Straight answers about results, cost, timelines and data.
Repetitive work that follows the same steps every time: reports, copying data between systems, drafting documents from templates and finding information in company files. The result is time saved, fewer mistakes and work that is ready on time.
Waterprof saves 45 minutes on every LinkedIn post, over 2 hours a week. Before starting Qynzoo, our founder also automated weekly retail reporting and built an AI assistant for risk registers, as an employee. Those were not Qynzoo client projects, but the experience shapes how we build every custom solution. See all results.
It depends on scope. A single automation is a different project than a custom machine learning model. Every project starts with a free 30-minute call, after which you get a clear estimate before committing to anything.
Most automation projects go live in 1 to 3 weeks: a free intro call, a short plan, building and testing, then launch and support. Machine learning projects vary more, depending on the data available. See the full process.
Almost any repetitive, rule-based process: reporting, data entry and syncing between systems, invoice and order processing, drafting documents from templates, answering internal questions from company documents, and onboarding workflows.
Yes. We design every system with GDPR in mind. For sensitive data we run the automation on your own infrastructure, so no data leaves your servers. For cloud tools we use GDPR-compliant platforms with a data processing agreement.
Yes. Local AI keeps sensitive data on your own infrastructure: no dependency on an outside cloud service, models tuned to your data, full control and easier compliance with rules like GDPR.
A full-time developer costs tens of thousands of euros per year and takes months to onboard. Off-the-shelf SaaS tools are rigid and charge per seat or per workflow. Custom automation is built for your own workflow, costs less to run, and you own the system.
Yes. We offer support, updates, monitoring and help adapting the system as your business changes.
Yes. We give practical AI training at your office, for groups of 5 to 10 people or more. Your team learns to use ChatGPT, Claude, Copilot, Higgsfield and n8n on its own daily tasks. About the training.