The interfaces, with an owner for every failure
Most stalled implementations are not a module problem. They are a set of interfaces nobody monitors and nobody owns. We design that layer first and hand it over documented.
An interface failed on Friday and was noticed on Monday.
Nobody knows which system is the master for an item code.
A file lands, fails silently and is retried by hand.
The last integrator left and took the mapping with them.
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.
Send us your interface list.
If there is no list, that is the first thing we will build with you.