AI for founder-led and family-owned businesses

We make AI actually work in your business

SupplyTech builds AI agents your team uses every day, connected to the systems you already run. We set it up, plug it into your ERP and workflows, train your people, and stay until it is part of how work gets done.

Brands we deliver value for

LEPCO Widespread Waterfowler TruckAtlas The Richardson Group
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
LLMsAgentsRAGPower PlatformFabric
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, SharePoint, 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 Architecture & Builds

Agentic systems, RAG and LLM orchestration 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.

  • Founder-led mid-market enterprisesLeadership that wants to move fast and owns the outcome.
  • Family-owned businessesModernizing operations without a two-year implementation.
  • 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.
60%reduction in procurement cycle timeAgentic approval routing for a family-owned manufacturer, removing four manual handoffs.
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, SupplyTech Solutions

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 mid-market enterprises.

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.

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?
Founder-led mid-market enterprises, family-owned businesses, 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 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.