ERP Integration Services, No Re-Entry

We start by cataloging every system you run, what data lives where, and which handoffs happen by hand. The re-typed order, the emailed spreadsheet, the Friday export: each one is a cost we write down. The output is a map of your stack with the manual seams marked.

• Inventory of systems and owners

  Every tool, who uses it, and what data it holds, from the storefront to the ledger.

• The manual seams

  Where people re-type, reconcile, or carry data between systems, and what each seam costs monthly.

• Priority order

  Not everything should be integrated at once. We rank connections by payback, not by novelty.

Before anything connects, we agree what the data means. Which system owns the customer record. What happens when both sides change the same order. How refunds, partial shipments, and edge cases flow. ERP data integration fails on mapping, not on code, so this step is written down and signed.

• Field-by-field mapping

  Every synced field has a source of truth, a direction, and a transformation rule.

• Conflict and duplicate rules

  What wins when systems disagree, decided on paper before it happens in production.

• Financial integrity rules

  For anything touching money, the mapping is reviewed with accounting logic, not just field names.

Each connection gets the cheapest reliable method, checked in this order: native connector, direct API, webhooks, middleware, EDI. You see the reasoning and the cost per connection before anything is built, and if a native connector covers it, that is the recommendation you get.

• Native-first check

  We do not rebuild what your ERP vendor already ships. Custom work is for real gaps.

• Architecture you can read

  A one-page diagram of what connects to what, and through which method, kept current.

• Fixed fee per connection

  Each integration is priced in writing before the build starts.

We build in a staging environment against real sample data, never live against production. Connectors handle authentication, rate limits, retries, and the failure cases APIs actually throw. The boring engineering is the product: an integration is only as good as its worst Tuesday.

• Staging first

  Every connector proves itself on staging data before it touches a production record.

• Failure-case handling

  Timeouts, rate limits, and malformed payloads are handled and logged, not discovered later.

• Security by default

  Keys stored properly, least-privilege access, and no third-party relay for your data.

Before go-live we run both systems side by side and reconcile: record counts, order totals, and financial balances matched between source and destination. For accounting integrations that reconciliation is signed off the way a CPA would sign it, because one of ours does.

• Side-by-side validation

  Real transactions flow through both paths and the results are compared line by line.

• Financial reconciliation

  Balances and totals matched and documented before the switch is thrown.

• Your team in the loop

  The people who live with the integration see it work and sign off on the flows.

Integrations decay: APIs version, partners change formats, volumes grow. Ours ship with logging, alerting, and retry logic, and we watch them under a support arrangement with US-hours response. When something breaks upstream, we are usually fixing it before you notice.

• Alerting and retries built in

  Failed syncs retry automatically and page us when they should not.

• API change management

  Version deprecations are tracked and handled before they take a sync down.

• Room to grow

  New channels, new warehouses, and new systems join the architecture without a restart.