What we build, and how it is operated
Patterns are chosen per interface, then documented so your team can run them without us.
APIs and events
Request and reply where an answer is needed now, events where the receiver can catch up.
Mapping and transformation
Field level mapping held as configuration, versioned, with the business rule stated beside it.
Monitoring and alerting
Every interface has a health signal, a retry policy, an alert route and a named owner.
Master data governance
One system of record per entity, with the flow of changes outward from it made explicit.
Included in every integration scope
Interface inventory and owners System of record decisions Error and retry standard Idempotency and replay design Monitoring dashboard Runbook per interface Environment and cutover plan Handover to your team
Patterns we use
What AI does in the integration layer, specifically
It reads logs faster than a person can. It never changes a mapping on its own.
Failure clustering
Errors grouped by root cause across interfaces, so one fix closes fifty alerts instead of fifty tickets.
Mapping drafts
A first-pass field mapping between two schemas, proposed for an engineer to correct and version.
Anomaly detection
Volume and timing that departs from an interface’s own pattern flagged before a downstream close breaks.
Runbook assist
The relevant runbook step and prior occurrences surfaced with the alert, not in a wiki someone must find.
What the integration layer usually connects
Enterprise resource planning
Finance, procurement, production and customer records on one ledger.
WMSWarehouse management
Receiving through dispatch on one stock ledger.
OMSOrder management
Capture, orchestration and fulfilment routing across sites.
ERP implementation checklist
Thirty-one decisions that determine whether a rollout lands, most of which come before anyone configures anything. Readable in full, no email required.
