AI content pipelines
Multi-stage Gemini and Claude workflows that classify, extract, score, and enhance inbound content — email, RSS, web scrapes — into structured records ready for downstream systems.
BFD Mapping is a one-person studio that designs and ships AI workflows, internal automation, and data integrations for operators who are tired of demos and want results in production.
Every capability below is running in production today across my own businesses and client engagements — not a portfolio of mockups. If you want the architecture diagrams, that's what the intro call is for.
Multi-stage Gemini and Claude workflows that classify, extract, score, and enhance inbound content — email, RSS, web scrapes — into structured records ready for downstream systems.
OCR microservice and mail-mirror pipeline that extract, index, and make searchable the PDFs, scans, and attachments that no SaaS handles well. Local-first; private by default.
Internal automation libraries that wrap email, SMS, calendar, and validation with sane defaults — so the same business logic runs identically from a Python script, an n8n node, or a scheduled agent.
Public webhook architecture and multi-vendor integrations across QuickBooks, OwnerRez, Stripe, Avalara, Plane, HubSpot — without exposing a single port on your router.
HubSpot → self-hosted Krayin, scattered spreadsheets → Postgres, legacy field tools → modern stack. Migrations that preserve relationships, history, and reporting continuity.
Drone-derived elevation, slope, and flow analysis for water-management projects — automated through PIX4D and QGIS pipelines that turn flight data into deliverables in hours, not weeks.
I'm Mark Shedd. I spent twenty years shipping product — VP-level roles across SaaS and platform companies — and the last five integrating AI into real workflows for real customers.
BFD Mapping is the operating company I built around that experience. I take the engagements where shipping matters more than slide decks.
Pick a slot that works. The call lands on Zoom automatically — bring a current automation headache or an AI integration you've been circling, and we'll talk through whether and how I'd build it.