HexisAI
Sandcastles are for children. Build your business's AI future on a solid foundation and stop wasting time.
Hexis AI helps companies move beyond AI hype and build practical, process-first systems that connect business operations, company data, automation, and AI.
Most AI failures are not model failures. They are business-context failures.
AI that does not understand your process or your data is just guessing with confidence.
A fragile n8n workflow is not infrastructure.
The question is not "which AI tool should we use?" The question is "where does intelligence belong inside the business process?"
Power user tools enable humans to do things better. They do not make anything autonomous.
You cannot automate what you have not mapped.
Process-first services and tools you can own
Start with how we engage as an AI operations partner, or go straight to the product or service that matches the problem you already have.
Engage
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AI Operations
We run your AI operations for you. You run the business. Fractional AI depth, matched to what you already have.
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AI Accelerator
Map process, contextualize data, and integrate automation and AI where they earn their place. Export your data anytime.
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Process Builder
Codify and optimize how work actually moves. Built for ops leaders, Six Sigma, and EOS practitioners.
Learn more →Manufacturing
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Shop Floor AI
AI that gets used on real floors. Machine vision on-prem and off-prem, tied to process and equipment you own.
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hexis PLC
Controls consulting that converts PLC programs to open microcontroller hardware, with ladder and flowchart logic views for maintenance and new code.
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Custom Quoting
Custom quoting systems for powder coating, nesting, assembly, and more. You own the code. No expensive lock-in.
Learn more →Systems & data
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On-Site Inference
Private or on-site model execution so sensitive manufacturing and business data stays in your environment.
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hexis ERP Link
Connect LLMs and owned systems to on-premise SQL ERPs. Input, output, and dashboards without hostage platforms.
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hexis Project
AI-native project management you can self-host. Client-owned information for development, manufacturing, and ops.
Learn more →Build & stabilize
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Custom Agents
Custom agents where they make sense. We push back when they do not, and we do not design for maximum token burn.
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OpenClaw
Managed OpenClaw (Hermes) instances on-prem or cloud. Narrow useful use cases. We say so up front.
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Vibe Code Review
Fix garage-built and vibe-coded apps that almost work. Practical review and remediation so they can run in production.
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Inbox Triage
Simple Microsoft 365 inbox triage. Free for Hexis customers. Bring your own LLM key. No subscription from us.
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Not sure where to start?
The AI Operations page walks through engagement depth. Or just tell us the problem.
Most AI failures are not model failures. They are business-context failures. The model is fine. Your process is not mapped.
A fragile n8n workflow is not infrastructure. It is a collection of moving parts that must be maintained one at a time.
The question is not "which AI tool should we use?" The question is "where does intelligence belong inside the business process?"
AI that does not understand your process or your data is just guessing with confidence. Confident is not the same as correct.
Power user tools like Claude and ChatGPT enable humans to do things better or faster. They do not make anything autonomous.
One workflow at a time is not a system. It is a collection of maintenance liabilities that will eventually collapse under its own weight.
Process first. Data second. Automation and AI where they actually make sense. Not the other way around.
You cannot automate what you have not mapped. Most companies skip the map and wonder why the automation breaks.
These are not opinions. They are patterns observed across 12 years of business transformation work.
Most "AI experts" do not know what they are doing.
Many only became "AI experts" when ChatGPT became popular. Developing one-off apps is very different from developing a whole company system.
Without tackling the whole problem, you are merely shuffling information in and out of systems built for humans, at a pace that is too slow and too error-prone to make your business more efficient at scale.
The AI does not understand your business, even if it is good at pretending.
The AI does not understand your data, even if it is good at pretending.
The AI does not understand how your business and your data are related, even if it is good at guessing.
The Tools Problem
Power user tools (Claude, ChatGPT, CoWork, Claude for Small Business) are exactly that: power user tools. They enable humans to do things better or faster. They do not make anything autonomous.
"Automation" is often built in a way that is totally unscalable: one workflow at a time.
Instead of inventing the tractor, many companies are inventing a power rake, a power hoe, a power shovel, and a smoother wheelbarrow. By taking each problem individually, they forgo holistic transformation for fancy tools, each of which now has a series of moving parts that must be maintained.
73%
of AI initiatives fail to scale beyond a pilot
McKinsey, 20241–3 yrs
median time before "AI transformations" are quietly shelved
industry estimate~2018
when most self-described "AI experts" actually started
ChatGPT launched Nov 2022Practitioners, not pitchmen.
Riley Flaherty
Owner & Principal, Hexis Consulting
Wisconsin
LinkedIn ↗12 years guiding businesses through technology adoption, process transformation, and systems design.
The core question
"How do we get from what you have now to where you want to be, using technology?"
Riley grew up in Wisconsin. The Midwestern bias for practicality over performance, for doing things right instead of looking like you did, has been the backbone of his consulting practice since day one. He does not sell tools. He maps businesses, then figures out where technology earns its place.
His niche is not AI for its own sake. It is process-first business transformation: understanding the entire operation from customer inquiry to product delivery, then building systems that are durable enough to outlast the engagement.
Industries
Technologies
We understand your business from customer inquiry to product delivery.
That is the only way to build AI systems that actually make sense for your operation.
Robert
AI Research & Governance
Wisconsin
LinkedIn ↗Published AI researcher. University-appointed. Named inventor on a granted AI patent.
Where AI decisions get made right
"Where does AI create durable value, and how do you govern it responsibly?"
Robert is not a consultant who discovered AI when ChatGPT launched. He is a published academic AI researcher (university-appointed, named inventor on a granted AI patent) who spent his career understanding AI as a discipline long before it became a product category.
