EDI integration services connect your ERP to your trading partners X12 or EDIFACT documents — here is how a custom build runs.
Step 1
We collect every trading-partner spec you are held to — 850, 810, 856, 997 — and map them against what your ERP actually accepts. You leave the session with a document-by-document gap list, not a discovery deck.
Step 2
One document type, end to end, on your real partner data — inbound 850 parsed, validated, and written into your ERP with a 997 back. Not a demo: the same architecture we harden for production, the same approach we use on every AI MVP build.
Step 3
Maps for every partner and document, plus the exception queue that decides whether EDI works: rejected 997s, price and UOM mismatches, ASN timing failures. Routed to a person with the reason attached, not dumped in a log file nobody reads.
Step 4
We onboard partners in waves, starting with your highest-volume account, and watch live traffic before the next wave goes on. You receive the repository, the maps, the runbooks, and a monitoring dashboard — the same handover discipline behind our AI automation consulting engagements.

Before you sign for a full rollout, you see one real document flow end to end on your own partner data. If the extraction, the mapping, or the ERP write-back does not hold up, you find out in week two — for the price of a prototype, not a program.
We have not published an EDI case study yet. The nearest published work is the same discipline on the same kind of data: a procurement RFP pipeline that cut evaluation from 28 days to 72 hours on a $72,000 build, and a self-healing retail data pipeline that held 12% of margin.

Every EDI pipeline runs inside your own cloud perimeter. Purchase orders, pricing, and customer addresses never leave it, and nothing you send through it trains a public model.
You own the repository, the maps, and the connectors. There is no per-document fee, no per-partner seat, and no platform holding your trading-partner relationships hostage if you decide to bring EDI in-house.
No junior bench learning X12 on your account. An integration specialist, an AI/ML engineer, and a solutions architect stay on the build from the spec review through partner go-live.
Adding partner number forty costs a fraction of partner number one, because the parsing, validation, and exception layers already exist. The same engine extends to invoices, remittances, and order acknowledgements.
$55,000+
Multi-partner EDI across your whole trading network, with AS2 and SFTP transport, a partner-onboarding workflow, and connections into more than one system of record. For distributors and manufacturers where EDI volume is the business.
What's included?
Partner Onboarding: a repeatable workflow your team runs without engineering help
Multi-System Integration: ERP, WMS, and e-commerce platforms connected to one pipeline
Compliance: SOC2/GDPR-aligned deployment with a full transaction audit trail
Team Training: runbooks and hands-on onboarding so your team operates it
You could rent a VAN, brief an offshore team, or stitch together three contractors — or work with one accountable team that owns EDI end to end.
Classic engineering for transport and audit, AI extraction for documents no template fits, low-code for the exception queue your team lives in.
One solutions architect and integration specialist own your EDI build from spec review to partner go-live, with no handoffs between disconnected vendors.
You pay once to build it, then for hosting — not a kilocharacter fee that grows every time your order volume does.
The ERP write-back that most EDI projects treat as an afterthought is where we start, because it is where they usually fail.
Whether you are a ten-person supplier facing your first retailer mandate or a distributor with forty partners on an aging VAN contract, the sequence is the same — and it starts with a free audit, not a proposal.




EDI shows up wherever a larger partner sets the rules. These are the operations where we already run production systems, and where an EDI layer usually pays for itself fastest.
Every month on a per-document contract is money that buys nothing you keep. Bring one partner spec and a month of transactions, and you will leave with a real number. You will speak with a solutions architect, not a salesperson.
A single document type with one trading partner is live on your real data in about two weeks. A full production flow across your core document set typically runs six to eight weeks, including ERP write-back and the exception queue. Multi-partner rollouts add roughly one to two weeks per onboarding wave, not per partner.
Builds start at $12,000 for a validated prototype and $28,000 for a production flow with one partner. The comparison that matters is not against a monthly platform fee but against three years of it: most SMBs we talk to are paying per document, per partner, and per seat at the same time, and the build breaks even somewhere in year two.
Yes — the repository, the partner maps, the connectors, and the documentation are yours at handover. There is no proprietary runtime you have to keep licensing to make your own maps work. If you later hire an internal integration engineer, they inherit a normal Python codebase, not a black box.
The pipeline runs inside your own cloud perimeter under SOC2/GDPR-aligned practices. Purchase order volumes, negotiated pricing, and customer ship-to data stay in your tenancy and never train a public model. Transport uses AS2, SFTP, or your partner’s required protocol, with a full audit trail on every transmission and acknowledgement.
That is the part we treat as the project rather than the afterthought. We build direct API write-back into NetSuite, SAP, QuickBooks, Workday, Coupa, and legacy ERPs, and we map every field a document needs before writing a line of parsing code. If your ERP has no usable API, we say so at the audit stage.
You choose. Some clients take the runbooks and run it themselves; others keep us on a managed EDI arrangement for partner onboarding, spec changes, and exception triage. Either way the system keeps running if you stop paying us, which is the difference between a managed service and a platform subscription.