Accept
Authenticate the sender and preserve the event envelope before acknowledging accepted work.
- Receives
- Webhook or scheduled extraction
- Produces
- Durable receipt and correlation reference
Integration engineering
Connect CRM, marketing, analytics and business applications through explicit data contracts and observable workflows.
Let’s connect
A reliable path between systems
A connector is only one part of an integration. The complete design includes identity, delivery semantics, field ownership and a recovery route.
Normalize
Map source fields into a versioned contract, resolve external identifiers and enforce the permitted direction of updates.
- Receives
- Source object and mapping version
- Produces
- Validated destination command
Apply
Perform the intended action with deduplication and destination specific retry behavior.
- Receives
- Validated command and action key
- Produces
- Destination reference and outcome
Reconcile
Compare source and destination records on a schedule to find missed events, drift and unresolved deletions.
- Receives
- Source snapshot and processing ledger
- Produces
- Reconciliation report and recovery work
Step 1 of 4
Inspect the data contract.
Select a field to examine its owner, permitted changes and conflict handling. Clear ownership keeps updates consistent across systems.
| Field or object | Accountable owner | Mapping and control |
|---|---|---|
| Source platform | Stored with tenant and object type to prevent identifier collisions. | |
| Integration owner | Changes are reviewed before consumers adopt the new mapping. | |
| Integration service | Represents one business effect and survives retries. |
Resolve the important decisions.
Event or scheduled transfer
Choose events for timely changes and scheduled extraction for history or reconciliation. Many workflows need both.
Field conflict
Assign write authority by field. A blanket latest timestamp rule can overwrite a legitimate business decision.
Validate before handover.
Select the scenarios to discuss with your implementation team.
0 of 3 selected
Test an example workflowPlatform documentation
Built around how you operate.
An integration needs to answer more than whether two applications can exchange data. It must establish which system owns a value, how a record is identified, what a change means and how failures are recovered. UniLink designs integration scopes around those questions before selecting native connectors, workflow platforms or custom APIs.
We map the flow from source to destination, including transformation, validation and reconciliation. Depending on your requirements, the architecture may use webhooks, scheduled extraction, queues or database change feeds. The choice follows the latency, volume, access and operational requirements of the process.
What we help you build.
Integration architecture
Map application responsibilities, dependency boundaries and the sequence in which connections should be introduced.
CRM synchronization
Define record matching, field ownership, relationship mapping, deletion behavior and conflict resolution across CRM systems.
Custom API connections
Specify authentication, pagination, versioning, validation and request limits for platforms that require a tailored integration.
Event processing
Design duplicate handling, retry policies, event ordering assumptions and a recovery path for failed messages.
Data movement
Plan initial loads and incremental updates between operational systems, warehouses and reporting tools.
Operational handover
Document the mapping, credentials ownership, monitoring, escalation and reconciliation procedures required to run the connection.
How the work comes together.
Define the contract
Agree records, events, field owners, required freshness and the business consequence of delayed or incorrect updates.
Select the pattern
Compare native connectors, automation platforms and custom services against control, cost and maintenance needs.
Validate failure behavior
Test duplicate delivery, throttling, unavailable destinations, partial success and incompatible schema changes.
Operate with visibility
Track execution outcomes, data freshness and reconciliation results with a documented route for resolving exceptions.
The engineering detail.
Read the contracts, controls and failure behavior behind a maintainable implementation.
A few practical questions.
Should every integration run in real time?
No. A lead assignment may need a short delay, while a financial report may suit a scheduled refresh. We agree the freshness requirement with the people who use the data.
Do you use native connectors or custom code?
Both are options. A native connector can reduce maintenance when its data model and controls fit. Custom work is appropriate when the process requires behavior the connector cannot support.
How do you choose the right integration approach?
We compare the required objects, update frequency, access model and recovery needs with the platform API. That determines whether a native connector, an orchestration tool or a custom service is the right fit.
Make the next connection.
What could work better, together?
Tell us where your operations are today. We’ll help you see what comes next.