Assess & design
Identify the systems, data, process owners, frequency and business outcome the integration needs to support.
Connect ERP with the systems your business already uses so data, workflows and decisions can move through a more connected operating environment.
Systems, data flows, validations and ownership aligned before handover.
A reliable integration starts with clear data ownership, mapping, validation and monitoring around the business process it supports.
Identify the systems, data, process owners, frequency and business outcome the integration needs to support.
Define source-to-target fields, transformation rules, timing and exception handling before building the connection.
Build the agreed integration and test data movement, business rules and expected outputs across both systems.
Document ownership, monitoring and exception handling so the integration remains supportable after launch.
A reliable integration needs clear ownership, field mapping, validation, exception handling and monitoring around the business process it supports.
Identify the applications, data, owners, frequency and business events involved in the integration.
Define how fields, records and business events move between systems and how differences are handled.
Connect the agreed systems and test expected data flows, controls and exception scenarios.
Document ownership, monitoring, support steps and the process for resolving integration exceptions.
Each phase defines what moves, when it moves, how it is validated and who owns exceptions.
Understand the systems, business process, data and integration objective.
Define source-to-target fields, business rules and expected data flow.
Build the agreed connection using available APIs or a tailored integration approach.
Test data movement, business scenarios, exceptions and expected outputs.
Establish ownership, monitoring and support steps for the live integration.
Good integration reduces repeated entry and keeps connected processes moving without hiding ownership or data quality issues.
Define what moves between systems, when it moves and which system owns the record.
Check expected values and business outcomes before relying on the live connection.
Make failed or unusual transactions easier to identify, investigate and resolve.
Document who monitors the integration and who acts when an exception occurs.
The goal is not simply to connect two endpoints. It is to create a reliable data flow that supports the people, transactions and decisions around it.
Design integrations around the transaction or workflow the data needs to support.
Test expected records, exceptions and outcomes before the connection becomes operational.
Document ownership, monitoring and support expectations so the integration remains manageable.
Common questions about systems, APIs, data mapping, validation and ongoing ownership.
Tell us which applications need to exchange data and what process they support. We can help map the integration approach.