Connecting two business tools is not only a question of whether both have an API. A useful integration needs agreement about what information moves, which system owns it, and what happens when an update fails. Mapping these decisions before development helps avoid a connection that transfers data successfully but creates confusion for the people using it.
Choose the operational problem first
Describe the repeated work or missing information the integration should address. For example, a team may copy accepted enquiries from a website inbox into a customer system and then assign an owner manually. Map the current sequence, the people involved, and the cost of a missed handover. This makes it easier to decide which connection is valuable and which additions can wait.
Agree a source of truth for each field
Identify which system owns customer details, order status, pricing, or other relevant information. A record may contain fields owned by different systems. Decide where changes are permitted and what should happen when two updates conflict. Without these rules, a technically successful synchronisation can overwrite information that someone deliberately corrected.
Define identifiers and update timing
Determine how the same real-world record is recognised across tools. Names and email addresses can change, so discuss stable identifiers and duplicate handling with the implementation team. Agree whether information needs to move immediately, on a schedule, or after a review step. The required timing should follow the workflow rather than an assumption that every integration must be real time.
Plan for partial failure
A destination may be unavailable, reject a field, or receive the same update more than once. Define how the integration records progress, retries safely, and brings unresolved problems to an owner. Test with missing and invalid information as well as a clean example. A visible exception queue can be more useful operationally than a silent process that appears to work until someone discovers a missing record.
- Record the owner of each system and data field.
- Define matching, duplicates, and conflicting updates.
- Agree timing and expected volumes.
- Test failed and repeated deliveries.
- Assign support and credential-management responsibilities.
Introduce the connection in a controlled scope
Start with a manageable data flow and compare source and destination records before broadening use. Document any transformation applied to the information. Explain to users which system they should edit and how to report an exception. Include monitoring and ongoing ownership in the handover so the integration remains understandable when tools or teams change.
A useful integration brief explains the workflow, data ownership, matching rules, timing, and recovery process. The technical connection follows those decisions.
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