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Use case / 02 · iFabric

Evaluate the change. Then deploy.

Digital twin to production. Approval in between.

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Supported changes · Defined model & constraints

Validate a change before rolloutEvaluate a supported firmware, configuration or workload change against a configured digital twin and defined constraints. Review the findings before the configured change system approves and deploys it. Check fresh production telemetry afterwards. Production changes require explicit approval. Rollout and recovery use configured customer or partner tools. Model checks cover modeled conditions only. Detected risk holds the change. Post-change recovery needs a separate approval, followed by fresh health checks and operator review.Digital twiniFabric · Modeled conditionsProductionExplicit approvalRecovery / Customer or partner toolspropose to simulatesimulate to reviewreview to approveapprove to deploydeploy to verifyverify to healthyreview to heldHealth issueHealth issuerecovery-approval to recoverrecover to recheckrecheck to outcomeDefine the proposed change, affected infrastructure and acceptance criteria.ProposeSupported changeEvaluate the supported change against the configured digital twin and its known constraints. Results cover the modeled conditions; they do not guarantee production behavior.SimulateModel + constraintsReview model findings and the proposed operating impact. Detected risk, incomplete evidence or an unsupported change stays on hold for review.ReviewEvaluate findingsThe configured change system requires an explicit deployment approval. Passing model checks alone does not authorize production access.ApproveChange authorityHand the approved change to the configured customer or partner deployment tools. Supported staging and rollout behavior depends on those integrations.DeployConfigured toolingCompare new production health signals with the agreed acceptance criteria. A deployment acknowledgement is not enough to confirm health.VerifyFresh telemetryA post-change issue goes to the configured recovery authority. An explicit recovery approval is required before a recovery action; the deployment approval is not reused automatically.Approve recoveryRecovery authorityInvoke the approved recovery or rollback through supported customer or partner tools. The available action depends on the integration and the reversibility of the change.Recover / roll backSupported toolingCollect fresh production health evidence after the recovery action.RecheckFresh health signalsAn operator reviews the new health evidence, confirms the outcome where criteria are met or escalates. The illustration does not promise successful restoration or silently retry a recovery.Review outcomeConfirm or escalateProduction health confirmed from fresh telemetryHealth confirmedHold the change for human review. No production change.Hold / reviewIllustrative sequence · RepeatsValidate a change before rolloutEvaluate a supported firmware, configuration or workload change against a configured digital twin and defined constraints. Review the findings before the configured change system approves and deploys it. Check fresh production telemetry afterwards. Production changes require explicit approval. Rollout and recovery use configured customer or partner tools. Model checks cover modeled conditions only. Detected risk holds the change. Post-change recovery needs a separate approval, followed by fresh health checks and operator review.Digital twiniFabric · Modeled conditionsProductionExplicit approvalRecovery / Customer or partner toolspropose to simulatesimulate to reviewreview to approveapprove to deploydeploy to verifyverify to healthyRiskRiskHealth issueHealth issuerecovery-approval to recoverrecover to recheckrecheck to outcomeDefine the proposed change, affected infrastructure and acceptance criteria.ProposeSupported changeEvaluate the supported change against the configured digital twin and its known constraints. Results cover the modeled conditions; they do not guarantee production behavior.SimulateModel + constraintsReview model findings and the proposed operating impact. Detected risk, incomplete evidence or an unsupported change stays on hold for review.ReviewEvaluate findingsThe configured change system requires an explicit deployment approval. Passing model checks alone does not authorize production access.ApproveChange authorityHand the approved change to the configured customer or partner deployment tools. Supported staging and rollout behavior depends on those integrations.DeployConfigured toolingCompare new production health signals with the agreed acceptance criteria. A deployment acknowledgement is not enough to confirm health.VerifyFresh telemetryA post-change issue goes to the configured recovery authority. An explicit recovery approval is required before a recovery action; the deployment approval is not reused automatically.Approve recoveryRecovery authorityInvoke the approved recovery or rollback through supported customer or partner tools. The available action depends on the integration and the reversibility of the change.Recover / roll backSupported toolingCollect fresh production health evidence after the recovery action.RecheckFresh health signalsAn operator reviews the new health evidence, confirms the outcome where criteria are met or escalates. The illustration does not promise successful restoration or silently retry a recovery.Review outcomeConfirm or escalateProduction health confirmed from fresh telemetryHealth confirmedHold the change for human review. No production change.Hold / reviewIllustrative sequence · Repeats

Model checks pass. Approval comes next.

Findings / healthProposed changeActionReview

Production changes require explicit approval. Rollout and recovery use configured customer or partner tools.

Checks pass within the configured model and constraints. After review and explicit approval, the change is deployed through configured tools. Fresh production telemetry meets the agreed health criteria.

Where it applies

AI Factory · Factory Grid · Edge

Supported firmware, configuration and workload changes.

Measures to define

  • Change success rate
  • Risks found before rollout
  • Rollback frequency
  • Post-change incidents
Workflow & operating boundaries

Evaluate a supported firmware, configuration or workload change against a configured digital twin and defined constraints. Review the findings before the configured change system approves and deploys it. Check fresh production telemetry afterwards.

  1. Propose. Define the proposed change, affected infrastructure and acceptance criteria.
  2. Simulate. Evaluate the supported change against the configured digital twin and its known constraints. Results cover the modeled conditions; they do not guarantee production behavior.
  3. Review. Review model findings and the proposed operating impact. Detected risk, incomplete evidence or an unsupported change stays on hold for review.
  4. Approve. The configured change system requires an explicit deployment approval. Passing model checks alone does not authorize production access.
  5. Deploy. Hand the approved change to the configured customer or partner deployment tools. Supported staging and rollout behavior depends on those integrations.
  6. Verify. Compare new production health signals with the agreed acceptance criteria. A deployment acknowledgement is not enough to confirm health.
  7. Approve recovery. A post-change issue goes to the configured recovery authority. An explicit recovery approval is required before a recovery action; the deployment approval is not reused automatically.
  8. Recover / roll back. Invoke the approved recovery or rollback through supported customer or partner tools. The available action depends on the integration and the reversibility of the change.
  9. Recheck. Collect fresh production health evidence after the recovery action.
  10. Review outcome. An operator reviews the new health evidence, confirms the outcome where criteria are met or escalates. The illustration does not promise successful restoration or silently retry a recovery.

This is an illustrative operating workflow, not a customer case study or live deployment. Scope the supported change types, model fidelity, evidence sources, approval rules and deployment integrations for each environment. If evaluation or recovery is unsupported, keep the change with the operator rather than inventing an automated route. Recovery and rollback depend on the configured tooling and the type of change. Animation timing is illustrative. Repetition restarts the illustration, not a deployment or rollback.

Exception routes

Risk detected. Model evaluation identifies risk or insufficient evidence. The change is held for review; this path never authorizes or deploys a production change.

Post-change issue. The approved deployment is followed by production health signals that fail the agreed criteria. Recovery requires its own approval, uses configured customer or partner tools and is followed by a fresh health check and an operator review. Unsupported recovery goes to review without execution.