Each business object has an authoritative source
Customer, inventory, order, invoice or another record is owned by a defined system so downstream platforms know whether they may update or only consume it.
STRATEGY · DESIGN · ENGINEERING · GROWTH
Custom Systems Integration
Custom Systems Integration. A connector is not an integration architectureSystems can exchange data and still disagree about what the data means.OZDigitech connects commerce, CRM, ERP, finance, identity, logistics, data and custom platforms through APIs,...
Business-first discoverySenior technical thinkingSecure, scalable architectureMeasurable outcomes
Custom Systems Integration. A connector is not an integration architecture
Systems can exchange data and still disagree about what the data means.
OZDigitech connects commerce, CRM, ERP, finance, identity, logistics, data and custom platforms through APIs, webhooks, events and controlled data workflows.
Our team defines the contract, source of truth, timing, identity, failure behaviour and reconciliation for each connection. That turns integration from invisible plumbing into an operating system the client can understand.
The objective is fewer manual handoffs and fewer silent contradictions, not simply more connections between applications.
01
Integration contract
Before data moves, decide what each system is allowed to claim as truth.
Every connection starts with ownership, identifiers, schemas and the business event that justifies synchronisation.
Records need stable cross system identifiers
Matching rules prevent duplicates and make replay possible without assuming names or email addresses are permanent unique keys.
Field meaning is documented, not inferred
Types, units, required state, lifecycle and allowed values are mapped so integrations do not silently transform business meaning.
02
Timing and event design
Not every piece of data needs to move immediately, but every delay should be intentional.
Event driven, scheduled and batch integration are chosen according to the consequence of stale information and the capability of the source platform.
Webhooks react to meaningful state changes
New order, payment, customer update or service event can trigger downstream work without repeated polling when the platform supports reliable notifications.
Batch work is appropriate when immediacy creates no value
Large catalogues, reporting or reference data can move on a controlled schedule with validation and reconciliation.
Dependencies are applied in the correct order
Related records and state changes are coordinated so downstream systems do not receive an order before the customer or product context required to interpret it.
03
Failure and recovery
The integration is not complete until the team knows what happens when the other system is unavailable.
Timeout, retry, duplicate, rejection and partial success are designed into the flow before production traffic exposes them.
Transient errors retry without repeating side effects
Idempotency and correlation protect external writes when a request must be repeated after network or provider failure.
Invalid records stop with an explainable reason
Validation failures preserve the source record and the field or rule that prevented transfer so operations can correct the issue deliberately.
Failed work can resume from known state
Queues, audit records or workflow state allow recovery without asking staff to reconstruct what already succeeded manually.
04
Observability
A connected system should make it possible to answer what happened to this record.
Correlation follows one business event across systems
Identifiers connect API calls, jobs and provider responses so operators can trace the path of a specific order, customer or transaction.
Alerts represent business impact, not every technical warning
Repeated failures, growing queues or blocked high value workflows receive attention according to consequence.
Periodic comparison finds silent drift
Critical records can be compared across authoritative and downstream systems to detect missing or inconsistent state that individual events did not expose.
Integration operating model
Source ownership, contract, event, recovery and reconciliation.
The connection becomes dependable when the business can explain where truth lives and what happens when data does not arrive as expected.
01System of record
02Contract and identity
03Events and workflows
04Recovery and reconciliation
Know who owns the data before deciding how fast it should move.
Can OZDigitech connect systems that use different APIs?
Yes. We can normalise authentication, data shape and events through integration services where direct point connections would create too much duplication or coupling.
What if a platform has no webhook support?
Scheduled polling, batch transfer or another supported mechanism may be appropriate. The choice follows freshness requirements, limits and the consequence of delay.
How do you prevent duplicate records?
Stable identifiers, matching rules, idempotency and authoritative ownership are defined before synchronisation so repeated events do not create repeated business objects.
Can integrations be monitored?
Yes. Correlation, logs, queue state, failure alerts and reconciliation can provide visibility into both technical health and affected business records.
Deep dive
WEBSITE TRANSFORMATION & DIGITAL REVENUE SYSTEMS
See how design, engineering, AI, search, automation and analytics change the commercial role of a website.
The full guide explains the complete transformation—from perception debt and customer intent to Core Web Vitals, CRO, RAG, CRM integrations, observability and the revenue architectures that fit different business models in 2026.
GLOBAL DELIVERY / REGIONAL CONTEXT
Built for ambitious teams across major digital markets.
OZDigitech works with digital products, commerce businesses and operational teams across Australia, the United States, the United Kingdom, Canada, the Middle East and India. Discovery, architecture, documentation and delivery are structured for clear ownership across time zones, while technical decisions can account for the privacy, accessibility, commerce and platform expectations relevant to each market.
Australia & New ZealandUnited StatesUnited KingdomCanadaUAE & GCCIndia & South Asia
HOW WE WORK
A clear path from commercial problem to dependable digital capability.
Discover
Clarify the customer, workflow, commercial goal, constraints, evidence and success measures before committing to a solution.
Design
Prototype the important journeys, system behaviour and information model so risk becomes visible early.
Engineer
Build in testable increments with explicit architecture, integrations, security, accessibility and performance requirements.
Validate
Test real behaviour, edge cases and operational readiness rather than treating launch as the finish line.
Improve
Use product, performance and business signals to prioritise the next release and protect long-term maintainability.
READY TO BUILD SOMETHING USEFUL?
Bring us the problem—even if the solution is not clear yet.
We can help turn an idea, underperforming product or complicated workflow into a practical delivery plan and a digital system your team can confidently operate.