About — Everyone's selling AI. Almost nobody installs it.

The voice in your head, said out loud

"We're not using AI. Everyone selling it sounds like a guru. I don't know where to start — and I don't have time to become the guy who knows."

If that's close, you're not behind because you're careless. You're behind because choosing got impossible: most of what's sold as AI right now is sold by people with no technical background — cheap automations, or a course on how to start an AI business, riding the demand wave.

And maybe you've already paid one of them. A chatbot that embarrassed you in front of a customer. A dashboard nobody has opened since week two. I know what junk AI looks like from the inside — knowing which systems work, and which don't, is most of the job.

The difference is simple: I've actually done it. I've worked inside IT teams for over 23 years, at some of the highest levels. We install real systems that work — based on experience and technology the top companies in the world depend on.

The job, in one sentence

For 23 years my job was the layer between a complex technology organization and the people who bet money on it — the one who runs the deep systems, and explains them in plain words a board can act on. That's the job here too: you get plain words and a working install. The engineering stays my problem.

The record

I'm Jeremy Bruce — Converge Intelligence is mine, operated under Converge Forensics, LLC (Oregon), out of Happy Valley. I started in 2002 as a contractor doing computer-asset inventory at Nike's world headquarters — no degree, a background as a machinist, carpenter, and mechanic. Technology is in my DNA. The industry eventually caught up to evaluating people on what they can actually do.

Boeing Defense

Eight years running the engineering platform an aircraft program depended on — the tools engineers design aircraft with, 125+ mission-critical systems' worth. When those systems dropped, aircraft design stopped, so the record mattered: a full year without a single application incident (my manager's words, not mine). I also carried the platform's budgets and vendor bets — and took the portfolio's largest investment to the engineering board and won it. Boeing bet a billion dollars consolidating onto one engineering platform — running tools like that inside daily operations was my job.

NW Natural

Five years inside a billion-dollar regulated gas utility — 1,200 employees, 700,000 customers. Telecom infrastructure tied to the billing system: I led the move off the legacy phone network onto the modern one, callback-assist included, across an environment of 70-plus servers. When a cyber incident hit, I led the response — my recommendation became board-approved policy. And when the board needed IT explained, I was the one in the room.

U.S. Department of Energy

At the federal agency that moves the Northwest's power, I re-architected one operational system across 1,400+ devices — cut its cost 40%, over $500,000 a year — and trained the 60-person IT organization that ran it. Federal security standards, public-trust vetting.

Lockheed Martin — at Nike's world headquarters

Where I started, 2002: six thousand people on one campus who needed everything to just work. I rose to technical lead of 35 across a 50-analyst help desk, root-caused the failure the contract was paying penalties on — the fix became IT policy — and wrote the training standards the whole IT staff ran on.

Simon & Schuster

Technical lead and point of contact — traveled to their New York headquarters to sit with their chief engineers and evaluate the systems the business ran on.

U.S. Chamber of Commerce

Technical lead and point of contact for their enterprise IT support — part of one contract carrying 50,000+ employees across its clients.

Two more lines, because they say something the names can't. I turned 5,626 service records into a 50% cut in recurring incidents at that utility — by finding the real root cause in the data. That's "ask your business anything," delivered before AI made it fast. And the industry still comes looking: I get recruited for defense-sector digital-twin programs today — one COO's word for my background was "Porsche."

What I've built

This company — and the machine you're standing in: the site, the instant reply, the tracked booking. Everything we sell, we run on our own operation first.
An AI operating system my own businesses run on — built on my own initiative, before any client or revenue. It reconciled itself again last night.
A complete AI acquisition system for one of my own companies — designed, shipped, and adversarially audited. The same pattern this site runs on. I've run my own companies since 2013 — I know what a missed call costs on a Tuesday.

And one bridge that explains the whole company: I've spent 23 years making complex systems dependable and new technology safe to bet on. AI is the next system — and I've already built the governance for it.

Where this goes, if you want all of it

The end state we install toward, one phase at a time: a business where everyone — from the crew in the field to the desk where the buck stops — can see the present state of the operation, on numbers that are current instead of three weeks old, pointed at what the business is actually trying to do. A business you can ask a question and get a straight answer, with the receipts. Start with a phone that answers, or build the whole thing — both are honest ways in.

How we work

Prices printed before any call.
Guarantees measured by the system's own logs — never by my word. If I can't show you the money, you don't pay: free look → find 4× or the audit's free → works by its logs or I work free → cancel anytime.
AI never grades its own work. My own system once refused to ship because the AI made up a statistic — the gate caught it. That discipline, one click down →
Month-to-month, accounts in your name, your data walks with you.

Consulting inquiries — by request: jeremy@convergeintelligence.ai