Different business problems, each translated into a working system. Client engagements come first; CrossIQ is a product Kalax builds and maintains itself.
Systems built in client engagements. Client names aren't public, so each case study covers the business problem, the system that was built and the technical decisions behind it.
End-to-end n8n automation for a digital agency, connecting lead capture, operational workflows, client communication, and project delivery.
What it demonstrates: Turning a multi-step business process into orchestrated automation across forms, email, a database and WhatsApp, with human oversight kept in the loop.
Read case studyIntelligent WhatsApp bot handling appointment scheduling, reminders, and follow-ups with Google Calendar integration.
What it demonstrates: Designing a customer-facing conversational flow around a full booking lifecycle, integrated with a calendar and a booking database, with a clear handoff to a person.
Read case studyOn-premise retrieval-augmented generation system for a professional services firm handling sensitive client documents.
What it demonstrates: Building retrieval-augmented AI under strict data-sensitivity constraints, with model serving, vector storage and the staff interface all inside the client's own infrastructure.
Read case studyAn AI-native marketing intelligence product. It connects AI clients such as Claude, Codex and Gemini to Google Ads, Search Console and GA4 so they can run evidence-backed marketing audits, and apply changes only after preview and explicit approval.
What building it demonstrates: Designing and building a product end to end — OAuth integrations with third-party platforms, cross-source analysis, and a governed preview-and-approve execution model.
Facing a similar business problem? Start with Diagnose — technology isn't presumed. Already know what you need? Email the requirement and discuss scope.