
Build Enduring AI Practices, Not Brittle Projects.
Over 80% of AI initiatives fail — most before a model is built.¹ The gap is business and data understanding.

Over 80% of AI initiatives fail — most before a model is built.¹ The gap is business and data understanding.

You made the investment. You set the direction. And somehow, your organization still doesn't have anything live and delivering value. That gap between investment and outcome is exactly where we work.

Governance comes too late. The problem was never clearly defined. Nobody built the bridge between what the technology can do and what the organization can actually absorb.

Utilities, healthcare systems, and financial services operate under constraints that generic AI consultants don't understand. Compliance isn't an afterthought — it's the starting point.

You have mission pressure, board scrutiny, and limited internal capacity. You can't afford an expensive pilot that goes nowhere. Neither can the people you serve.
You've heard the promises. You're not sure what's real.
A structured, time-bounded engagement that delivers a clear-eyed view of where AI creates measurable value — and where it doesn't.
You leave with a decision framework, not a slide deck full of hypotheticals.
Typical engagement:
4–6 weeks
Your organization is ready to build. You need someone who can lead the work — not hand you a roadmap and disappear.
We embed directly into your team as a senior AI strategy and product leader — inside your governance, alongside your technical teams, in front of your stakeholders.
The work gets done. The capability stays.
Typical engagement: 6–18 months
You have internal execution capacity. What you need is a senior AI strategist who understands regulated environments and can help you make better decisions faster.
Ongoing counsel — available when it matters, without the overhead of a full engagement.
Typical engagement: Monthly retainer
CEO & Lead Strategist
Nathan has spent more than twelve years embedded inside some of the most complex organizations in healthcare, energy, and mission-driven sectors — not as an outside advisor, but leading the AI work.
He has built AI programs from the ground up, stood up AI Centers of Excellence across three regulated industries, and led the translation between what executive sponsors need to see and what technical teams need to build. That gap — between strategy and execution — is where most AI initiatives quietly fail. It's also where Pathmaker AI operates.
Before founding Pathmaker AI, Nathan delivered measurable outcomes at a national healthcare system, a Fortune 500 energy utility, and across the public and nonprofit sector. He holds an MBA in Finance from the University of Denver and a BA in Environmental Studies from the University of Colorado.
Project Sponsor - Regulated Energy Sector
Annual revenue recovered through AI-powered automation at a national healthcare system.
Delivered on an LLM extraction pipeline for a Fortune 500 enterprise.
Cost avoidance through AI-driven supply chain optimization at a regulated client.
No sales deck. No discovery call disguised as a pitch. Just a direct conversation about where you are, what you're trying to build, and whether we're the right fit.
If you're leading AI in a regulated or non-profit organization and you're tired of consultants who don't understand your constraints - we should talk.
Copyright © 2026 Pathmaker AI - All Rights Reserved.
¹ RAND Corporation, The Root Causes of Failure for Artificial Intelligence Projects (2024): "more than 80 percent of AI projects fail — twice the rate of failure for IT projects that do not involve AI." Link: rand.org/pubs/research_reports/RRA2680-1.html
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