This record is generated by AI from the cited source. How AI is used
TA
Workflow data retention policy
GA since 25 Sep 2026
Treasure Workflow publishes a data retention policy: execution history is kept 2 years, and each project keeps its latest 100 revisions plus any used within 2 years.
- Platform
- Treasure AI
- Capability
- Data retention & lifecycle · Governance
- Vendor's name
- Workflow Data Retention Policy
- First recorded
- Record last updated
Record dates describe acquisition and updates, not human review. About corrections.
Lifecycle history 1 state
- GA25 Sep 2026First recorded 27 Sep 2026 · recorded from the source history · vendor release notes · docs.treasure.ai ↗ · archived copy, 4 Oct 2026 ↗
Something wrong or out of date in this record? , ideally with a link to better evidence. How corrections work
Data retention & lifecycle on other platforms latest first
- Adobe AEPManual deletion of exported files in Data Landing ZoneGA27 Oct 2026
- SFMC NextAmazon S3 as an email archiving storage destinationRetiredweek of 7 Sep 2026
- SFMC NextHigh-volume email archiving to own cloud storageGASep 2026
- SFMC NextCompliance BCC email archivingGASep 2026
- HubSpotRestore from property historyGASep 2026
- HubSpotAccount Cleanup for unused marketing emailsGASep 2026
- HubSpotDuplicate management exports in audit logGAAug 2026
- HubSpotAccount Cleanup for website and landing pagesGAJul 2026
- BrazeUser deletionGA25 Jun 2026
- HubSpotAccount cleanup automation for orders, products and custom objectsGAJun 2026
All Data retention & lifecycle changes →
More from Treasure AI in Data retention & lifecycle
- Delete all Real-Time profile dataPreviewOct 2026
- Row-based data retention for Salesforce Marketing Cloud exportGA21 May 2026
- Configurable chat data retention for AI Agent FoundryGAJan 2026