Where Migration Risk Accumulates
MRI-to-Yardi migrations fail at the data layer more often than the technical layer. GL account crosswalks get mismatched; orphaned lease records from portfolio acquisitions slip through validation; cutover checklist items are tracked in email threads that no one owns end-to-end. Post-go-live data errors are expensive — they require remediation sprints, generate auditor questions, and erode trust in the new system before it has a chance to prove its value.
What the Agent Does Across the Migration Workflow
An agent mines your legacy MRI data-mapping conversation threads and Yardi Voyager cutover-checklist emails, then runs continuously against each data-load batch. It validates GL account crosswalks for mapping accuracy, flags orphaned lease records before they're loaded into the new system, and auto-generates data-reconciliation exception reports that your team can act on immediately. Your VP of Technology approves each data-load batch before cutover proceeds — the agent surfaces the exceptions and confirms the clean records.
The Business Case: Avoiding Post-Go-Live Remediation
Migration overruns and post-go-live data corrections are expensive — not just in vendor time, but in internal hours, delayed financial closes, and the credibility cost of a system that doesn't work as advertised. Reducing post-go-live data errors by 70% means fewer remediation sprints and a cleaner first-close in the new system. Teams in comparable deployments have compressed the data-validation portion of migration timelines by 55–75%, and the agent is typically live and processing migration batches in about 10 weeks. The faster you close the data integrity gap, the sooner the new platform delivers its intended return.
Can the agent handle complex portfolio structures with multiple entity types?
Yes. The agent is built around your specific GL crosswalk logic and lease record structures, so it handles the complexity of your actual portfolio rather than a generic mapping template.
What happens when the agent flags an exception?
The agent auto-generates a reconciliation exception report with the specific record, the detected mismatch, and the relevant source data. Your team reviews and resolves before the batch is approved for cutover.
Does the agent work with both the MRI legacy environment and Yardi simultaneously?
Yes — the agent operates across both environments, comparing source data against target system requirements and flagging discrepancies at the field level throughout the migration process.