For businesses that cannot afford broken workflows, manual errors, or unreliable integrations.
manual work saved
applications supported
marketing workload reduction
Map the system logic before implementation so automation does not collapse into spaghetti.
Build AI-assisted workflows with scoring, review layers, and clear status tracking.
Design reliable integrations with validation, retries, and recoverable sync flows.
Reduce cost without copying over brittle logic, dead automations, and legacy workarounds.
Collected, enriched, and scored 1,300 restaurant leads in Amsterdam while saving an estimated 90-100 hours of manual work.
Built a multi-step content pipeline that monitors AI news, filters relevance, and drafts posts for LinkedIn, X, and Threads.
Redesigned brittle legacy workflows into modular n8n systems with clearer logic, lower costs, and better maintainability.
Structured integrations around retries, validation, sync status, and recoverability so business-critical flows keep operating.
I start with workflow architecture first, because automation fails when logic is vague and ownership is unclear.
Better AI automation is not maximum autonomy. It is reliable throughput with scoring, review, and explicit status.
Good migrations from Zapier to n8n redesign the brittle parts instead of copying old assumptions into a new tool.
Reliable API integrations are recoverable: validation, retries, queues, and sync status are what keep systems alive.
If you need workflow architecture, AI automation, or API integrations for real business use, the fastest path is to hire me on Upwork.
