AI for industrial operators running complex supply chains on legacy systems.
Most manufacturing floors run on a mix of ERP systems, spreadsheets, paper SOPs, and machines older than the engineers maintaining them. I build AI for that reality: supply-chain visibility that surfaces the signal before it's a shortage, operations and maintenance copilots that live where the work happens, and document intelligence that pulls the right spec out of a decade of PDFs — all wired into the systems you already run, tied to throughput, downtime, or cost from day one.
Manufacturers don't lack data — they lack access to it. A supply-chain disruption sits in a supplier email nobody read. A maintenance fix lives in one technician's head. A spec that would've prevented a rework is buried in a PDF from three ERP migrations ago. The complexity isn't the process; it's the fact that nothing talks to anything else.
I build AI that reads across that mess instead of asking you to replace it. Retrieval and agents that sit on top of your ERP, your MES, your SharePoint, your paper archive — grounded in what your systems actually say, not a model's best guess.
Where AI moves the number
The highest-impact work on a factory floor is high-volume, deadline-driven, and expensive when it's late — exactly where a well-built agent earns its keep.
- Supply-chain visibility — signal detection across suppliers, inventory, and logistics that flags a shortage or delay before it hits the line.
- Ops & maintenance copilots — floor-level assistants that answer "what's this alarm, what's the fix" with the manual and the history behind the answer.
- Document & SOP retrieval — spec sheets, work instructions, and compliance documents retrieved in seconds instead of hunted through folders.
On the factory floor, an AI system either moves throughput or downtime, or it doesn't get used a second time. I build systems that earn a second use.
Four places AI pays for itself on the floor.
From briefing to production, without ripping out your systems.
Find the highest-impact use case
Supply-chain signal, a maintenance copilot, or document retrieval — we pick the one that moves throughput, downtime, or cost, and agree on the KPI up front.
Design around your legacy systems
We map the ERP, MES, and document stores you already have and design the integration to work with them — fixed scope and price, no rip-and-replace.
Deploy into your environment
We build in sprints, deploy on-prem or in your cloud as the data requires, and harden it against real floor conditions and real network gaps.
Prove the value on the line
We track the system against its KPI — throughput, downtime, or cost — and tune it against real shift data until the value clearly crosses the cost.
Let's talk about where AI moves a number on your line.
Supply-chain visibility, maintenance copilots, spec retrieval, legacy integration — if it's high-volume and it's costing you throughput or downtime, that's my kind of problem. I'll tell you what it's worth before we build it.