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ONE3.ai

Edge, IoT & Compute · Workflow

Offline capture and replay

Work done offline is queued as Actions and replayed on reconnect with permission, policy and DoA checked again.

Step by step

Each step is a governed Action: it is permission-checked, logged, and either reversible or compensated.

  1. 1

    The user acts offline; the app validates against a cached policy snapshot

  2. 2

    The write is queued as an Action with idempotency key, clock and dependencies

  3. 3

    On reconnect the queue uploads in dependency order

  4. 4

    The Action Bus re-checks entitlement, permission, policy and DoA

  5. 5

    Rejected Actions return with a reason and are kept for review

  6. 6

    Conflicts with newer server changes apply the declared rule or go to the review queue

  7. 7

    Committed changes emit events and downstream changes sync back to the client

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