CRM and ERP
including custom and legacy systems

They sort out email and documents. We start with one process, measure the result and only then scale.
The best candidates are repetitive, based on text or documents, and take up more of your team's time than they are worth. Below are typical cases.
AI reads enquiries from forms and email, assesses their quality, fills in CRM data and passes ready leads to the right person.
Based on the enquiry, price list and previous offers, we prepare a draft that the salesperson only checks and sends.
Messages are classified, assigned to people and given a suggested reply. The team approves instead of writing from scratch.
Invoices, orders, contracts and scans: we extract the data and pass it to your systems without manual retyping.
Regular reports and summaries from many sources are created automatically, ready to read.
Data in your CRM, shop and accounting system stays consistent, and duplicates and gaps are caught as they happen.
The biggest mistake is reaching for a language model where a simple rule would do. Here is how we match the approach to the task.
If after our conversation it turns out your process is better done with plain code or an off-the-shelf tool, we'll tell you straight. We use a language model where it genuinely gives an advantage.
We go through the processes in your company and choose the one where automation gives the biggest effect with the least risk.
We decide what we measure: time saved, number of errors, response time. Without this it's impossible to judge whether the implementation paid off.
We build a working version on real data, with human approval. We test on edge cases, not just typical ones.
We compare the results with the baseline and decide together: roll out, improve or stop at this stage.
We launch the automation with monitoring and alerts, then develop it and extend it to further processes.
Tools such as n8n or Make are great for many tasks. Not every task, however, can sensibly rely on them alone.
In both cases we take care of the same things: logging, monitoring and alerts, error handling, permissions and GDPR compliance, including hosting data in the European Union where you require it. Automation that works in a demo but can't handle exceptions is not an implementation.
The value appears when automation works inside your systems, not next to them.
including custom and legacy systems
Gmail, Outlook, shared mailboxes
PrestaShop, WooCommerce, Shopify
Base (formerly BaseLinker)
automated document flow
Google Drive, SharePoint, PDF, scans
Slack, Teams, notifications
any documented system
We are ready for new challenges
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Native and cross-platform mobile apps for iOS and Android – from UX design to App Store and Google Play publishing.
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Get to know the companies that already chose our solutions. We prepare a unique concept for each client tailored to their business model and marketing goals.