Business Process Automation with n8n, Make and Zapier

End-to-end automations connecting CRMs, databases, AI models and internal tools. Custom-built for operational bottlenecks.

I design and deploy automation workflows that eliminate repetitive operational work — connecting tools that weren't designed to talk to each other and inserting AI judgment where manual decisions used to happen.

Common use cases I've built:

Lead enrichment pipelines pulling data from multiple sources, scoring with an LLM, and pushing prioritized leads to CRM

Document intake workflows: incoming files trigger extraction, validation against business rules, and routing to the right human reviewer only when needed

Sales ops automation: proposal generation, contract routing, and post-sale handoff to operations

Internal reporting: scheduled data aggregation from SaaS tools → cleaned dataset → automated delivery to stakeholders

My approach I don't just wire tools together. I map the actual business process first, identify the 20% of steps where automation pays off most, and build the smallest automation that removes the bottleneck. Most of my workflows include AI components (Claude or GPT) for the parts that used to require human interpretation — not just for show, but because they genuinely outperform rigid rule-based logic.

Example: I built a compliance document review pipeline that receives documents via webhook, fetches applicable rules from a database, analyzes the content with Claude against those rules, and then routes the result — auto-approving low-risk items, escalating high-risk items to human reviewers via Slack, and logging everything for audit. What used to be 30 minutes of manual review per document now takes 15 seconds.

Tools I work with daily: n8n (self-hosted), Make.com, Zapier, plus custom Node.js/Python glue code when platforms hit their limits.