I design and build n8n and Make.com pipelines that take businesses off manual spreadsheets and email — document review, lead outreach, and client-facing chat, running on their own data.
Each system below is a working pipeline, not a mockup — built end to end in n8n, with error handling and logging.
Drops a lease PDF into Drive and gets back structured rent, term, and escalation data in Sheets — every value tagged with a status and a verbatim quote from the source document, cross-checked before it's written.
Sources and scores real estate agent leads, then manages the outreach cycle to brokers and agents through Airtable — built for B2B services reaching out to the industry, not property listings.
A RAG chatbot on the WhatsApp Cloud API that answers questions against a lease document library, with vector search over the lease text and session memory for follow-up questions, plus lead capture for new enquiries.
Procurement automation that scrapes supplier listings, deduplicates and enriches them, then runs a weighted AI scoring pass before writing qualified suppliers into a CRM.
Turns a Google Sheet topic backlog into a daily LinkedIn post — drafted, illustrated, and tracked through to publish status without manual writing each day.
n8n is my primary build environment; Make.com covers a second set of client scenarios.
I'm Arif, building a freelance automation practice — Arif Simplifies — turning manual document review, lead outreach, and client Q&A into n8n and Make.com pipelines that run on their own.
The long-term direction is toward a career as a business automation strategist and AI solutions consultant — someone who sits on the business side of a problem and the technical build side at once.