He brings the same Wisconsin groundedness to AI that Riley brings to process: less hype, more substance. His work spans AI governance policy advisory for Jefferson County, his exec-in-residence role at UW-Whitewater, and applied AI development across manufacturing and private equity. He joins Hexis AI to put that academic rigor to work inside real businesses, where it belongs.
Focus Areas
Named inventor on a granted AI patent. Background in Data & AI Governance, Data Engineering, and applied AI systems.
Recommendations grounded in technical feasibility, governance constraints, and implementation realities, not vendor incentives.
Alex
Account & Project Management
Colorado · Mexico
Alex is the connective tissue between clients and execution. He has a natural gift for people: reading rooms, building trust, keeping every stakeholder aligned and informed through every phase of an engagement. Bilingual and bicultural, with roots across Colorado and Mexico, he brings a range of perspective and cultural fluency that most account managers simply do not have. The project moves because Alex is watching it.
Morgan
Design & UI
Wisconsin
Morgan sets the visual standard for everything Hexis AI puts in front of a client. Her design background is not surface-level: Photoshop, UI architecture, full web production. She works at the level of a practitioner, not a generalist. Wisconsin-bred: direct, precise, zero patience for anything that does not actually work. If it looks right, Morgan looked at it first.
Rose
Finance, Accounting & Project Operations
Pampanga, Philippines
Rose brings the financial and operational discipline that keeps complex engagements honest. Her accounting background means she does not just understand business processes; she understands what they cost, what they produce, and where the numbers tell a different story than the org chart. She is also a disciplined project manager: thorough, organized, and the kind of person who does not let things slip through the cracks.
Three phases. No shortcuts.
Every engagement follows the same sequence because the sequence is the point. You cannot automate what you have not mapped. You cannot use data you have not understood.
Process First
What is the business, and how does it operate?
By talking to your team, giving them our process builder tools, and ingesting whatever documentation already exists, we develop a deep understanding of how the business actually functions, from customer inquiry to product delivery.
Phase one uses our Process Builder tools with your team.
Data
Where is your stuff, how is it related to your other stuff, and how do we find it?
With a clear picture of business processes, we map the data behind them. When we see "Customer" in the process, where is that record stored? What attributes does it carry? How does it relate to Orders, Invoices, or Service Tickets across your systems?
Data work often continues into hexis ERP Link and private on-site inference when sensitivity requires it.
Action
Now that we understand the business, its processes, and its data: how do humans, software, automation, and AI fit into that?
We determine what can be built that will be reused and will operate without us. Not a one-off app. Not a fragile workflow. A system that understands the business, uses the data correctly, and applies AI where intelligence is actually needed.
Action can include the AI Accelerator, custom agents, AI on the shop floor, or hexis PLC controls conversion. Durable infrastructure, not one-off demos.
AI Accelerator
If you are tired of spending all your time reading headlines about how other people are performing miracles with AI, and chasing down the newest greatest product of the week while accomplishing very little, you are not alone.
This is the norm. Most organizations are caught in this cycle because they have been sold the idea that AI is a product you buy, not a system you build.
The AI Accelerator maps process end to end, contextualizes company data, and integrates automation and AI where they make sense. Data export is baked in so you are never hostage to the platform.
Why the usual approach fails
A Rube Goldberg machine built in n8n will not scale your business.
A vibe-coded app that barely works will not scale your business.
Spending weeks chasing one shiny thing after the next will not scale your business.
Ignoring AI altogether will leave you behind.
The only way out is through.
That means understanding the whole business before touching a single tool. That is what the AI Accelerator does.
Technologies & Products We Know
We know the landscape. We are familiar with what each of these tools does, where it fits, and where it breaks down.
We will eventually publish a post on each of these. Until then: Hexis AI does not start with tools. Hexis starts with process, data, and action.
Tool selection is the last decision we make, not the first.
AI & LLM Tools
Workflow & Automation
Low-Code & Data Platforms
Infrastructure & Dev
AI Memory & Retrieval
Practical outcomes. Not a pilot that fades.
12 yrs
In business transformation
6+
Industries served
3 phases
Process. Data. Action.
1 goal
A system that outlasts our engagement
Clear AI Roadmap
A documented plan for where AI fits your business, and where it does not.
Better Process Visibility
A mapped view of your operations from inquiry to delivery, often for the first time.
Reusable Automation Infrastructure
Systems built to run without you, maintained without starting over.
Better Use of Company Data
Data connected to the processes that created it. Knowledge, not just records.
Reduced Manual Information Movement
Less copy-paste. Less re-entry. Less time spent doing what a machine should do.
Fewer Disconnected Workflows
One system with coherent data flow, not twelve apps that barely talk to each other.
More Reliable Systems
Infrastructure built to hold load, not prototype-level automation bolted together.
Practical AI Adoption
With security and governance baked in from the start, not retrofitted after the fact.
Systems That Improve Over Time
Built to be maintained, extended, and grown. Not abandoned in 18 months.
Common questions
What does Hexis AI actually do? +
How is this different from hiring an AI consultant? +
We already have some automation built out. Can you work with what we have? +
What industries do you work with? +
Are any tools free? +
Do you build the systems or just design them? +
Start a conversation.
Tell us what you are trying to improve. We will have an honest conversation about whether Hexis is a fit as an AI operations partner, whether the AI Accelerator is the right depth, or whether something else in the portfolio matches. If we are not a fit, we will tell you that too.
Tell us what you are trying to improve
Not what tools you want. What problem you actually have.
We explore whether it is a fit
An honest assessment, not a sales pitch.
We map a path forward
Process. Data. Action. In that order.
Message sent.
We will be in touch shortly.