Integration Platform
The Integration Platform is the connective tissue between ServiceCore and the systems that surround it. Instead of writing and maintaining brittle glue scripts, teams assemble integrations from a connector catalog, lay out the logic in a visual flow designer, and watch every execution in live run monitoring — all from one place. Because ServiceCore runs 29 modules on a single shared data model, the platform doesn’t bolt external data onto a silo; it routes that data straight into the records other modules already use, so an incident, change, request, asset, or service the integration touches is the same object the rest of the platform works on.
Built for the way integration platform should work
The Integration Platform is the connective tissue between ServiceCore and the systems that surround it. Instead of writing and maintaining brittle glue scripts, teams assemble integrations from a connector catalog, lay out the logic in a visual flow designer, and watch every execution in live run monitoring — all from one place. Because ServiceCore runs 29 modules on a single shared data model, the platform doesn’t bolt external data onto a silo; it routes that data straight into the records other modules already use, so an incident, change, request, asset, or service the integration touches is the same object the rest of the platform works on.
Each integration starts from a connector in the catalog — ERP, CRM, monitoring, identity, and chat systems plus a generic HTTP/REST connector — with authentication templates, default actions, and data schemas ready to use. Credentials (API key, OAuth 2.0, basic auth, mTLS) are stored in an encrypted secret vault and referenced by name, so secrets never appear on the canvas or in logs. In the visual flow designer you connect a trigger, transformation, and target step by step, mapping source fields to target fields with one-to-one, expression-based, or conditional rules and previewing the result against a sample payload before you publish.
Triggers, error handling, and data transformation are built into the runtime rather than left to the integrator. Flows fire on a schedule (cron), on a record event such as created or updated, on an inbound webhook, or manually. Steps that fail enter a retry policy — fixed, exponential, or queued — and anything that cannot be resolved drops into a dead-letter queue for manual repair and replay. Every run leaves an immutable record of who published which version, what data moved, and where it failed, giving the audit and continual improvement teams the same traceability they expect from the rest of ServiceCore.
Inside the platform, integrations link directly to the modules that drive day-to-day work: an event from a monitoring tool can open an incident, a CRM change can update a customer record, an identity event can adjust access, and an outbound action can post to a chat channel or push a ticket update to an external system. Field mapping aligns external schemas with the shared ServiceCore data model, and the Workflow module can invoke an integration as a Run Integration action — so a connector built once becomes a reusable building block across requests, changes, assets, and reporting.
- Connector catalog
- Visual flow designer
- Live run monitoring
- Scheduled & event triggers
- Error handling & retries
- Data transformation
What you can do with it
Connector catalog
Pre-built connectors for ERP, CRM, monitoring, identity, and chat systems plus a generic HTTP/REST connector, each shipping with authentication templates, default actions, and data schemas.
Visual flow designer
A drag-and-drop canvas where triggers, transformations, conditional branches, and target steps are connected and read as a single, reviewable flow.
Field mapping studio
Source and target schemas open side by side for one-to-one, expression-based, or conditional mapping, with instant preview against a sample payload before publish.
Scheduled and event triggers
Flows fire on a cron schedule, on record-created or record-updated events, on inbound webhooks, or manually — and a single flow can combine several trigger types.
Error handling and retries
Configurable retry policies (fixed, exponential, queued) per connector or flow, with a dead-letter queue that captures unresolved runs for manual repair and replay.
Live run monitoring
A timeline of recent executions colour-codes success, failure, and retry, and drilling into any run reveals step-by-step payloads, error messages, and durations.
Why teams adopt it
No glue code
Teams build, test, and operate integrations from a catalog and a visual canvas instead of writing and maintaining custom scripts that break on every change.
Robust, not brittle
Built-in triggers, retries, and a dead-letter queue keep integrations running through transient failures and surface the rest for deliberate repair.
Audit-ready by default
Every run records who published which version and what data moved, giving compliance and continual improvement teams full traceability without extra tooling.
Reusable across modules
A connector built once is invoked from workflows and reused across requests, changes, assets, and reporting on the shared data model.
Where it fits
Monitoring to incident
A webhook or event from a monitoring tool triggers a flow that opens or updates an incident record, so alerts become tracked work on the shared data model.
CRM and ERP sync
Scheduled flows keep customer, contract, and cost data aligned between Salesforce, Dynamics 365, SAP, or Oracle EBS and the ServiceCore records that reference them.
Identity-driven access
An identity event from Azure AD adjusts user records and group membership, keeping access and assignment data current without manual updates.
Outbound chat and ticketing
Flows post status updates to Slack or Microsoft Teams and push ticket changes to external systems, so downstream teams stay informed as records move.
Common questions
No. You start from a connector in the catalog, lay out the trigger, transformation, and target steps on the visual flow designer, and map fields with one-to-one, expression, or conditional rules. Field mapping previews against a sample payload before you publish, so most integrations are built and tested without writing glue code. For cases standard connectors don’t cover, a generic HTTP/REST connector handles custom endpoints.
Related modules
See Integration Platform in action.
Book a demo and we'll show integration platform working alongside the rest of the platform — on one shared data model.