About Us
Operators who build for mid-market manufacturers
We work with discrete manufacturers between roughly $75M and $500M in revenue, at the COO and VP Operations level. Decades of enterprise delivery behind us, pointed at one problem: getting an organization to agree what its numbers mean before anything gets automated.
Our Mission
Standard work before AI work. Lean solved this forty years ago on the plant floor: where there is no standard, there is no improvement, only change. Automation scales whatever you give it, including the disagreement. We fix the definitional layer first, then build the platform and the agents on top of it.
Our Team
Meet the Leadership
Decades of enterprise delivery, now pointed at mid-market manufacturing.
Founder & CEO
Bryce Arii
20+ years of Tech Leadership experience across a variety of roles. Bryce entered technology to increase connections between businesses and customers. Today, he leads the company's Agentic AI focus, applying operational expertise to help firms avoid common failure patterns.
barii@humagined.aiChief Innovation Officer, Enterprise Architecture
Kelly Diekvoss
20+ years of expertise in IT, Enterprise Architecture, Data Strategy, and AI Enablement. Kelly specializes in AI-ready data architecture and transforming traditional data strategies into foundations for successful Agentic AI deployment.
kdiekvoss@humagined.aiChief Technology Officer
Michael Kriz
25+ year record of success designing, managing, and executing transformative technical and process improvement initiatives. Mike focuses on digital-first workflow design and AI integration, ensuring solutions align with business objectives and deliver measurable improvements.
mkriz@humagined.aiOur Values
What Guides Us
The principles that shape every engagement and every relationship.
Definitions First
Before a pipeline, before a model. If two plants count scrap three ways, that gets settled first or nothing built on top of it is trustworthy.
Ratified, Not Recommended
An Assess engagement ends with a roadmap your leadership has signed, scoped by value stream. Not a slide deck with our logo on it.
BI Earns Its Keep
Roughly 80% of what we deliver is conventional business intelligence. It pays for itself on day one and builds the semantic model every agent will need later.
Build Ownership
Your team runs it. We document, train, and leave. You should be buying a capability, not a dependency.
Let's Work Together
Start with the definitions. Twelve questions, twenty minutes, and a clear read on whether an AI build is worth funding yet.
Get the Definition Audit→