AI for Manufacturing

We build AI

Integrations.

On top of your
manufacturing ERP.

FlowCo helps 50 to 500 person discrete manufacturers running Acumatica, NetSuite, SAP Business One, or Epicor turn ERP and commercial data into real-time dashboards and governed AI copilots, so operations, sales, finance, and customer service finally share one source of truth.

Book free 30-min discovery callFree · 30 min · No obligation call

Built byCharles Penn · Founder, FlowCo/Shipping production systems since 2022

What we build

Four ways we put AI to work on your manufacturing stack.

Want to see this in practice? Read the 10 AI use cases we've shipped for discrete manufacturers.

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ERP

AI in ERP systems.

We connect your ERP, CRM, and other manufacturing systems into a unified data platform and add governed AI on top, so every team sees the same numbers in real time instead of reconciling spreadsheets. Built for Acumatica, NetSuite, SAP, Epicor, and similar ERPs.

AcumaticaNetSuiteSAPEpicor

Dashboards

AI production dashboards.

Real-time production, order, and capacity dashboards on top of your ERP data, plus AI-assisted planning that highlights late orders, bottlenecks, and "what if" scenarios before they become firefights.

Order statusCapacityLate-order alertsWhat-if planning

Agents

AI agents and copilots.

Read-only AI agents that let operations, sales, and customer service teams query live ERP data in plain language, with role-based access, approvals, and full audit trails so leadership can trust every answer. Recommend versus execute is enforced as a boundary, not a checkbox.

Plain-language queriesRole-based accessAudit trails

Decide

Manufacturing AI software: buy, build, or layer.

The buyer-side decision page. We walk through buying off-the-shelf, building in-house, or layering AI on top of your existing ERP, with a vendor-evaluation checklist and a side-by-side comparison across five dimensions.

Buy / build / layer7 vendor questionsHonest fit guide

Let's build

Bring us your ERP headache. We'll ship the system that fixes it.

In a 30-minute fit call, we map your highest-impact manufacturing workflow, check the data behind it, and show you whether AI is actually ready to ship in 6–8 weeks. The discipline is the work, not the model.