Ian Provencher
Podcast

About

Where the work comes from.

I work in supply-chain operations, and I direct AI to build the software those operations need: full-stack, Python to the edge, orchestrated end to end.

I'm Ian Provencher — a supply-chain analyst who has spent years inside the flow of material through real plants, and who now directs AI to build software for the problems that flow throws off: full-stack applications, data tooling, and agentic systems, orchestrated end to end.

This site is my public workspace — the repos, tools, cron jobs, apps, and architectures behind the work, plus the field notes. It renders reviewed, public-safe snapshots of the real infrastructure I run; it never re-types it.

The operator behind it

Years as a supply-chain analyst at a global home-appliance manufacturer — deep inside end-to-end operations: the flow of material through real plants and the systems that run it, from planning and sourcing to production, logistics, warehousing, and engineering: material shortages, inventory policy, capacity, order fulfillment, engineering change, and the data underneath all of it.

When the problem is a tangle of planning logic, material constraints, and the gaps an ERP left behind, it gets specified in operational terms before any code exists.

And the AI half isn't new — it ran alongside the operations work the whole way, and it's now formally part of my role, helping shape the path, scope, and implementations of AI across the company's North America region.

What I build

I build my own operational software end to end — full-stack apps, tools, scheduled jobs and architectures — directing AI, mostly Claude Code, to write it. The real estate is private; what you see here is the reviewed, public-safe render of it.

Why the practice exists

Every operation I have run leaned on software that almost fit, and on one person quietly closing the rest by hand. In planning that gap costs the most: the ERP knows the plan, and a spreadsheet knows what is true. The tool that closes it used to take an enterprise budget and a year. With AI it takes days, and the plant owns it outright — no license, no asking permission.

That is the whole point of AppliedIQ Solutions, my practice: supply-chain planning tools built to order for manufacturers, and, on Main Street in New Bern, websites and finished tools for local businesses.