SolutionsSystem Integration

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 integration projects fail

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.

The typical project
Your business
โ—โ—โ—โ—โ—
โœ—the 3PL edge case
โœ—what "fulfilled" means here
โœ—customers resubmit surveys
1 status call a week
The agency
A PM who moves tickets ยท an engineer who builds to spec
Green calls all the way to a broken go-live.
The Meridian project
Your business
โ—โ—โ—โ—โ—
Meridian, in the buildingan ops-experienced lead + a senior engineer
โœ“the 3PL edge caseโœ“what "fulfilled" means hereโœ“customers resubmit surveys
No gap. Caught in week two, built before cutover.
The status reports were green. The go-live wasn't.
Their timeline
โœ“
week 4on track
โœ“
week 10on track
โœ“
week 16on track
โœ—
go-liveorders stuck, emergency calls
Our timeline
!
week 2"what about resubmitted surveys?"
!
week 9"these statuses don't map 1:1"
โœ“
built & testedalerts, not surprises
โœ“
go-liveboring, as planned
The stack

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.

The established platforms
Boomi, Celigo, Workato, MuleSoft, n8n: we have run them all, and when one fits your stack and your team, it is the right call.
Custom, AI-built integration
When a platform license is overkill, a senior engineer working with AI tooling builds the flow directly, often at a fraction of the license cost, and you own the code outright.
Where custom agents go further โ†’
Middleware & orchestration
Boomi
Celigo
Workato
MuleSoft
n8n
Power Automate
dbt
Boomi
Celigo
Workato
MuleSoft
n8n
Power Automate
dbt
ERP, CRM and commerce systems
NetSuite
Salesforce
Shopify
Klaviyo
Magento
Oracle
SAP
ShipStation
ShipBob
Blue Yonder
BigCommerce
Microsoft Dynamics 365
QuickBooks
Odoo
Sage
NetSuite
Salesforce
Shopify
Klaviyo
Magento
Oracle
SAP
ShipStation
ShipBob
Blue Yonder
BigCommerce
Microsoft Dynamics 365
QuickBooks
Odoo
Sage
SAP, NetSuite, Dynamics, DELMIAWorks and the rest

Your ERP stays the record. Everything that changes weekly lives beside it.

Stays in the ERP
The record
Financials, inventory valuation, purchase and sales orders as the system of record, and the processes your ERP partner configured. We don't customise the ERP's code.
Lives beside it
Everything that moves daily
Connectors to purchasing and AP (POs into SAP Concur, say), 3PLs and the storefront, the desk your team works in, exception rules, agents and reporting. Changeable in days, without an ERP change request.
How they talk
Standard interfaces only
The ERP's published APIs or exports, or the middleware you already license. Read-only first, with write access granted flow by flow.
It pays off when the ERP itself changes: an upgrade, an S/4HANA move or a switch to NetSuite. Work built beside the core should mostly move with you rather than be rebuilt.
What week two looks like

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.

Status mapping ยท 3PL โ†’ NetSuite โ†’ customerChecked against 90 days of real orders
3PL statusNetSuite statusCustomer seesFinding
SHIPPEDFulfilledOn its way, with a dateClean, 1:1
DELIVEREDClosedDeliveredClean, 1:1
PARTIAL_SHIP(no equivalent)"On its way" for items still in the warehouseNeeds split-order logic before go-live
RTS_CARRIERFulfilledDelivered, for an order coming backReturn path unmapped: refund and restock stall
EXCEPTION_HOLDPendingSilenceThe cancellation window: route to exception queue with a reason
Three of five statuses needed logic no spec had asked for. Found in week two against real orders, built before cutover, and the go-live stayed boring.

Illustrative excerpt; the real mapping covers every field that crosses systems.

How this played out

One client, four integrations, growing trust.

01
Quick automations
Orders and surveys flowing into the ops sheet, automatically.
02
The rescue
Took over a partner's broken Salesforce deployment. Fixed it clean, at a fraction of the cost.
03
The replatform
Shopify to Magento, every field mapped first. No issues.
04
The backbone
3PLs and carriers reconciled line by line, so fulfillment status finally matched reality.

Fewer 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 โ†’
From the work

We 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.

~35%
fewer cancellations between purchase and delivery
3x
order volume through the same size team
4โ†’1
four systems reconciled into one order flow
Then ask it anything

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.

COO

Did every order that shipped yesterday get invoiced?

Governed layer ยท live

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.

Using: order flow reconciliation ยท nightly batch plus live deltas ยท exception reasons from the queue

Illustrative exchange.

How the governed AI layer works โ†’
Custom operations software

When 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.
OpsDesk check panel. Demo data, sandbox environment.

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.

01
Free work first
We start by doing a real piece of work on your data, free, so the first thing you judge is output, not a pitch.
02
First build, fixed scope
One piece of work at a fixed price, scoped to a few weeks: a metric layer, a tracking plan, one agent or one pipeline, whichever gap you came with. Small enough to be safe, real enough to matter.
03
Scale when it earns it
Month to month from there, from a few thousand a month. You own every model, dashboard and definition.