Migration validation AI
Three-way source check for migrated maintenance tracking data
This review checks whether a maintenance-system migration preserved the status the records actually support. EE compares old-system exports, new-system entries, source task records, AD and SB status, component life data, utilization, and due lists. AI assists line matching across exports; specialists review the exceptions. The output is a migration discrepancy register with corrected values and evidence links.
When this review is needed
- The file arrives with a deadline tied to Tracking platform migration / management takeover.
- Several record classes need to be checked together.
- Source documents are present but the index is not trusted.
- The team needs findings ranked by decision impact.
The problem
Migration errors are easy to miss because both systems can produce a clean report. The problem appears when a due item, last-done date, cycle count, threshold, or component status no longer matches the source record.
What gets reviewed
- Read legacy export using the source file and note the evidence path.
- Compare new system's state using the source file and note the evidence path.
- Locate underlying source records compared three ways using the source file and note the evidence path.
- Challenge AI assistance on critical fields: times using the source file and note the evidence path.
- Summarize LLP status using the source file and note the evidence path.
Scope this review
Tell us the asset, the event, and the evidence in scope, and we will outline a focused first engagement.
Send a representative, redacted record set and we will scope the review.
What gets validated
- A source link must exist for legacy export; absence creates a finding.
- Reviewer notes must explain why an AI flag was closed.
- Conflicting dates, serials, or references stay open until the source hierarchy is clear.
- The maintenance system migration validation scope must include the records that drive the current decision.
Evidence normally required
- Legacy export
- New system's state
- Underlying source records compared three ways
- AI assistance on critical fields: times
- LLP status
Common discrepancies
- Silently dropped or mis-mapped fields generating a wrong due list that operates the aircraft.
- Discovered at an audit or an event rather than at cutover.
- The issue appears only after the acceptance point.
What is at stake
Bad migrated data can drive wrong maintenance planning, unsupported due status, audit findings, and records disputes. Correcting it after the new system is live is harder because teams begin using the wrong baseline.
How the work runs
Set migration scope
Define assets, task groups, component status, utilization fields, and cutover date.
Compare system data
Match old export rows, new-system entries, and source records for decision-critical fields.
Review exceptions
Classify mapping errors, calculation differences, missing source, and intentional corrections.
Package corrections
Deliver the discrepancy register with corrected values, evidence links, and owner actions.
What the buyer receives
- maintenance system migration validation discrepancy register
- source-linked evidence map
- risk-ranked closure plan
- missing-record request list
Who uses the output
- CAMO manager use the register to decide which exceptions affect the event.
- maintenance systems administrator use the evidence map to request or close source records.
- airlines leaders use the summary to brief the next approval, release, or deal meeting.
How the work fits into the transaction or program
This belongs before cutover, after test migration, or during post-cutover validation. It does not approve the maintenance program or operate the system. It gives the operator a source-backed migration exception list before wrong data becomes normal operating data.
Start with a single asset
Reconcile maintenance tracking against the underlying records.
Regulatory limits
The output is not a maintenance release, conformity statement, or regulatory approval. Responsible operators, owners, CAMOs, designees, and authorities keep those decisions.
What this review does not cover
- Regulatory approval activity
- Vendor procurement
- Legal drafting
- Physical conformity inspection
Specific to this review
- The review compares three points: old system, new system, and source record.
- Due dates and life values are recomputed only where source evidence supports the calculation.
- AI helps match rows that changed names, codes, or formats across systems.
- Specialists decide whether a difference is a migration error or an approved data correction.
- The output supports cutover readiness and post-migration remediation.
Sources
Federal Aviation Administration. FAA acceptance criteria for electronic recordkeeping systems and electronic signatures.
European Union / EASA. Continuing airworthiness, maintenance records, CAMO responsibilities, and the airworthiness review process in the EASA system.
U.S. Government (eCFR). Records an owner or operator must keep, including total time in service, current status of life-limited parts, and AD compliance.
Frequently asked questions
Does this validate the software implementation?
No. It validates records and status data after migration. System implementation and configuration are separate workstreams.
Relevant glossary terms
Related pages
Where this fits
Talk to an engineer who has done this work
We will walk through your current state, the records or evidence involved, and a scoped first engagement.
Talk through the aircraft, records, evidence, deadline, and next useful step.