Your ERP and everything around it, agreeing on every PO, order and invoice.
Senior engineers who connect your ERP to purchasing, AP, 3PLs, storefront and CRM, using your middleware where it fits and owned code where it is lighter. AI made custom builds cheap, so you get software that fits how you run, in your cloud and yours to keep.
Why these projects fail, and why ours don't.
The killers are small facts about how you operate that never survive a weekly status call. We sit inside the business, so they never have to travel.
Your systems, and the layer that moves data between them.
We are not selling middleware. We pick the lightest option that fits what you already run, and the mappings and logic live in your repo either way.












































Your ERP stays the record. Everything that changes weekly lives beside it.
The spec says the fields match. The data says otherwise.
Before anything goes live, every status and field is mapped against real records from both systems. The flagged rows are the go-live incidents that now never happen.
| 3PL status | NetSuite status | Customer sees | Finding |
|---|---|---|---|
| SHIPPED | Fulfilled | On its way, with a date | Clean, 1:1 |
| DELIVERED | Closed | Delivered | Clean, 1:1 |
| PARTIAL_SHIP | (no equivalent) | "On its way" for items still in the warehouse | Needs split-order logic before go-live |
| RTS_CARRIER | Fulfilled | Delivered, for an order coming back | Return path unmapped: refund and restock stall |
| EXCEPTION_HOLD | Pending | Silence | The cancellation window: route to exception queue with a reason |
Illustrative excerpt; the real mapping covers every field that crosses systems.
One client, four integrations, growing trust.
amp, connected fitnessFewer stuck orders, and fewer cancellations between purchase and installation. About 18 months on, Salesforce itself came off for a system amp owns, hosted for ~$30 a month. "The first system they trusted."
Read the full case study โWe built the integrations that carried amp from a spreadsheet to thousands of orders a day. When the Salesforce on top became a ~$300k a year front end, we replaced that too.
The backbone integration, end to end: Shopify, NetSuite, the 3PL and Salesforce reconciled into one order flow, and the fulfillment team's day became the exceptions.
Governed AI chat on everything you just connected.
Your definitions and reconciliation rules are encoded into the layer, so questions that used to be tickets get answered correctly, in seconds, by anyone on the team.
Did every order that shipped yesterday get invoiced?
2,214 of 2,219 shipped orders are invoiced and matched. The 5 open ones are in the exception queue with reasons: 3 partial shipments awaiting the second carton, 2 refunds crossing the invoice run. Nothing needs you today.
Illustrative exchange.
How the governed AI layer works โWhen the CRM is mostly a front end, we build the desk instead.
amp switched off a ~$300k a year Salesforce setup for an operations desk it owns, running on its own cloud for a few dollars a month. Orders, service events, carriers, surveys and subscriptions sit in one place, and it writes to the same warehouse the reporting reads from.
- Every rule explains itself: a blocked action says which check failed.
- Your ops lead edits the rules, without an admin ticket.
- Every connector is read-only until write access is granted.
- Shadow run and flow-by-flow cutover before any licence goes off.
Get in touch.
Tell us what you are trying to figure out. If we can help, we will say how. If we are not the right fit, we will say that too, and point you somewhere better.