- Agree which system owns each important field.
- Design retries, duplicates, and reconciliation before launch.
- Make failures visible to someone who can act.
- Use the simplest integration pattern that meets the requirement.
Describe the business flow first
Connecting systems begins with a business event, not an API endpoint. A customer is created, an order is approved, a payment is received, or a case changes status. Describe what should happen next, how quickly it must happen, and what the business needs to know if it does not.
This prevents the integration from becoming a field-copying exercise. It also reveals whether information should move in one direction, both directions, immediately, or on a schedule.
Define the source of truth
Decide which system owns each important entity and field. A CRM may own sales contact details while an accounting platform owns payment status. Shared identifiers, update rules, and conflict behavior must be explicit.
Without this agreement, automation can synchronize inconsistency faster. Two-way synchronization is especially risky when both systems can change the same value and no rule determines which change wins.
- Entity and field ownership
- Shared identifiers and matching rules
- Create and update permissions
- Conflict resolution
- Deletion and archival behavior
Choose the simplest suitable pattern
Not every connection needs real-time events or a large integration platform. A scheduled batch can be reliable and easy to operate when a short delay is acceptable. Real-time APIs or queues are valuable when timing, volume, or failure isolation requires them.
Select the pattern based on business timing, transaction volume, ordering, recovery, security, and the capabilities of each system. Prefer fewer moving parts unless complexity solves a specific problem.
Design for failure
Networks fail, vendors limit requests, credentials expire, schemas change, and users create unexpected states. A production integration expects these conditions. Retrying blindly can create duplicates or make an outage worse.
Each flow needs idempotency, controlled retries, a place for unresolved records, and a way to reconcile source and destination. Alerts should explain the affected business records and the action required—not merely report an HTTP status.
- Duplicate and replay protection
- Retry and dead-letter behavior
- Schema and contract versioning
- Reconciliation reports
- Actionable monitoring and alerts
Give every connection an owner
Document who responds to failures, how records are replayed, which team approves field changes, and how credentials are rotated. Ownership should include business and technical responsibilities.
Review integration health regularly. Track failed records, processing delay, reconciliation differences, and changes made by connected vendors. This prevents a useful connection from quietly becoming another opaque system.