The firm and the founder.
I'm Chandra Carr, the founder of OPZET.
I spent over a decade in small business operations, the last four years of which I managed staff, owned P&L, and made technology decisions with real consequences. Watching those decisions land well or badly is what gave me a practical understanding of how organizations function, which turns out to be the most important input to any AI implementation.
The path to AI consulting started with a question I could not stop thinking about: how do neural networks learn, and what does that mean for building systems that work alongside people? That question pulled me back to school. I hold an MS in AI in Business and a BS in Human Systems Engineering from Arizona State University, with graduate work covering machine learning, agentic AI systems, LLM integration, and AI governance. Human Systems Engineering is the discipline that studies how people interact with technology: how cognitive load shapes trust, how handoffs between humans and machines determine whether a system gets used or abandoned, and how to design AI with human oversight built in rather than added on. I have always been more interested in that side of the problem than the engineering on its own.
OPZET launched in 2026. I built it on fifteen years of watching businesses make technology decisions and a graduate education in exactly the systems I now help companies implement. If you want someone who will give you an honest assessment of what AI can do for your business, including when the honest answer is "not yet," that is what I do.
What Human Systems Engineering brings to AI.
Human-centered design starts with understanding what people do, say, think, and feel before any solution is defined. That sounds obvious. It is also the step most AI implementations skip. Organizations define the system before they understand the people who will use it, which is how you end up with technically sound AI that no one trusts or adopts. The design problem and the human problem are the same problem.
Human Systems Engineering is the field that studies the intersection of people, technology, and organizations. It draws on cognitive science, ergonomics, and organizational behavior to answer a question most AI implementations skip: does this system work for the humans who have to use it?
At OPZET, adoption is part of the specification from the start. Every system has moments where work passes between human and machine. How those handoffs are designed determines whether people trust the system or route around it, so we map them before writing architecture. Human-in-the-loop (HITL) checkpoints get designed around how your organization makes decisions. The human layer is not a softer concern than the technical layer. It is usually the one that takes longer to get right.
An independent AI consulting practice where the person who scopes your engagement is the person who delivers it.
OPZET, LLC is an independent AI consulting firm grounded in human-centered AI design. We help businesses build and implement AI systems that the people using them can trust and maintain, from initial strategy through production deployment. The work spans AI strategy, custom development, workflow automation, data infrastructure, and team training.
We work with a focused set of clients at any given time. That is a deliberate choice. Every engagement gets senior attention, clear accountability, and consistent communication. There is no project manager between you and the person doing the work.