ERP Module Integration Requirements Checklist

When multiple teams independently develop modules for an enterprise resource planning system, integration failures frequently arise due to conflicting assumptions about data ownership, state transitions, and event ordering. To prevent these issues, it is crucial to establish a written interface contract and a data ownership table before any coding begins. This shared specification should define the event schema, the authoritative source of truth, and the behavior to follow in case of failures.

Integration problems often stem from informal agreements between teams rather than explicit specifications. Engineers may assume that certain events will arrive in a specific order or that certain identifiers will remain unchanged. These assumptions can lead to mismatched records when different teams implement varying validation rules or duplicate message handling.

To identify these hidden dependencies early, product managers and software engineers should conduct a structured requirements workshop. This workshop should involve module owners, data engineers, and product managers to trace a single business entity through its entire lifecycle across all touchpoints. Common hidden assumptions include data ownership, event ordering, retry behavior, and authorization.

Once these assumptions are identified, the engineering team should create a visual dependency map and a tabular data ownership matrix. This artifact assigns explicit responsibility for each data attribute to a single module, preventing ambiguity and conflicting logic in the services.

When designing failure handling across these boundaries, teams should consider patterns for managing distributed transactions, such as the Microsoft compensating transaction pattern, especially when direct rollbacks are not feasible. Defining interface contracts and state transitions is also essential. For asynchronous event-driven architectures, consumer-driven contract testing tools can verify that message producers do not break downstream expectations.

Every cross-module transaction should define the payload schema, state machine, and idempotency key to ensure consistent processing and avoid side effects.

Detailed acceptance criteria should replace vague statements with explicit behavioral checks. For example, when an inventory-to-invoicing handoff occurs, the criteria should specify that the invoice service creates one invoice per valid event identifier, does not create duplicates, handles retries appropriately, and records audit events for unauthorized access attempts. These criteria provide clear targets for both automated integration tests and manual verification.