• Phase 3: AI-augmented asset management complete
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    admin released this 2026-04-20 00:27:11 +00:00 | 528 commits to main since this release

    50 tasks shipped:

    • fusion.asset.engine 7-method API (compute_schedule, post_depreciation,
      dispose, partial_sale, pause, resume, reverse_disposal)
    • 3 depreciation methods (straight-line, declining-balance, units-of-production)
    • 6 persisted models (asset, depreciation_line, category, disposal,
      anomaly, MV) + engine AbstractModel
    • AI: anomaly detection + LLM-suggested useful life with templated fallback
    • 8 JSON-RPC endpoints + reactive frontend service
    • 6 OWL components + SCSS + dark mode
    • 4 wizards (creation, disposal, partial sale, depreciation run)
    • Migration wizard backfill from account.asset (verified live: 2 records)
    • Audit PDF report
    • Coexistence with Enterprise account_asset
    • 141 logical tests passing, 0 failures, 0 errors
    • All P95 perf metrics within 1x of budget:
      compute_schedule(10yr SL): 1ms (target 500ms)
      post_depreciation_entry: <1ms (target 300ms)
      dispose_asset: 5ms (target 300ms)
      controller.list: 38ms (target 300ms)
      controller.get_detail: 39ms (target 500ms)
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