I build and run production AI inside my own business, so the help you get comes from someone who has actually shipped it -- not read about it. If you can see there's an opportunity but aren't sure where to start, I'll help you cut through the hype, find where AI fits, and start somewhere small enough to prove it.
Engineer who builds and runs production AI -- BSEE · MBA · PMP
Take the free readiness read →Most AI in an operation like yours never reaches real value -- not because the technology fails, but because the work stops at a demo. A pilot ships, no one scopes it to a finish line, no one checks whether it stays accurate, and the value quietly leaks away. The systems that pay off are built like engineering projects: scoped, traceable, evaluated, and owned. That is the whole difference.
AI creates value only when you can trust an answer enough to use it. A system that traces every answer back to its source -- with version and provenance -- is one you can build real work on. One that cannot is a confident guess.
Around 70% of AI pilots in small and mid-size operations stall in the experimental phase. The opportunity was real; the scope, acceptance criteria, and an accountable owner were missing. Reaching value is a delivery discipline, not a bigger model.
Guidance grounded in systems actually built and run, not just talked about -- the same approach I use in my own business, where being wrong has a cost.
Most decision-makers picture a chatbot. The real value in an operation like yours is an AI operating system -- one place that holds your business data and your team's expertise, runs your workflows, and gives you a foundation to build automations and agents on. I built one to run my own practice. In one focused hour we evaluate your operation together and map what yours would look like, and you leave with a written, leadership-ready snapshot of where AI creates defensible value and where it does not -- whether or not we work further. Structured and run the same way every time, because a process you can see is a process you can trust.
Want a preview? Run the free self-serve version of this scorecard first -- no sign-up, two minutes.
The session points to whichever fits -- a structured assessment, an AI operating system set up alongside you, a system built to spec, an ongoing technical partner, or training. Every path is scoped, reviewed, and managed to a defined outcome.
The fuller version of the session: where AI creates defensible value, the data-provenance and review-gate requirements, and what a managed build path looks like.
We stand up your own AI operating system together -- your data and your team's expertise in one place, the first automations and agents built alongside you. You own and operate it; I am the engineer beside you. The same kind of system I built to run my own practice.
Design and build with traceability and evaluation in the architecture from the start. Delivered to defined acceptance criteria.
A technical partner who runs the practice on your behalf -- roadmap, oversight, and an evaluation cadence that keeps live systems accurate.
Hands-on training that gives your team the judgment to use AI safely in a quality-critical workflow -- where to trust it, where to gate it.
Good AI guidance requires two kinds of credibility, and most practitioners have one: engineering experience in operations where the details carry real consequences, and actually having shipped production AI -- not a case study you read, but a system you built, deployed, and are responsible for keeping accurate.
I built Verbatim so every answer traces back to its source because the domain demanded it. Version, hash, provenance, on every answer. That is not a feature. That is the minimum the work required.
The practice runs several AI systems in live environments right now. The best evidence that a method works is that it is running.
Six systems I've designed and built. The descriptions follow the evidence on file -- nothing here is aspirational.
Grounded in deep technical operations experience where documentation and data accuracy are not optional.
Two decades engineering humidity and air control across food processing, pharmaceutical manufacturing, hospital operating rooms, lithium-battery dry rooms, and cold storage.
From the first paid hour to a commissioned system, the sequence is structured, reviewed, and managed -- the way a disciplined build should run. You always know what comes next.
The paid hour. We map and evaluate your operation together; you leave with a written snapshot.
Opportunities evaluated against your constraints -- data quality, regulatory needs, review-gate requirements. A prioritized scope with acceptance criteria.
Design and build with traceability and evaluation in the architecture from the start, not added later.
Commission with documented baselines and a defined evaluation cadence. Someone is watching, systematically.
The scorecard and the systems get sharper with every run. The process compounds.
I am Mike Harvey -- BSEE, MBA, PMP, and founder of Harvey Consultancy LLC. I spent 20+ years engineering desiccant and hybrid desiccant-refrigeration systems for food processing, pharmaceutical manufacturing, hospital ORs, lithium-battery dry rooms, and cold storage -- operations where a wrong number has real consequences. That work taught me that a system which cannot prove its answer is not a working system. I brought that standard to AI.
I built Verbatim, a compliance-grade RAG system for Medicare/Medicaid billing where every answer has to trace back to its source. I also run a multi-agent AI content pipeline, a retrieval-augmented engineering knowledge system, an AI phone agent, and autonomous monitoring agents. I advise on AI the same way I built those systems: scoped, reviewed, traceable, and managed to a finish line.
Harvey Consultancy LLC -- Grand Island, NY. Clients in North America, Europe, Japan, Singapore, and Taiwan.
The State of AI Session gives you a written, leadership-ready picture of where AI creates defensible value in your operation -- and what a managed, traceable build would require. It starts with a free 15-minute fit check, and the $199 fee is credited toward any engagement you take forward.
Request a sessionmike.harvey@harveyconsultancy.com · harveyconsultancy.com
