A successful integration needs a way to detect work that never reached its intended destination. Error alerts help, but they may not catch every missing event, manual change or partial outcome. Reconciliation compares what should exist with what actually exists. For a small business, a clear exceptions report can provide more confidence than a dashboard that only counts successful messages.
Define the pair of records that should agree
Imagine an Orange-based training business whose course orders should create enrolments in a separate learning system. The reconciliation should connect each eligible order to its expected enrolment using a stable reference. Comparing total counts alone could conceal one missing enrolment and one duplicate. Define which orders qualify, how cancellations are treated and how long normal processing may take. That last point matters: a newly created order may still be legitimately waiting in a queue, rather than representing a fault that needs immediate intervention.
Classify differences by the required action
Useful categories include missing destination record, duplicate destination record, mismatched status and unable to compare. Each category should have a clear next step. A missing enrolment might be safe to create after checking the order, while a conflicting cancellation needs review. Show enough context for the responsible person to decide without exposing irrelevant customer details. Preserve the last comparison time and the systems involved. If one provider is unavailable, say the check is incomplete rather than displaying a misleading result that suggests all records agree.
Separate correction from comparison
A report that identifies differences should not automatically overwrite data without an agreed rule. Start with reviewable exceptions and automate correction only where the desired outcome is unambiguous and repeatable. PostgreSQL explains transactions within a database, but a change spanning independent systems needs its own coordination and recovery design. Record corrections with a reference to the exception that prompted them. After correction, compare again to verify the intended outcome. If staff regularly fix the same category manually, investigate the underlying integration rule rather than allowing the report to become permanent clerical work.
Seed known differences in a test environment
Create a missing record, a duplicate and a status conflict, then confirm that the comparison identifies each correctly. Include records still within the normal processing window. Agree:
- The stable reference linking records across systems.
- Which records should be compared and after what delay.
- The owner and permitted correction for each exception category.
- How the business verifies resolution and tracks recurring causes.