AI automation that actually works

Virtually any repetitive task: writing content, answering emails, processing data, generating reports, handling customer queries, processing invoices, managing social media, qualifying leads, taking phone calls. Examples from practice: voice agents that handle routine phone calls and pass them on cleanly, content pipelines that generate product descriptions, email classification that segments your inbox automatically. If the task follows a pattern, AI can handle it.

Yes. We integrate with most business tools: Google Workspace, Microsoft 365, Slack, Notion, HubSpot, Salesforce, Pipedrive, Exact, AFAS, Visma, Shopify, WooCommerce, and hundreds of others via API. We also work with Make.com and n8n as workflow bridge where direct API connection is not possible. No integration gets rejected, we always find a working route.

We work in phases. First a short analysis to find the impact points in your processes. Then a focused pilot to test assumptions. Only after that do we scale what works and stop where the business case doesn't close. You evaluate at each phase whether we continue, so you don't get locked into a big upfront commitment.

Every automation includes monitoring and error handling from day one. If something goes wrong, you get an instant notification via email or Slack. Workflows have automatic retry logic for temporary API errors. Important processes have fallback paths: if AI fails, it goes to a human handler. With a retainer subscription, we proactively monitor the system and solve problems before you notice them.

Examples from our work: voice agents that handle routine phone calls and pass them on cleanly, content pipelines that generate product descriptions, email classification and invoice processing, lead qualification via smart workflows, and report generation based on data from existing systems. For most clients a combination of these elements runs.

Every engagement starts with a short analysis so we can lock the scope before drafting a proposal. We work through a cost-benefit analysis upfront so you know what the return looks like. No hidden costs, no yearly contracts with vendor lock-in. If the business case doesn't close, we say so honestly.

We work GDPR-compliant with EU-only data storage on request. Customer data is never used for AI training. For sensitive processes (HR, finance, legal) we build on-premise solutions. We sign data processing agreements as standard and document AI Act status per use case. For clients with works councils, we actively coordinate on governance.

Our sweet spot is SMEs and scale-ups (5 to 100 employees). Our approach works best there: direct line with the founder and fast iteration. For specific departments or innovation projects within larger organisations we work fine too. For enterprise procurement processes with tenders we fit less well, which we say honestly rather than force-fitting.