Salesforce and Oracle NetSuite
Customer and finance workflows, approvals, reporting, APIs, and custom SuiteScript RESTlets where records need to cross system boundaries.
When one process crosses a CRM, ERP, vendor platform, data store, and custom API, the hard part is not making one request succeed. It is deciding which system owns each fact and what should happen when records arrive late, twice, out of order, or not at all.
We map the end-to-end process, define system-of-record boundaries and contracts, then build observable integration with duplicate-safe processing, bounded retries, reconciliation, replay, and recovery paths.
The CRM owns the customer identity in this example. Shared identifiers let other systems refer to it without silently becoming a competing source.
The identity directory establishes who may act. Business permissions still need enforcement at the receiving system.
External events enter through a versioned contract. The vendor may own its own facts; those boundaries must be mapped explicitly.
Validate, correlate, and record the handoff. The integration layer does not silently take ownership of every business record.
The ERP owns the resulting financial record in this example. Confirmation and reconciliation refer back to that owner.
Read the steps for a complete explanation.
Contracts, durable progress, and recovery belong in the same design. Select a step to see the decision behind it.
Validate required fields, identity, permissions, and payload versions. Invalid work is rejected or routed for correction with enough context to explain why.
Reserve a stable operation identity in durable storage. Coordinate concurrent work and downstream deduplication; a key by itself cannot prevent duplicate effects.
Persist the work and its state so a restart or deployment does not lose the handoff. Bound retry timing and attempts to the dependency and business need.
Apply the change under the agreed contract and record confirmation. An unknown response is not proof the write failed.
Compare source and destination facts. Replay missed or corrected work only after checking prior effects, ordering, and downstream replay constraints.
When retries end or a write is uncertain, retain the evidence for an operator. Confirm the destination state before retrying, compensating, or closing the exception.
Read the steps for a complete explanation.
Technology names matter only in the context of the records, approvals, and operating responsibilities they support.
Customer and finance workflows, approvals, reporting, APIs, and custom SuiteScript RESTlets where records need to cross system boundaries.
Vendor and workforce handoffs, including compliant timesheet workflow requirements, approvals, exports, reporting, billing, and downstream ERP work.
Workflow automation across Azure Logic Apps, GraphQL, REST, SOAP, vendor APIs, queues, message buses, and scheduled jobs.
Integration across Azure, AWS, Google Cloud, self-hosted, and hybrid environments, with portability considered when it improves operating fit.
This work fits when an important process depends on several platforms and people are checking, re-entering, or repairing the handoffs by hand. For data architecture and reporting flows, see Data Platforms. If the process needs a focused user interface, see Web Applications. Our Approach explains how the work moves from system map to release and handoff.