Elastic AIOps investigation use case live

• Configure the approved operational investigation path using supported Elastic AIOps tools.
• Connect agreed log streams, service telemetry and baseline metrics.
• Configure log pattern grouping, rate anomaly detectors or change point analysis.
• Establish defined workflow handoffs or case integrations for Integrated variants.
• Test the complete investigation flow against an agreed incident or degradation scenario.
• Document triage steps and complete operational handover.

• Confirm that ready and trusted telemetry exists for the target system.
• Formulate a clear operational investigation question (such as diagnosing latency spikes or error surges).
• Designate system and service owners to guide scenario setup.
• Provide historical incident data or cooperate in executing a simulated triage scenario.
• Maintain appropriate Elastic licence entitlements supporting AIOps.
• Participate in triage verification and provide formal sign-off.

The operational question, required telemetry and expected investigation result must be explicit before activation. Integrated requires Delivery approval and supported integration paths.

• Remediating broken or incomplete underlying telemetry pipelines.
• Broad, enterprise-wide observability architecture redesigns.
• Implementing multiple unrelated operational investigation workflows in one request.
• Custom machine learning or proprietary AI algorithm development.
• Continuous operational incident response or active on-call support.
• Contractual guarantees of automated root-cause identification accuracy.

• 1. Qualify investigation scenario: Clarify the triage bottleneck, operational question and telemetry inputs.
• 2. Configure evidence and workflow: Set up AIOps analysis features (log categorisation, change points or rate analysis).
• 3. Test scenario: Execute a simulated triage workflow using historical or representative test data.
• 4. Verify surfaced evidence and handoff: Confirm that relevant diagnostic evidence is surfaced and routed cleanly.
• 5. Complete: Export configuration settings, document triage runbooks and close handover.

The agreed scenario can be investigated through the configured workflow, expected evidence is surfaced, the workflow or handoff works and the customer accepts the result. Evidence delivered at sign-off includes:

• Configured AIOps investigation path documentation.
• Recorded evidence set and categorised pattern definitions.
• Test execution logs demonstrating diagnostic findings.
• Workflow and notification handoff verification records.
• Documented exceptions (if any) and formal customer acceptance.

This deliverable is available only to customers with Elastic Specialist Advisory. Once the Service Advisor and, where required, Delivery have qualified the Service Request, the applicable credits are allocated from the customer's available credit pool. Delivery credits represent the defined result, not consulting hours.

If discovery reveals that ingested logs lack consistent structure for categorisation, telemetry volume is insufficient or the problem requires cross-platform engineering, Observata pauses the affected work. The Service Advisor and Delivery then requalify the request to another option, another deliverable or a larger governed engagement before additional scope is performed or additional credits are consumed.

• 1. Identify the repetitive incident triage bottleneck with your advisor in your working session.
• 2. Your Service Advisor verifies data readiness and qualifies Standard or Integrated tier.
• 3. The Service Request is activated, locking the investigation boundary and credit value upfront.
• 4. Delivery configures the AIOps features, proves evidence discovery in a test run and delivers the workflow.

• Service family: HYPR Serve
• Outcome ID: EO-AIOP
• Specification Version: 1.3
• Effective Date: 23 September 2026

Governing scope: Observata legal centre