You know AI matters. It's hard to get it into your business.
SupplyTech builds the AI infrastructure, governance, and agents your team uses every day, in the systems you already run. We transform your business for AI, connect all your systems, train all your people, and stay on to keep you current as AI keeps changing.

You've heard about AI. Now you need it to do something.
Most owners have tried a chatbot and seen a demo. What they don't have is AI that knows their business, lives inside their systems and takes real work off their team's plate.
That is what we build. Agents that know your SOPs, your customers and your data. Automations that handle the repeat work. And when the ERP or the data underneath is the problem, we fix that first so the AI has something solid to stand on.
Four ways to start
Pick the one closest to where you are. Every engagement is built the same way: understand how the work really runs, build inside your systems, train the team, stay until it sticks.
Small Business AI Implementation
Your whole team working with AI in six weeks. Workspace, knowledge base, three agents, one automation, training. One fixed fee.
Enterprise AI Implementation
Bigger systems for bigger operations. Agents that take action and AI that answers from your own documents and data, built to run every day.
AI Workflow & Automation Builds
Stop keying orders, chasing approvals and re-entering data. We automate the repeat work the way your process actually runs.
ERP & Platform Modernization
When the ERP is the bottleneck, we fix it, connect it or replace it, and wire AI into it.
Everything it takes to make AI stick
Every capability below is something we have built and operated for a client, not a slide.
Enterprise AI Implementation
Agents built on Claude Enterprise and ChatGPT Work, connected to your systems through MCP and designed for business-critical operations.
AI Enablement for Operations
Putting AI into the hands of the people who run daily work, with training that sticks.
ERP & Platform Modernization
Assess, fix, migrate and integrate so your ERP runs the business instead of slowing it down.
Knowledge & Data Infrastructure
Centralized knowledge bases and structured data environments primed for AI.
AI Workflow & Automation Builds
Intake, document, approval and agentic workflows that run in production and last.
Supply Chain System Implementations
TMS, WMS, EDI and carrier integrations grounded in real operations experience.
Lean Six Sigma Process Improvement
Map and fix the process before automating it, so you never automate waste.
Governance & Oversight
Model governance, logging, guardrails and feedback loops that keep systems reliable.
Built for operators, not for enterprise ML teams.
We work with a small number of clients at a time. The best fit is a business whose operations are real, whose systems are mature and whose leadership wants AI to run work, not demo it.
This is not for enterprise companies with dedicated ML teams, and it is not for anyone looking for a quick prototype.
- Small and medium-sized businessesLeadership that wants to move fast and modernize without a two-year implementation.
- PE-owned portfolio companiesPreparing for scale, a transaction or an exit.
- Operators preparing to scaleSystems and processes that need to grow with the business.
- Organizations modernizing legacy systemsIncluding those recovering from a failed implementation.
Proven operational impact
Outcomes from production systems running inside real operations.
Foundation first. Then build. Then scale.
Foundation
We conduct a deep audit of your current systems, data flows and operational bottlenecks to build a comprehensive AI roadmap.
Build
Our architects deploy customized AI frameworks that integrate directly with your mature systems: CRM, ERP, TMS and core infrastructure. We can also implement new systems.
Adopt & Scale
We enable your workflows through deep training and scaling protocols so AI becomes a primary driver of operational efficiency.
Optimize
Continuous technical oversight and refinement cycles keep your AI infrastructure secure and current with emerging advancements.

Ed Hitchcock
Principal AI Systems Architect
Ed is a systems architect with more than ten years of supply chain and operations experience, bridging the gap between legacy infrastructure and emerging technologies. His background spans Supply Chain Management, Lean Six Sigma and large-scale modernization for small, medium, and PE-owned businesses. Ed holds a Lean Six Sigma Black Belt, an undergraduate degree from Columbia University, and a Master of Science in Supply Chain Management from Michigan State University, whose graduate supply chain program is ranked No. 1 in the nation by U.S. News & World Report.
That combination is the point. Ed has run the operations he now builds AI for, which means every architecture decision starts with how the work actually happens on the floor, in the warehouse and in the ERP, not with a generic blueprint.

Mark Bailey
Senior AI Solutions Architect
Mark is a solutions architect who builds Claude-based systems that teams use every day. He led a Claude Team rollout for an e-commerce brand, connecting Office 365, Shopify, Klaviyo and Dropbox, and training the team until they were building their own skills. For a college research center, he built department skills that include a contract builder that drafts ready-to-sign contracts from a plain-language interview, and a report builder designed so it cannot invent a number. He also built a benefits analytics platform end to end, now running in production on AWS.
Before that, Mark spent more than a decade in marketing and sales leadership at The Bailey Group and NFP, where he served as Director of Sales Marketing. That background shapes how he builds: for the people who will use the system every day, not just the people who sign off on it.

Will Hessinger
AI Solutions Architect, Supply Chain
Will builds agentic solutions for distributors, manufacturers and logistics companies, working day to day on the agents and automations that take repetitive work off operations teams. He specializes in Azure, SharePoint and Claude, connecting AI to the documents, data and systems a client already runs. Will is an Industrial Engineering graduate of Penn State, where he focused on process optimization, manufacturing systems and data analytics. That training means he maps how the work actually flows before he automates any of it.

Ryan C. Soriano
Sales Development Representative
Ryan is often the first person a business leader hears from at SupplyTech. He works with CEOs and COOs of privately held companies to understand where their operations stand and whether a conversation with our architects makes sense, then sets up that first meeting. Ryan also coordinates SupplyTech's podcast appearances and speaking engagements, connecting the team with the audiences and events where operators are talking about AI.
Frequently asked questions
What does SupplyTech Solutions actually do?
Who is this for?
Do I need to replace my ERP?
How much does it cost?
Which ERP systems do you work with?
How is this different from an AI consultancy or a software vendor?
What happens after the engagement?
Ready to build?
Take the first step toward integrated AI operations. Let's design a system that works as hard as you do.
