Remediation Workflow

Remediation workflows are initiated by intent drift detection within the assurance loop. When streaming telemetry indicates a deviation from a defined Service-Level Objective (SLO)—such as latency exceeding a 10ms threshold—the assurance engine publishes an event that activates the corresponding corrective workflow. Triggers can be threshold-based, anomaly-driven via machine learning models, or predictive, using time-series forecasting to preempt violations before they impact users.

Workflows consist of ordered, atomic steps designed for idempotent execution—reapplying the same corrective action multiple times produces the same result without side effects. A typical sequence for a congested cell might include:

• Step 1: Validate current network state against the intent model
• Step 2: Adjust antenna tilt via the O-RAN Non-Real-Time RIC
• Step 3: Reallocate Physical Resource Blocks (PRBs) to affected slices
• Step 4: Verify SLO restoration and log the action for audit Each step includes a rollback handler to revert changes if subsequent steps fail.

Before executing a corrective action, the workflow engine must verify that the proposed change does not violate other active intents. For example, rerouting traffic from a congested slice to a backup path might breach a security intent requiring data sovereignty within a specific geographic zone. Intent conflict resolution algorithms use priority-based arbitration—assigning criticality scores to each intent—to determine whether to proceed, modify the action, or escalate for human approval.

Remediation is not a fire-and-forget operation. After executing a corrective action, the workflow enters a verification phase that consumes real-time telemetry to confirm the desired state has been restored. This closed-loop feedback typically operates on a sub-second cadence for latency-sensitive RAN functions. If the initial action fails to resolve the violation, the workflow escalates through a pre-defined hierarchy of progressively more aggressive measures—from parameter tuning to full component restart—until compliance is achieved.

Every remediation action is logged immutably with a complete audit trail that captures:

• The triggering telemetry event and the specific SLO violated
• The intent translation logic that selected the corrective action
• The before-and-after network state snapshots
• A human-readable explanation of why the action was taken This explainability is critical for regulatory compliance and post-mortem analysis, ensuring network operators can trace every autonomous decision back to a declared business intent.

In AI-enhanced RAN environments, remediation workflows execute through standardized O-RAN interfaces. The Non-Real-Time RIC (Non-RT RIC) hosts workflows for policy-guided optimization with execution loops greater than one second, while the Near-Real-Time RIC (Near-RT RIC) executes micro-remediation actions—such as per-UE handover adjustments—within sub-10ms latency budgets. This hierarchical architecture ensures that time-critical radio resource corrections are not bottlenecked by slower, centralized intent engines.