We Build the Machine.
You Run It.
The Innovation Machine is built on a methodology with a 30-year track record — the same rapid transformation principles that drove lean manufacturing in the 1980s and lean startup in the 2000s, now applied to AI. We stand up a dedicated internal team, identify and win the right first problem, and transfer the capability permanently to your organization.
Innovation Machines helps enterprise leaders build dedicated, high-speed internal startups—called "Innovation Machines"—that use incumbent advantages (customers, data, brand, distribution) to create AI-native workflows and outcompete AI-native challengers. Each workflow transformation ships in under 90 days, and the operating model is "Build to Transfer": we build the machine, then hand over the keys to internal champions. The approach is grounded in the Mac Team Principle: a separate, protected team with full access to enterprise assets.
The Foundation
The Methodology Has a 30-Year Track Record
The principles behind the Innovation Machine aren't new. Structural separation from the core business. Rapid iteration. Small visible wins chosen to build organizational momentum. These are the same principles that drove lean manufacturing transformation in the 1970s and 1980s — principles Jim helped pioneer at Textron with the consultants who brought Kaizen and lean to American manufacturing, and then brought to aerospace through the MIT Lean Aircraft Initiative before lean was a word most executives knew.
The same principles powered the lean startup movement in the 2000s. Jim was applying them to startups before Eric Ries named them.
What changes with each wave is the technology being applied. What doesn't change is the mechanism. Rapid transformation of work processes, the right first wins, organizational momentum built from demonstrated results.
This is not a framework invented in response to the AI hype cycle. It is a methodology proven across three decades and three technology waves.
The Philosophy
The Mac Team Principle
"Steve Jobs didn't build the Macintosh inside the Lisa division. He took a dedicated team to a separate building."
Most enterprises fail at AI because they try to force it through legacy processes. The corporate immune system kills innovation before it can breathe.
We act as your AI Consigliere, helping you identify the opportunity. Then we help you build the Innovation Machine—the team, culture, and architecture—to execute it.
You have the fuel. We build the engine.
The structural separation isn't a preference. It's the reason the first win is possible at all.
From the Other Side
We've Been the Startup Your Organization Had to Adopt
Before we helped enterprises build Innovation Machines, we built the startups that enterprises had to adopt. We know what organizational change looks like from the outside trying to get in — because we've caused it, repeatedly, inside some of the most complex organizations in the world.
At Liquid Machines, we deployed dynamic document security technology across Goldman Sachs and Merrill Lynch — embedding security features directly into Microsoft, Adobe, and CAD applications that weren't designed to support them. Getting two of the world's most risk-averse financial institutions to change how every employee handled documents is not a technology achievement. It's an organizational change achievement.
At EveryScape, we transformed how Bing Maps competed with Google, and how NASA, Marriott, Starwood Hotels, and AT&T Ad Solutions operated — shifting AT&T's business from print to digital with EveryScape as the tip of the spear. We had 10,000 sales people selling web-based visual storefronts into local businesses nationwide.
At Infinityy AI, through our partnership with the National Association of Realtors and the largest MLSs in the country, we provided every listing in each region with a proprietary AI real estate assistant — transforming how the entire industry presented and experienced property listings.
Getting complex organizations to fundamentally change how they work isn't a technology problem. It's a human and organizational problem. We've solved it from the startup side multiple times. We know exactly what your organization is about to face — because we've been on the other side of it.
The evidence is overwhelming: AI disruption originally projected for 2032 is already underway — six years ahead of schedule. The window for proactive transformation is closing fast.
Check Your Industry's ExposureThe Core Idea
What an Innovation Machine Actually Is
An Innovation Machine is not a project. It's not a pilot. It's a new internal organization — a permanent team inside your company, operating at startup speed with access to all your incumbent advantages.
Here's how it works:
We recruit a crack team from the AI and startup world — people who already know how to move at AI speed. They operate like Apple's original Macintosh team: separate from the mothership, protected from corporate antibodies, but with full access to your data, customers, and distribution.
This team systematically works through your highest-value workflows, rebuilding each one as AI-native in 90-day sprint cycles — with multiple sprints running in parallel.
