Space. Defense. Supply.
I'm Ryan Starck — 20+ years running aviation, defense & space supply chains, current President & GM and P&L owner. This site is where I show what actually works when you put AI on real operations — open POs, expedites, sourcing, export compliance, GovCon capture — and what doesn't. No hype. Notes from the floor.
Not a mockup — a module from a tool I run
This is a live module from my export-control command center, loaded with fictional customers and values. The real one runs my actual export operation — license tracking, denied-party screening, ECCN classification, backlog recon. Hover the map. Hit the risk layer. That toggle colors every country by its actual U.S. export-control country group.
The full tool imports raw ERP exports, burns licenses down in real time, chases missing docs, and screens every party against the U.S. Consolidated Screening List and SAM exclusions — the same public APIs available to any supplier.
Pipeline command center for bookings and follow-ups. Sourcing board for line-level due dates. Revenue engine for the sales side. A denied-party scanner is next on the bench, built on the same screening engine.
Anyone can post AI takes. Working software is harder to fake. Every claim on this site traces back to a tool like this one — built by an operator, run in a real operation. Want one for yours? Start a conversation.
Run a local business in Brevard County? American Applied AI is my hands-on practice for quoting, follow-up and owner dashboards.
AI Consulting →Core thesis
Most companies have invested in visibility. The next operating advantage is execution: agents that follow up, verify, summarize, escalate, and support human decisions.
AI is most useful when it is attached to a real workflow. In supply chain operations, that means open purchase order follow-up, supplier calls, delivery verification, pricing checks, sourcing requests, freight recovery, bid capture, and executive exception reporting.
Humans lead. Agents execute. Leaders retain judgment over supplier relationships, quality, compliance, customer risk, and commercial commitments.
Operating model
The ODEEL model is the operating loop for AI-enabled supply chain execution.
Dashboards, backlog, open purchase orders, supplier risk, logistics status, and GovCon opportunities become the shared operating picture.
AI Agent Use Case Library
Bounded, auditable use cases with clear human controls. Three of six shown — the full library goes deeper.
Free operator tool
The exact prompt that turns a raw open-order export into a command-center dashboard in one paste. Free — drop your email and it's on the next page.
GovCon capture
Capture-to-execution is where strategy becomes operational reality: a bid decision has to account for supplier readiness, lead times, certifications, pricing confidence and delivery risk.
I built and use an internal gov-bid pipeline tool that imports daily solicitation exports, scores fit, tracks CHASE/REVIEW/PASS dispositions, and produces a curated pursuit list. It runs inside my own operation and is not published as a public board or demo. The operating notes below cover how the workflow is built.
Read the capture-to-execution notesField Notes Archive
Operating notes on AI, supply chain execution, aviation, defense, space, and GovCon capture - developed from operating experience, prototypes, and implementation thinking.
Yes, I built a video game about it
The fastest way to understand the thesis is to feel it. A crisis-response scenario where the dashboard shows you everything and fixes nothing — the mission is to move the work, recover the shipment, and keep the supply chain alive under pressure.
For advisory, collaboration, speaking, or implementation conversations around AI supply chain operations and GovCon capture.
Connect with Ryan