Lead Automation System
Capture, qualify, route and follow up with incoming leads automatically.
- Forms, WhatsApp and email intake
- AI qualification
- CRM sync
- Follow-up workflow
AI Operations & Automation Systems
We design AI automation systems that connect customer enquiries, support, documents, business data, human approvals and reporting into reliable end-to-end operations — built for European SMEs, not for demos.
An AI Operations OS for European SMEs — one path from a first customer message to a measured operational outcome. Select any stage for its production concern.
Three productized systems, each usable on its own or combined into the full Operations OS.
Capture, qualify, route and follow up with incoming leads automatically.
Reduce repetitive customer support while keeping escalation and approval under human control.
Connect leads, support, documents, business systems and reporting into one governed automation layer.
Each project below will become a real, documented automation system. Status is shown honestly — nothing here is claimed as live before it is.
Map the business problem and the current manual process.
Connect APIs, data, AI and business actions.
Use real scenarios, failure cases and approval rules.
Monitor executions, recover failures and measure results.
Tools are replaceable adapters. System design — how data, AI, approvals and monitoring connect — is the core value.
n8n
PostgreSQL · Supabase
OpenAI / Claude / Gemini · RAG · vector search
REST APIs · Webhooks · OAuth · JSON
JavaScript · Python · SQL
Docker · Git / GitHub · monitoring · cloud / VPS
Avoid duplicate business actions.
Schema-validated AI outputs.
Sensitive decisions remain reviewable.
Retries and centralized error handling.
Credentials stay out of frontend and source code.
Important decisions and actions are recorded.
Executions, failures and outcomes can be measured.
Systems can support English, Spanish and German. Language is treated as metadata inside the same operational architecture, rather than building a separate automation system per language.
Production-style architecture, deployments, monitoring and failure handling.
Reusable automation systems configured for real businesses.
Repeated patterns can later become packaged products and services.