Business Operations & AI Automation
Five systems delivered for three clients since March 2026, all deployed to production. The two below are the ones I can show in full: discovery, workflow architecture, AI classification, human-in-the-loop validation, and delivery. Each case study includes the full write-up, architecture, and a short video walkthrough.
Inbound demo requests are automatically validated, classified by AI, routed into HubSpot CRM, logged in Airtable, and surfaced to a human operator via Telegram — replacing manual inbox triage with a structured, auditable, human-controlled pipeline.
Stack: Tally · n8n · Claude · HubSpot CRM v3 · Airtable · Telegram
Result: handling time cut from ~10 minutes to under 2 (~80%). 45 requests during the launch phase, around 100 per week today. Across those 45 launch requests, ~70% of AI drafts were approved without edits. In production since June 2026.
OpsPilot - AI Lead Intake & Follow-Up System
Scattered financial emails turned into a structured, audit-ready operating layer: AI document classification, automated financial tracking, and a Telegram-based AI assistant for instant answers on contributions, expenses, and document status.
Stack: Gmail · Claude · n8n · Google Drive · Google Sheets · Telegram
Result: $2.0M+ of project spend processed through the historical back-fill, 46/46 payment records linked to their supporting evidence, 213 documents centralized. An estimated 17.5 hours of manual work saved across 70 onboarding emails. In production since June 2026.
AI Financial Admin Automation for a $2M+ Property Project
Antoine Moineaux · LinkedIn · GitHub · [email protected]