Traditional Operations Ecosystems
are missing a critical connection.
Artificial Intelligence fills the gap.
People, processes, systems, customers, suppliers — the operations ecosystem depends on every one, and today they run as silos, humans clicking between them. I'm building OpsATC.AI to be the connective layer holistic operations require. My name is Brian Weisburd, and I started this company to help guide global supply chain operators into the new age of Artificial Intelligence.
Originally from Miami, I moved to Denver in 2009 for the mountains and the open air, and never looked back. Pretty much everything that follows on this page has happened from here.
- 01 2007 – 2011 Retail Target · Ross Stores Manager
- 02 2011 – 2014 Beverage Distribution Beverage Distributors Salesman
- 03 2014 – 2016 Supply Chain MBA Leeds School · CU Boulder
- 04 2016 – 2017 Healthcare Operations Ethos Vet Health Manager
- 05 2017 – 2018 F&B Procurement UNFI Manager
- 06 2019 – 2023 Data Storage Seagate Logistics Manager 2019 – 2020 Program Director 2021 – 2022 Senior Manager 2022 – 2023
- 07 2023 – 2025 Data Storage Quantum Senior Director
My background, in eight chapters.
The conviction.
After spending nearly two decades leading planning, manufacturing, logistics, and global service operations teams, I've seen it all. Whether I was working in data storage, food and beverage distribution, healthcare, or retail, the pain points have always been the same. The data is there. The systems are there. The people are there. Unconnected, siloed, and blinders on.
Information moves at the speed of human handoff. Exceptions surface only after they've cost something. Improvements never compound, because every quarter brings a fresh process map and another six-figure consulting deck.
Operations ecosystems don't need another dashboard. They don't need another planning suite. They require a connective layer that helps hard-working employees, systems, customers, and suppliers to act as one — and that treats the holistic operations ecosystem as the actual product, not the by-product.
Why now?
This became an obsession in 2025 — the year the technology crossed from interesting to operationally useful. Like many operators, I began experimenting with the AI tools I had at hand. Useful for summarizing emails or analyzing Excel spreadsheets, but the deeper I went — into OpenAI's ChatGPT, then into formal training on Anthropic's Claude — the clearer it got: this technology was going much further than email summaries and slide decks. Three key concepts had matured, enabling the dream of a connective layer to become reality.
Foundation Models
Reasoning at the altitude of a strong analyst, not just at the altitude of a search bar.
Model Context Protocol
Structured, auditable, read-only access to systems of record — instead of scraping screens.
Observability Tooling
Long-running agent actions matured to the point where a human can trust an AI to do something, not just suggest it.
What I'm building.
OpsATC.AI is the AI-native control tower for operators — built for distributors, contract manufacturers, and integrators running global operations. Five role-aware portals. Three pillars — Orchestrate, Accelerate, Improve. An agent named Major Tom, built on Anthropic's Claude, who reads from your stack via MCP, analyzes what's happening across it, and cites every source. I built the architecture so the operator is the one who clicks — always. There's no auto-pilot mode in settings because there's no auto-pilot mode in the code.
I'm building it deliberately small. A small team. Deep customer relationships. A roadmap shaped by the operators who join us as design partners — not by a fundraising calendar. The objective is never headcount reduction; it is to take the operators you have and connect them directly to the ecosystem they already run.
The breadth is the point.
I've spent eighteen-plus years inside operations — never settled into one industry. The first job out of college was managing the back-end at Target and Ross Stores. From there into beverage distribution as a salesman. Then back to school — earning my MBA in Supply Chain from the Leeds School of Business at CU Boulder.
Out of grad school, I ran national healthcare supply chain operations at Ethos and food distribution procurement for Whole Foods Private Label across 19 distribution centers at UNFI. Ultimately, this led to the longest stretch of all: seven years in data storage technology and manufacturing — first as senior manager at Seagate (Logistics management, vertical integration leadership, and development of a new value engineering organization), then as senior director at Quantum, running global supply chain operations, including oversight to fulfillment, contract manufacturing, hub operations, service and repair.
Many companies. Many industries. Many roles. Many global teams. Programs whose deliverable was measurable change in how the operation runs. That's the credibility argument — and it's not a coincidence. The connectivity gap shows up the same way in food, retail, healthcare, data storage hardware, and every supply chain in between. The pattern is industry-agnostic, and so is the fix.
The operational engine is always the same: plan, source, make, deliver, return, plus the systems trying to keep them in step. The OpsATC.AI platform is built for that engine, not for any one industry's flavor of it. Breadth, in my case, is the basis for transferable expertise — not a substitute for it.
I'm not telling you this as a résumé. I'm telling you because the conviction above isn't theoretical — it's what's left after sitting on every side of the table where this problem lives, across five different industries.
How a first conversation actually works.
It's free, it's thirty minutes, and you're talking to me. Not a salesperson. Not a sequence. Bring an operational problem from the worst week of your quarter — a missed delivery, a customer escalation, a buffer stockout, an exception that took three days to resolve when it should have taken three hours. We'll walk through the platform live with a role and a scenario that maps to your business.
Within one business day, you'll have a written diagnosis of where OpsATC.AI would change your numbers — even if we never speak again. If there's a fit, the next step is a paid design-partner engagement: real data, your operation, sixty to ninety days to first measurable outcome.
What I'm not.
I'm not someone who thinks AI replacing hard-working employees is a good thing. I'm not someone who looks past the risks and downsides of this new AI era. What I am is a builder with a passion for supporting great teams, developing strong processes, and running efficient operations from the ground up. The operators who join OpsATC.AI as design partners get the founder, the builder, and the person who has lived on the factory floor, worked in a cubicle, and set corporate strategy for the C-suite. In one conversation. At the same time. Every time.
The Founder
Sets the vision. Makes every call about who, what, when. Not delegating that work.
The Builder
In the platform, on the architecture, shipping the work. Hands on the keyboard.
The Operator
Eighteen-plus years inside operations. Has been in your seat. Speaks your language.
You read this far. Bring me the worst exception of your quarter.
Bring an operational problem. Leave with a written diagnosis. No deck, no salesperson, no follow-up sequence.