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An API gives applications a way to communicate, but the integration still needs a clear operational contract. Define which action triggers the exchange, what the receiving system should do and how people will know whether it succeeded. Plan the exceptions alongside the successful path so the connection can be supported after launch.
Describe one complete business handoff
Start with a specific event and an expected result. For example, an approved internal request might need to create a corresponding record in another system. Identify the approval point, the information required and the point at which the handoff is considered complete. Keep hypothetical examples separate from the actual workflow being commissioned.
List the people affected by a delayed or rejected exchange. Decide whether the originating process should wait, continue with a pending state or offer an alternative. This decision determines what users need to see and which failures require prompt attention.
Verify access and provider constraints early
Obtain the current documentation and a suitable test environment. Confirm the operations available to your account, the authentication approach, permissions and any usage limits. Name a technical contact who can clarify behaviour that is not documented. Record the provider version and assumptions used in the estimate.
Exercise a small authorised request before committing to the full build. Use controlled data and confirm both successful and rejected responses. Arrange credentials through the organisation's approved secret-management process; do not place them in the project brief, screenshots or support tickets.
Specify identifiers and data meaning
Map each required field with its meaning, format, source and destination. Clarify time zones, units, optional values and the difference between an empty value and a request to remove information. Decide which system owns corrections and how existing records will be matched.
Keep business validation separate from simple format checks. A record can be structurally valid while referring to an inactive account or an impossible workflow state. Define what the integration should reject, what it may transform and what needs a person's decision.
Design retries and reconciliation deliberately
Consider a request whose response is lost after the receiving system has acted. Before retrying a mutation, establish how the integration can determine whether the action already happened. Review the provider's documented duplicate-prevention or lookup mechanisms and test the chosen recovery path.
Separate temporary failures from records that require correction. Define retry limits, escalation and a visible place for unresolved work. Plan reconciliation that can detect missing or inconsistent records rather than relying only on the absence of error messages. Give someone responsibility for resolving the exceptions.
Build acceptance around realistic failure cases
Include expired access, invalid records, unavailable services and repeated delivery in the test plan. Where ordering matters, test delayed and out-of-order changes. Verify that logs and alerts provide enough context to diagnose a failure without exposing credentials or unnecessary personal information.
Record which checks use mocks, a provider test environment or the intended live configuration. Each establishes different evidence. Agree a controlled live verification boundary and recipients before exercising side effects, then reconcile the actual records created or changed.
Assign ownership beyond the first release
Document who owns access renewal, provider changes, monitoring and unresolved records. Decide how a schema or business-rule change reaches the integration team. Include a support procedure for pausing the flow safely and recovering any accumulated work.
Finish the brief with the event, data contract, acceptance cases, dependencies and operating responsibilities. Identify the remaining uncertainties and the evidence needed to resolve them. A useful integration plan explains how the handoff keeps working when the surrounding systems change.
A sample integration brief with acceptance cases
For a fictional approved-order exchange, record: trigger = authorised approval; source = order portal; destination = fulfilment service; stable reference = originating order ID; required fields = customer reference, item code, quantity and requested date. Name the source owner for each field. Specify whether dates mean a local delivery day or an instant; those are different contracts.
Acceptance cases: a valid order is accepted once and its destination reference is retained; an unknown customer is rejected for correction; an expired credential pauses processing and reaches the owner; a lost response is reconciled by reference before any retry; a cancellation after fulfilment begins is escalated under the business rule. GDS API standards provide a reference for interface design, but actual provider behaviour must be checked in its current documentation and account.
Dependencies: provider test access, documented limits and error responses, an authorised technical account and an operations reviewer. Operating owners: integration team for delivery faults, source owner for invalid fields and fulfilment owner for rejected business states. Decide where unresolved work is visible and how it is cleared. Include this brief with the estimate so “API integration” cannot silently mean only a successful sample request.
How this relates to Veda Software’s work
Powerleague provides a published venue-to-fulfilment process relevant to the brief’s business boundary. It does not identify a CRM/ERP provider or prove the fictional API acceptance cases.