UHRWERK AI

Your company is running.Make it AI-sovereign.

Improve what works
Eliminate weak spots
Create what is new

Through workflows that optimally leverage your existing IT system, intelligently complement it, and act under control.

Uhrwerk.AI brings AI workflows and AI agents into your ERP, CRM, DMS, and email — GDPR-compliant, EU-hosted or on-prem, built for mid-market companies.

30+AI-nodes for workflow engine
50+Connectors
200+Supported file formats

Predict stockouts. Get critical reorders drafted automatically.

Make every workflow move faster.

Automate the repetitive work across your systems.

Integrations

34
First-class connectors
11
Supported protocols
154
Agentic tools
37
Document types

Check my systems

Open the demo

Where transformation gets stuck.

How Uhrwerk turns that into controlled automation.

AI often stops at the chat window
Sovereign in your infrastructure
The strategy looks modern, but the real work still sits in ERP, email, and line-of-business systems. EU-hosted, your cloud, or on-prem: data, rights, budgets, and deployment cost stay under control.
Standard connectors are not enough
AI-elastic adapters
Niche ERPs, legacy logic, and local system houses rarely fit big-platform kits. Uhrwerk connects ERP, CRM, DMS, Office, and niche apps — without a big bang.
Processes are not cleanly documented
People-led process insight
Decision rules and approvals live in heads and screen flows. Process owners describe workflows; Uhrwerk turns documents, usage signals, and screen recordings into flows.
Agentic AI needs trust and control
Observable workflows
IT needs to know which models act, which rights are used, and what the process costs. Rights, approvals, logs, cost limits, and an audit trail make every action traceable.

Impact

What Uhrwerk does for your company.

Lesscoordination
Fasterresponse
Fewer errors& rework
ControllableAI cost
More time forvalue creation

Let's start with a process where the difference can be measured.

We find the right entry point. If there is no clear benefit, we say so. If there is potential, we prove it on the live system.

60–80%average time saving per process
6 weeksFrom start to finished implementation

Advantage

Uhrwerk instead of a tool zoo.

Typically a chat service, an automation toolkit, and a separate compliance project sit side by side. With Uhrwerk that is all in one: workflows in your systems, with rights, logs, and approvals.

What is included

Classification and documentation per workflow
Risk assessment with rationale for why use cases are not high-risk — as the basis for your AI register, which we deliver pre-filled.
Human control by design
Suggestions, approvals, and deviations are technically separated and logged. Metrics show how often suggestions are changed — evidence of effective control.
Logging and traceability
Audit-proof storage of inputs, suggestions, approvals, and changes — the technical basis for GoBD and data-protection evidence.
Contribution to process documentation
Technical description of data flows, processing steps, storage locations, and controls as a module for your overall process documentation.
AI literacy training under Art. 4
Role-specific training for the workflows in use, including documentation and annual refreshers.
Documents for data protection and co-determination
System descriptions, data categories, logging overviews, processing agreements, and clear packs for works-council agreements and expert reviews.
Transparency on models in use
Clear which models run for what and where processing happens. On-prem, processing stays in-house.
Built in from the start
Documentation, technical evidence, and training come with the system — so you can fulfill your operator and data-protection duties clearly and auditably.

Team

Excellent expertise.

Notice under Art. 50 EU AI Act: Some team portraits on this page may have been AI-edited or augmented.

CEO
Johannes-Lucas Löwe
- B.Sc. & M.Sc. Artificial Intelligence – Machine Learning (Radboud, NL | NUIG, Ireland)
- Extensive project experience across the European and German markets
- Publications on LLM-inference optimization at international conferences
- Background at the intersection of business, technology, and project management
Chief Technology Officer
Dr. Christian Ziegler
- M.Sc. Informatics, TUM
- Dr. rer. pol.: Quantitative Analysis of Decentralized Information Systems (TUM School of Management, summa cum laude)
- Former CTO of two startups (€0 → €2.5M revenue) and technical strategy for another valued at $30M
- >15 years of programming experience
- R&D and operation of applications with 60,000+ MAU

- Entrepreneur and investor
- Tax adviser for more than 10 years
- Focus: Operations and outreach
Operations
Jakob Neumann
Investor / SMU Network
- Many years of experience advising mid-sized customers at SAP & Oracle
- Focus: Partnerships and business development
Business Development
Ansgar Bosse
Sales SAP / Oracle
- Independent management consultant since 1998
- Built KPS as a transformation consultancy
- Focus: Enterprise & Customer Interaction
Customer Success
Matthias G. Nollenberger
VP / Managing Partner @ KPS AG
- Physicist and AI/software engineer
- LLM agent research at EPFL
- Focus: AI engineering and agentic systems
Founding Engineer, AI
André Charneca
M.Sc. @ EPFL, UBS