mid-market companies
200,000+ in the US alone
workers at mid-market companies
48M employees, underserved
McKinsey's minimum engagement
Fortune 500 only. Mid-market ignored.
The Problem
Mid-market companies aren't stuck because they lack belief.
They're stuck because nobody's doing the translation work.
The problem isn't awareness. It isn't budget. It's that nobody is doing the work of converting "we waste 20 hours a week on contract review" into a running AI system. That translation requires taste: knowing what to automate, what to leave alone, and how to make the result stick.
don't know where to start
Not budget. Not skepticism. A translation problem. They can't convert business pain into an AI system.
have already tried AI
The education phase is over. They're not skeptics. They're stuck.
tried it and got limited results
Burned once. Budget approved. Actively looking for someone who can actually deliver.
cite budget as the blocker
The problem was never money. It's always been direction and competence.
"We've tried AI. We just can't turn it into something our team actually uses."
Every mid-market CEO, when pressed, says some version of this.
What We Actually Do
Three things. In that order.
Find the waste
We map where your team spends time on work that AI should handle. Not a generic audit. A specific, workflow-level diagnosis: which approval chains burn hours, which manual steps repeat every week, which data entry problems have been quietly accepted as normal.
Build the system
Custom AI implementation. Not a chatbot. Not a wrapper on GPT. Systems that slot into your existing tools and actually get used. Built around how your team already works, not how a SaaS product thinks you should work.
Measure the result
Hours saved. Costs cut. Throughput up. We don't bill for AI strategy decks. We bill for outcomes you can see in 90 days. The kind of numbers you can put in front of your board without qualification.
Why Us
The AI implementation market is split.
We're in the gap.
The big firms
$500K minimums
McKinsey, Bain, the major AI consultancies. They serve Fortune 500 on 18-month engagements. They won't take a meeting with a 200-person company. Their model requires it.
The freelancers
Chatbots, not systems
Upwork has thousands of people who can build a GPT wrapper. None of them can diagnose a workflow, recommend what not to automate, or guarantee the system gets used after delivery.
Where we sit
Deep enough to actually fix it. Lean enough to move fast.
We've studied 200K+ mid-market companies. We know which workflows convert to AI and which don't. We have a vetted network of builders who've shipped production AI systems, not side projects. And we measure the result, so you know what you bought.
The analysis engine below is a sample of how we think. Run it. If the output is sharp, imagine what a full engagement looks like.
Free Analysis
See what we see.
Tell us about your business. In 30 seconds, we'll show you where time is leaking and what AI can actually fix. Real analysis, not a template.
For Fractional Consultants
You have the trust.
You don't have an AI offering.
You're embedded in $10M+ companies. You have the relationships. You see exactly where time is leaking. And every single one of your clients is asking some version of: "should we be doing more with AI?"
We attach AI development to your consulting. You keep the relationship and the retainer. We build the systems. Your clients get results they can't get from a SaaS tool and can't afford from McKinsey.
You keep the relationship
We don't compete with you for the client. You own the retainer. We're the capability you didn't have.
Warm introductions only
You already have trust inside $10M+ companies. We skip the prospecting entirely. Your credibility is the distribution.
A service your clients are already asking for
61% have tried AI. 25% got limited results and are actively looking for someone competent. You already know these people.