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guide

Map AI SRE products to the incident workflow

A guide to separating detection, triage, investigation, remediation, coordination, and learning claims.

By Pavan Gudiwada · Updated 2026-07-10

AI incident-response products often use the same words for different jobs. “Resolve incidents” might mean detecting an anomaly, assembling evidence, suggesting a runbook, coordinating responders, or executing a change. Map a product to the work it demonstrably performs before comparing it.

This guide uses six stages:

Detect → triage → investigate → remediate → coordinate → learn

The stages are a comparison tool, not a claim that every organization follows a linear process. Real incidents loop: a failed remediation can create new evidence, coordination can change investigation priorities, and learning can improve future detection.

The workflow map

StageQuestionTypical inputsUseful outputEvidence to request
DetectIs something important wrong?SLOs, alerts, events, changes, telemetryA signal tied to user or service impactDetection rule, time window, affected service, confidence limits
TriageWhat deserves attention now?Alerts, topology, ownership, severity policyPriority, owner, deduplication, initial scopeCorrelation basis, suppressed signals, routing decision
InvestigateWhat happened and what supports that hypothesis?Logs, metrics, traces, changes, tickets, runbooksTimeline, hypotheses, cited evidence, remaining unknownsQueries, source links, timestamps, failed checks, alternative hypotheses
RemediateWhat should change, and under what approval?Investigation evidence, runbooks, change policyRecommendation or bounded action with verification and rollbackExact target, diff or command, approver, result, rollback state
CoordinateWho needs to act or know?Severity, ownership, incident roles, stakeholder policyRoles, handoffs, updates, escalation, status communicationActor, channel, audience, approval, delivery status
LearnWhat should improve after recovery?Timeline, actions, impact, contributing conditionsPost-incident record, follow-ups, detection or runbook improvementsSource timeline, decision record, owners, due dates, completion state

Map capabilities at the verb level

Avoid assigning a whole stage based on a broad marketing phrase. Record the narrow verb and its object:

  • “Reads logs from selected indexes” is more testable than “understands your stack.”
  • “Groups alerts using service topology” is more testable than “reduces noise.”
  • “Suggests a Kubernetes rollback for approval” is different from “executes a rollback.”
  • “Drafts a status update” is different from “publishes to customers.”

For each verb, record four properties:

  1. Input: what systems and data it can use.
  2. Output: what the operator actually receives.
  3. Authority: read, recommend, approve, or execute.
  4. Evidence: how a reviewer can verify the result.

Separate investigation from explanation

A summary can be useful without being an investigation. Mark these separately:

  • Retrieval: fetches existing telemetry or documents.
  • Synthesis: organizes retrieved material into a timeline or summary.
  • Hypothesis: proposes a possible cause or next check.
  • Verification: runs a check that can support or reject a hypothesis.
  • Decision: selects a response based on evidence and policy.
  • Action: changes a production system or workflow.

A product may perform several of these, but a generated explanation alone should not be counted as verified root-cause analysis.

Build a coverage worksheet

Use one row per tested capability:

StageCapabilityProduct or moduleInputOutputAuthorityEvidence stateLast reviewed
InvestigateQuery logs for a named service and time rangeVendor claim / primary source / observed / unknown

Use these evidence states consistently:

  • Vendor claim: the company describes the capability.
  • Primary source: official documentation specifies how it works.
  • Watchlist observed: the behavior was directly tested with the method and date disclosed.
  • Practitioner observed: an attributed practitioner describes their experience and approved the wording.
  • Unknown: available evidence does not answer the question.

Never convert “unknown” to “no,” and never convert an integration logo into proof that a specific workflow works.

Identify the handoffs

Most incident risk sits between stages. Review these transitions explicitly:

  • Detect → triage: Can the responder see why signals were grouped or suppressed?
  • Triage → investigate: Does the investigation inherit the correct service, time window, and severity context?
  • Investigate → remediate: Is the recommendation tied to evidence, change policy, and current system state?
  • Remediate → coordinate: Are responders told what changed, by whom, and whether it worked?
  • Coordinate → learn: Does the final record preserve decisions and evidence rather than only a chat summary?
  • Learn → detect: Do approved follow-ups reach alerting, runbooks, ownership, or architecture backlogs?

Use the map in an evaluation

  1. Choose the two or three stages causing the most practitioner pain.
  2. Name the exact capability needed at each stage.
  3. Identify the systems and permissions required.
  4. Gather primary-source evidence before granting access.
  5. Replay representative incidents and observe the capability.
  6. Record gaps, unsafe behavior, and operator corrections.
  7. Compare products only on the stages and verbs actually tested.

The map prevents a directory from rewarding feature breadth over useful, controlled behavior. A product that does one stage well may be a better pilot than a platform that claims the entire lifecycle but cannot show inspectable evidence.

Further reading

  • Google SRE Incident Management Guide
  • Google SRE: Anatomy of an Incident

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