Select employees from your company rotate through the Innovation Machine. They provide the domain context the team needs while simultaneously learning what's possible. When they return to the core business, they carry those capabilities with them — creating a virtuous cycle that gradually overtakes the typical corporate immune response to change.
The result: a self-sustaining engine inside your organization that continuously transforms how your company operates — workflow by workflow, sprint by sprint.
Case Study
How We Think: The "City Genesis" Example
This is the level of "Order of Magnitude" thinking we bring to your internal teams.
The Problem
Human Training Was the Bottleneck
At Infinityy, we sold AI real estate agents that could navigate properties visually online. But we needed to train the AI on each property. Human training was slow, expensive, and couldn't scale—spending days and hundreds of dollars per property.
The Innovation Machine Approach
The Data Already Existed
We didn't hire more people. We asked a different question: "What if AI could train the AI?" We built the City Genesis System—connecting directly to massive MLS datasets. The answer wasn't more humans. It was a different architecture.
The Result
10,000x Improvement
Training time dropped from days to minutes. Cost dropped from hundreds of dollars to 10 cents— training a new AI for every listing every day.
Most companies try to scale the old way faster. Innovation Machines find a completely different way.
The Approach
From Consigliere to Self-Sustaining Machine
The sequence is deliberate. We diagnose before we build because workflow selection is the most important decision in the engagement — the wrong first problem kills momentum before it starts. We build before we transfer because internal champions need to see the machine work before they can run it. The goal of every step is to make the next step feel inevitable.
The Consigliere Weeks 0–2
The Wedge
We separate the hype from reality. We tell you where your 'Lisa' division is failing and where you need a 'Macintosh' team.
You walk away knowing exactly which workflow is the right first sprint — and why. That decision is worth more than most organizations realize until they've made it wrong.
Deliverable: The Threat Map & Opportunity Radar
The Architect Months 1–3
The Build
We design the Innovation Machine: its operating model, team structure, and first sprint targets. We recruit the initial team — AI and startup talent who already know how to move at this speed. We stand up the 'clean room' environment, free from corporate antibodies, and launch the first 90-day sprint cycle.
The first sprint is designed to produce a visible, undeniable result — not for us, for your skeptics. Their reaction to that result is what triggers the organizational shift.
Deliverable: Your Innovation Machine — Staffed, Structured, and Running
The Transfer Ongoing
The Legacy
We don't stay forever — but we don't disappear after one sprint. As the machine proves itself across successive workflow transformations, we progressively transfer operational leadership to your internal champions. Our goal is a self-sustaining Innovation Machine that runs without us.
The handoff is built into the methodology from day one. Internal champions rotate through the machine specifically so that when we leave, the capability stays.
Deliverable: Self-Sustaining Innovation Engine with Internal Leadership
The Pedigree
The Architect of "What's Next"
Where the Methodology Was Built
MIT Lean Aircraft Initiative & Textron
In the early 1990s, before lean was a management philosophy in America, Jim was helping build it — working directly with Shingijutsu, the original Toyota Production System disciples who were bringing Kaizen to American manufacturing for the first time. By the mid-1990s he was leading the MIT Lean Aircraft Initiative research that brought lean to aerospace — years before the industry caught up.
Enterprise Adoption at Scale
Liquid Machines & EveryScape
Two companies that required the most complex organizations in the world to fundamentally change how they worked. Goldman Sachs. Merrill Lynch. NASA. Bing. Marriott. AT&T. 8 granted patents. Multiple acquisitions. The lesson from both: organizational adoption is harder than the technology, and it requires a different kind of leadership.
AI-Native Transformation Proven
Infinityy AI
Where the current methodology was validated at scale. Partnership with the National Association of Realtors. Integration with the largest MLSs in the country. 10,000x improvement in AI training cost and speed through the City Genesis workflow transformation. Proof that the snowball mechanism works in practice, not just in theory.
Ready to Build Your Innovation Machine?
We are not consultants who produce recommendations. We are operators who have built transformative products, driven adoption inside the world's most complex organizations, and transferred the capability to the teams who run them. We build your machine. You run it.
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