AI solutions by industry Germany: sixteen industries, built from real work.
AI solutions by industry Germany means NexPatch builds solutions not generically, but along the actual workflows of individual industries. This page shows all sixteen industries NexPatch serves today, each with the typical time sink that AI agents and private AI infrastructure solve there, with no slider or hidden list to click through first.
All industries at a glance
Every industry has its own workflows, its own systems and its own typical time sink. The order below is not a ranking. Where there is an arrow, an industry page already exists.
| Industry | Typical time sink |
|---|---|
| Manufacturing Industry› | Spare parts demand and maintenance intervals are estimated from experience |
| Tax Advisors› | Vouchers are captured and matched one by one |
| Law Firms› | Case files are re-read for every question |
| Logistics & Freight› | Shipment exceptions are tracked by hand |
| Hospitals & Clinics› | Discharge letters and clinical coding tie up hospital physicians |
| Medical Practices & MVZ› | Documentation and phone calls eat into valuable consultation time |
| Healthcare Providers› | Care documentation and quality audits tie up specialist staff |
| Financial Services› | Every recurring transaction is reviewed individually |
| Insurance› | Claims review and document matching run by hand |
| Housing Cooperatives› | Measurements, quotes and tenant inquiries are duplicated manually |
| Architecture Firms› | BOQs, building code audits and meeting notes tie up design time |
| Car Rental & Fleet› | Damage reports, fines and vehicle returns are handled manually |
| Research Institutes› | Grant applications and reporting consume research capacity |
| Trade Fairs & Events› | Exhibitor communication and floor planning tie up prep weeks |
| Concerts & Tours› | Rider reviews and presale forecasts rely on guesswork |
| Music Production› | Metadata tagging, catalog rights and split sheets are maintained by hand |
| Energy Utilities› | Consumption data is only analysed after the fact |
| Pharma & Chemicals› | Deviation reports and batch releases tie up specialists |
| Retail & E Commerce | Reorder quantities are estimated rather than calculated |
| Staffing Agencies | Candidate profiles and job requirements are matched manually |
| Public Administration | Every application goes through repetitive manual handoffs |
| Real Estate | Contracts are reviewed page by page |
| Wholesale | Purchase orders are retyped manually between systems |
Why industry specific and not generic
A time sink in a tax practice is different from one in logistics, and flattening those differences means building something useful for neither. That is why specific industry rows appear here rather than three showcase examples: you should find your sector without having to guess whether we serve it.
Linked sectors feature dedicated deep dive pages, with more added continuously. The time sink in the table holds in every case: it comes out of projects or out of conversations with companies in that industry, not from a fictional list.
How we build an industry solution
We don't build a generic tool and adapt it to an industry afterwards. The first questions are which statutory or professional duties apply, which specialist systems you already run, and which recurring task is eating the most time. Only then does it become clear whether private AI infrastructure, AI agents or both give the bigger lever. How far that goes is visible on the tax advisors industry page as well as for law firms under RAG für Kanzleien.
How an individual industry page is structured
Every built-out industry page has the same structure: the standards and professional duties that apply in that industry, the specialist systems we typically connect to, and at least one use case with a clearly labelled model calculation. The same structure throughout, so you can put two industries side by side and see where the requirements genuinely differ.
How a typical industry engagement starts
Regardless of industry, a project starts with an internal pilot within 72 hours and reaches productive rollout into day-to-day operations in 4 to 10 weeks. Which solutions come into play, from AI agents to the Orpheon forecasting platform, depends on the use case and gets scoped together with you in the first conversation. The solutions overview gives you the range, and how we secure ongoing operations is on the operations page.