome
A hands-on format connecting sustainability, engineering decision-making and AI-supported evaluation into one practical challenge.
AI in agriculture innovation challenge
Agriculture / technology
Technology company · Anonymized
Agriculture offers strong AI opportunities, but use cases must be translated into practical, testable formats with a structured environment to validate ideas.
An innovation and hackathon concept around AI in agriculture, designed to activate teams, explore applied use cases and generate tangible prototypes.
Outcome
A structured hackathon concept for identifying and prototyping AI opportunities in agriculture.
AI prototype sprint for learning tools
Education technology
Technology company · Anonymized
Before building a full AI learning product, the most important features must be tested with students, educators and real course material – quickly, without overbuilding.
A prototype-oriented validation approach: prompt-based prototypes, feature testing, feedback loops and translating insights into an MVP roadmap.
Outcome
A concrete product direction backed by user insights, prototype requirements and staged implementation planning.
AI talent sourcing for technical teams
AI / software / data
Multiple company contexts · Anonymized
Standard recruiting processes struggle to assess technical depth, project fit and practical AI capabilities when hiring strong AI talent.
AI talent sourcing through the Munich AI ecosystem and university network: candidate identification, technical screening, shortlists and project-based team composition.
Outcome
A repeatable talent-access format for companies needing qualified AI profiles for projects, student initiatives or long-term hiring.
AI student project format
Cross-industry
Multiple company contexts · Anonymized
Many organizations want to explore AI use cases but need a flexible format with technical talent, clear structure and limited long-term commitment.
A structured student project format connecting companies with selected AI, ML, data and software talent, including scoping, team composition and ongoing support.
Outcome
A practical bridge between AI exploration and implementation, letting companies test ideas while accessing motivated technical talent.
AI literacy workshops
Cross-industry
Multiple company contexts · Anonymized
Companies have high interest in AI, but teams lack a shared understanding of what AI can realistically do, where the risks are and which use cases to prioritize.
Workshop formats combining AI fundamentals, use-case discovery, responsible AI discussion and company-specific prioritization.
Outcome
A clearer shared understanding of AI opportunities, risks and next steps across business and technical teams.
AI strategy & target architecture workshops
Cross-industry
Enterprise & mid-market organizations · Anonymized
Organizations need to move from scattered AI ideas to a coherent target picture defining data sources, systems, governance, architecture and priorities.
Structured workshops, stakeholder interviews, process analysis and architecture design that translate ambition into concrete platform requirements and prioritized steps.
Outcome
A practical AI roadmap connecting business value, technical feasibility and organizational readiness.
These are anonymized excerpts across strategy, research, implementation, innovation formats and talent. In a short call we'll walk you through the references most relevant to your situation and concrete starting points for your context.
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