Used the right way, AI speeds up the work in your business enormously. We make sure your team uses it the right way: agents work with your documents and tools, and you review the results to the right degree.
Current AI models are capable and cheap enough to handle many recurring office tasks, once they have the information they need, access to your programs and the right level of human review. If you mainly use AI to ask questions, you probably still carry out the next steps yourself. Agents let you hand over that work too. You receive a result to review and gain time for customers, decisions and projects you have not been able to get to.
You describe the task the way you would explain it to a new employee. For example: check the incoming invoices every Monday, draft a reply to each customer enquiry as soon as it arrives, or prepare the quotation for this job. The agent can do a task once, on a schedule or whenever a particular event occurs. Together we agree what a useful result needs to contain.
We connect the tools your team already uses for projects, tasks, files and documentation, so the agent finds the knowledge it needs there. It gathers the information, checks it against your requirements and prepares the result with its reasons and sources. It carries out several steps and checks its work against the agreed rules. It brings missing information and open questions back to you.
Before anything is booked or sent, someone checks the result: your team or, in optimization, us. Prices, contracts, payments and anything that goes to your customers are approved by the responsible people in your company. To make checking quick, the agent gives its reasons and sources for each result and says what to check. Small, reversible steps can run with spot checks once they have a proven track record. The greater the consequences of an error, the closer the review. That leaves your team more time for the work that needs its expertise.
Hand over incoming invoices, replies to recurring customer enquiries, draft quotations and research. You set priorities and keep track of progress and results. We set up agents for your everyday work. Together, we define which tasks they take on, how your team reviews results and which decisions stay with you. Our offer has four stages, and you choose only the ones you need.
After a free intro call, we spend one day on real cases from your business. Afterwards you know which task is worth handing over and where to start. An honest answer can also be: this does not need AI yet.
We connect your existing tools for files, tasks, email and documentation to the agents and practise with your team how to hand over whole tasks. Nothing is built along the way; that is what development is for.
We build custom software for connections and workflows that go beyond the ready connectors: programs without a ready interface, fixed automations for rule-based steps and agents that run without being started. You own the code.
We run the agreed agents and check their results. Prices, contracts, payments and anything that goes to your customers are approved by the responsible people in your company. Every month we review how the AI works: what it costs, how often its results are accepted and where documents are missing. Corrections go back into the source, and we test changes on the same real examples. If your team wants to take over a task itself, we hand it over with review instructions, practice on real cases and a supervised month.
An existing AI tool remains a third-party service. When we build a solution of your own, you own the code. In both cases, we explain where data is processed, who checks the results, and which dependencies remain.
You know which parts rely on an existing service, which data goes there, and which decisions remain with your team.
We build owned solutions with widely used open-source technologies and web standards, so other developers can take them over.
We walk your team through the app structure, core workflows, and common places where changes are made.
A custom CPQ configurator automated the complex logic of bills of materials and quotes, where off-the-shelf software hit its limits.
CPQ and product configurator, Bill-of-materials and routing logic, Sales, purchasing, and manufacturing, Finance and document workflows, Process Automation
China website localization, CRM lead process, Baidu and WeChat campaign logic, Power BI and KPI reporting, Content and distribution strategy
Web Design & Development, Search Advertising, Conversion Tracking, CRM Implementation
Product discovery for booth-building workflows, Inventory and project logic, Offline-first PWA development, QR and barcode workflows, XPO Market integration
Customer portal and dashboard, Log-data pipeline, KPI and ROI logic, Frontend and backend development
CRM and partner-data model, Power BI reporting, China web and campaign data, Lead and partner process, Local-team training
Digital Sales & Marketing, ERP & CPQ Configurator, Custom Business Apps, AI Sales Assistant
E-Commerce Development, Product Configurator, Advanced Conversion Tracking
AI Prospect Research, CNC machine and website analysis, Lead scoring by technical buying signals, Personalized sales outreach, Outreach preparation
We have worked with manufacturers, machine builders, exhibition stand builders, medical technology and e-commerce businesses, and seen how differently each one operates. An AI agent is only as good as the software and data it works in. That is exactly what we build for businesses like these.
Our perspective on useful AI applications, dependable implementation, and when an existing tool is enough or an owned solution makes sense.
Since early 2026, five products have promised an AI agent that keeps working after you close the laptop. What matters is who runs its computer, who approves its steps and how it learns what is right in your business.
Read moreAI agents write our code, a second agent reviews it, and a person approves what goes live. The path a change takes from brief to approval.
Read moreWe like to start with the back-office work that slows your business down, which of those tasks an AI agent can take over, and which software it needs for that.
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