Commerce Control
The error that wasn't an error.
Your integration dashboard says zero errors. Underneath, records are being dropped, deposits stranded, and queues aging for years, none of it loud enough to trip an alert. We find these today, by hand, in the data-integrity work. Commerce Control is where that work is heading: a governed library of controls watching the seams between Shopify, Celigo, and NetSuite so the finding happens before month-end does.
Integration dashboard
Healthy0 errors
All flows healthy · last sync clean
Commerce Control · what it'd watch for
3 silentC6 · Auto-resolve backlog
14,065 records stuck in the resolve queue; 7,700 sitting since 2018
C7 · Lookup coverage
71 deposits; $80K stranded by one missing lookup row
C8 · Import-filter integrity
~2,039 orders/month silently dropped → $1.8M/yr audit gap
Your integration dashboard says zero errors. It's lying.
Anonymized from one high-volume Shopify/Celigo/NetSuite brand · illustrative · controls library in draft
The failures nobody gets paged for
A green dashboard is not the same as a clean one.
Shopify, Celigo, and NetSuite each report on themselves. Each one can be perfectly healthy while the work falls through the fragmentation between them: a filter that excludes the wrong records, a lookup with a missing row, a queue that ages instead of clearing. None of it throws an error, so none of it shows up until the close stalls on a number no one can explain.
Commerce Control is the idea of a library of controls that watches those seams directly. We are describing intent shaped by what we learn operating the current stack with clients, not committing features, dates, pricing, or scope. As it takes form, registered teams will hear about it first.
What we'd watch for
Six controls, drawn from real silent failures.
Every example below is anonymized from one high-volume Shopify/Celigo/NetSuite brand, and none of it had tripped an alert. These are the failures a data-integrity engagement goes looking for, and the ones Commerce Control is being built to watch continuously.
C8
Import-filter integrity
One filter clause, a single `cancelled_at is empty` rule, quietly dropped thousands of orders a month, a seven-figure annual audit gap that never threw an error. We'd watch the filters on every import flow for the records they silently exclude.
C7
Lookup coverage
A deposit-flow lookup missing one row left dozens of deposits, tens of thousands of dollars, stranded with nothing to map them to. We'd watch lookups for the keys that arrive with no match and pile up out of sight.
C6
Auto-resolve backlog
An auto-resolve queue held more than ten thousand items, much of the backlog aging for years, while the dashboard reported zero errors. We'd watch the resolve and retry queues for the backlog that ages instead of clearing.
C1
Invoice-field integrity
Thousands of wholesale invoices stuck on a missing or malformed field, none of them surfacing as a failure. We'd watch the fields a transaction needs before it can post, and catch the gaps before month-end does.
C2
SuiteScript timeout watch
Scripts that time out under load don't always announce it. They just stop finishing the work. We'd watch script governance and execution windows for the runs that quietly run out of room.
C12
Connection-ownership audit
A production connection bound to an outside consultant's personal Google Sheet is a live dependency on someone who may already be gone. We'd watch who and what each connection actually points at, so ownership never walks out the door.
The numbers above are anonymized observations from one source environment. They describe what was hiding under a clean dashboard, not Commerce Control's performance.
The principles behind the direction
What we're designing toward.
These are commitments we're designing against, not promises about a finished product. They reflect how Altura already operates: governed, human-approved, watching the seams where systems hand off.
01
Watch the seams, not the systems
Most failures don't happen inside Shopify, Celigo, or NetSuite. They fall through the fragmentation between them. Commerce Control is imagined to watch the handoffs each platform reports as fine on its own, where a green dashboard hides a silent gap.
02
Catch silent failures before month-end
The expensive errors are the ones that never throw an error: a dropped record, an unmatched lookup, an aging queue. The intent is to surface those while they're still small, before they become a reconciliation no one can explain at close.
03
Human-approved by design
Consistent with how Altura works today, the aim is automation that proposes and a person who approves. A control surfaces what it sees and routes it for a decision, never a set-and-forget action against the systems where the money moves.
How it relates to what runs today
Built on the stack that already runs.
Commerce Control wouldn't replace the products that run today. It is imagined as the controls layer that watches the seams between them. Everything available now stands on its own and is built and supported already.
Register interest
Tell us which silent failure hurts most.
This is an invitation to follow along, not a purchase, and no pricing is set. Tell us where your dashboard says “healthy” while something underneath is quietly going wrong. We'll fold what we hear into the roadmap and keep registered teams in the loop as Commerce Control takes shape. Pricing, when it exists, will start from a figure we'll share directly. For now, the conversation is the point.
Frequently asked questions
Looking for what's available now? Explore the Altura products.
Where does your dashboard say “healthy” while the truth is stuck underneath?
Commerce Control is forthcoming: an early controls library still in draft. Register your interest and help shape what it watches for. No commitment, no purchase, no pricing set.