AI for small, medium, and PE-owned businesses

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.

Brands we deliver value for

LEPCO Widespread Waterfowler TruckAtlas The Richardson Group RRE Forestry & Plantation Management
The gap

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.

AI capabilityModels, agents, automation platforms, data tools
Claude EnterpriseChatGPT WorkAgentsMCP
SupplyTech: the layer in betweenArchitecture, integration, automation and enablement that connect capability to how your operation really runs.
DiscoveryArchitectureBuildAdopt & scale
Your operationsERP, CRM, TMS, WMS, shared drives, spreadsheets and the people who run them
What we do

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.

Who it's for

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.
Results

Proven operational impact

Outcomes from production systems running inside real operations.

11 hrsof admin labor recovered per weekPurchase order automation for a mid-market distributor, with zero custom ERP code.
Zerocustom ERP code requiredBoth documented builds ran on the client's existing ERP without modifying it.
Same-dayfinancial posting, down from 30 to 45 daysThree logistics channels consolidated into one event-driven data model before touching the ERP.
How we work

Foundation first. Then build. Then scale.

01

Foundation

We conduct a deep audit of your current systems, data flows and operational bottlenecks to build a comprehensive AI roadmap.

02

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.

03

Adopt & Scale

We enable your workflows through deep training and scaling protocols so AI becomes a primary driver of operational efficiency.

04

Optimize

Continuous technical oversight and refinement cycles keep your AI infrastructure secure and current with emerging advancements.

Ed Hitchcock, Principal AI Systems Architect at SupplyTech Solutions
About

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 at SupplyTech Solutions
Team

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 at SupplyTech Solutions
Team

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 at SupplyTech Solutions
Team

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.

FAQ

Frequently asked questions

What does SupplyTech Solutions actually do?
We build AI agents and automations that your team uses every day, connected to the systems you already run. That ranges from a six-week AI rollout for a small team to production-grade agent systems and ERP modernization for larger operations.
Who is this for?
Small and medium-sized businesses, PE-owned portfolio companies preparing to scale or exit, operators preparing to scale, and organizations modernizing legacy systems. It is not for enterprises with dedicated ML teams, and it is not for anyone looking for a quick prototype.
Do I need to replace my ERP?
Usually not. We start with an assessment of what is actually broken or misconfigured. Most of our work connects AI and automation to the systems you already run. Where migration is the right call, we manage it end to end.
How much does it cost?
Our Small Business AI Implementation is a fixed fee starting at $35,000. That covers the six-week build, three agents, one automation, full team training and three months of support. Enterprise engagements are scoped after a discovery phase, and most run $100,000 to $200,000. You buy any software licenses directly, with no markup from us.
Which ERP systems do you work with?
We have worked in Microsoft Dynamics 365 (including Supply Chain Management), Oracle NetSuite, Oracle Fusion Cloud ERP, SAP S/4HANA and IBM i (AS/400) ERPs. We connect AI to the system you already run, with read-only access by default, so nothing in your ERP changes without your approval.
How is this different from an AI consultancy or a software vendor?
Our leadership comes from more than ten years of operations and supply chain work, not a software-only background. We build in your environment, connected to your real systems, and we stay through go-live until the system is stable and your team is confident.
What happens after the engagement?
Everything built is yours. Most clients keep us on for ongoing support, monitoring and iteration as operations scale, but you can also run what was built with your own team.
Next step

Ready to build?

Take the first step toward integrated AI operations. Let's design a system that works as hard as you do.