We connect the platforms your operation runs on — ERP, CRM, payroll, accounting, warehouse and field systems — through an integration layer that retries on failure, quarantines what it cannot process and tells someone when it stops. The objective is not more connections but fewer surprises at month end.
Integration failures rarely announce themselves. They surface as a figure that does not agree between two systems, usually days after the cause.
A scheduled export feeds another process. When it stops — a password expired, a disk filled, a field renamed — the only symptom is absent data.
A request times out, the caller sends again, and the receiving system creates a second invoice. Without idempotency handling a transient fault becomes a data-quality problem.
The CRM reports a different revenue figure to the ERP. Both are internally consistent; they apply different rules about when an order is earned, and nothing documents the difference.
A provider deprecates a field and the integration keeps running while writing blank values. Contract tests would have caught it at release; nothing was watching.
Integration work divides into building exchanges, replacing fragile ones and adding governance. We scope each separately so you can choose where to start.
Versioned REST and event-driven interfaces with authentication, rate-limit handling and documented contracts.
API patterns →Retiring point-to-point scripts in favour of one governed layer with shared error handling.
On integration debt →Scheduled comparisons that report variance by record, so a discrepancy can be traced to the transaction that caused it.
Why it matters →Health checks, alert routing and a documented escalation path. We treat a silent failure as a severity-one defect.
Response targets →Integration projects fail when they start with code rather than an inventory. We establish what exists before changing anything.
We catalogue every exchange: source, destination, trigger, payload, owner and failure mode. Most clients are surprised by the count. The inventory is the baseline for everything that follows.
For each exchange we record the agreed shape of the data, which side owns which field and what happens to an invalid record. Ambiguity here produces duplicate and partial records later.
Exchanges are implemented with idempotency keys, bounded retry with backoff and a dead-letter queue. Held payloads are inspectable and replayable, so recovery needs no database script.
The new pipeline runs alongside the old one until reconciliation agrees across a full cycle including a month end, after which the old connector is disabled and kept available for rollback.
Described by sector only.
A Perth-based mining services contractor was moving mobilisation data, timesheets, purchase orders and equipment hours between an ERP, a CRM, a payroll platform and two departmental spreadsheets. Fourteen connectors had accumulated over a decade, three with no identifiable author. Failures surfaced when payroll figures did not reconcile, two days before a pay run. We inventoried every exchange and built a single hub with shared retry and quarantine behaviour.
These mechanisms are present in every integration we ship. Without them an interface is reliable only until the first unusual condition.
Every write carries a key derived from the source record. A repeated delivery updates rather than inserts, so a retry cannot produce a second invoice.
Payloads that fail validation or exhaust retries move to a quarantine queue with their error context intact. An operator can replay a record without a developer.
Transient faults are retried on an increasing schedule with jitter, so a brief vendor outage does not produce a retry storm.
Payload contracts carry an explicit version and are validated on receipt. A vendor change produces a visible validation error, not a field quietly arriving empty.
Each night the pipeline compares source and destination control totals, reporting variance by record. The report goes to a named recipient.
Automated tests assert the agreed shape of every payload. A vendor release that breaks an assumption fails the build before deployment.
Indicative only, based on programmes delivered since 2021. A single documented REST exchange sits at the lower end; consolidating a decade of connectors sits at the upper end.
The engagement ends with documentation your team can operate from. Each item is produced during delivery and reviewed before cutover.
Rarely. Many mid-market platforms expose only a database view, scheduled export or SFTP drop. We design around what exists and state the limitations so you can weigh them.
No. Exchanges migrate in a sequence ordered by risk and value, with the old connector disabled only after a successful parallel run.
Whoever you nominate, by the channel you nominate. We confirm the arrangement with a deliberate test failure before go-live.
Transport is encrypted, credentials sit in a managed secret store, and payloads are logged as identifiers where personal information is present.
Most clients continue on a monitoring arrangement covering health checks, alert response in AWST hours and a monthly reconciliation review.
We start with an inventory. You will have a clear picture of every exchange before any build is proposed.
