Customer name withheld · 2025 work · 2026 administrative closure
Taking JDE data-validation automation through testing and closure
An anonymous delivery example follows a JDE data-validation batch from development through unit testing, demo coordination and recorded completion.
Customer name withheld. This example describes the work and results recorded for one engagement.
Validation needed to become part of the integration work
An anonymous customer’s integration work included a requirement to compare source API data with its JD Edwards import. The work tracker identifies validation of totals, orders, sales tax and quantities as a later-phase requirement. The business aim was a repeatable way to check the import, with exceptions visible to the people responsible for the process. The customer’s reconciliation requirements defined what the automation needed to do. The records do not provide a baseline for manual checking time or an error-rate comparison.
Connect the requirement to a specific delivery item
The later tracker links a named data-validation automation work item to the integration’s second phase. ConnectWise provides the underlying execution trail. Development notes describe work on a JDE data-validation UBE—a batch program—across multiple entries. This connects an operating requirement to technical delivery. It is stronger evidence than treating the title of an automation project as proof that the work was finished.
Carry development into testing and review
The ticket then records that the work was under unit testing. Management notes show demo scheduling, rescheduling and follow-up with the specialist. The record illustrates two complementary responsibilities: a technical specialist develops and tests the batch, while delivery coordination keeps the review moving. The available notes do not include detailed test results or an explicit customer acceptance statement, so the scheduled demonstration is not presented as proof of acceptance.
Reconcile completion dates instead of using the latest timestamp
The customer work tracker lists the item as closed and records completion in November 2025. The specialist’s ConnectWise note also states that the work is complete in November 2025. The ticket’s administrative closure occurred in July 2026. Those dates describe different events. This is a completed automation delivery documented in historical records, not a newly delivered July 2026 result.
What the record supports
The evidence supports development of the validation batch, a unit-testing stage, coordinated review activity, a specialist completion note and recorded closure. It does not establish an annual saving, a measured reduction in errors or the removal of every manual approval from the import process. Those operating benefits require observations after deployment. The story demonstrates the delivery trail without turning the word “automation” into an unsupported return-on-investment claim.
Make the next automation decision concrete
For a similar process, begin with what must reconcile, the exceptions that matter, who can approve the result and how the team will measure effort and quality. Allari can bring business analysis and technical delivery together around those questions, with a Client Solutions Manager coordinating the agreed work and budget. Customer-owned procedures and clear controls also create a useful foundation for later AI-assisted work. The appropriate next step is a review of your actual validation workflow and the evidence needed to justify a change.
Put the delivery organization behind your team
Review a manual validation process with Allari.
Bring the symptom, business consequence and current workaround. Together, we’ll review your priorities, process and budget, define the work and agree how your team will validate the result.
