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Changefy Research — State of Governed AI Operations 2026Read it
Changefy

SOLUTIONS

SRE

Move from alert to verified resolution faster.

Changefy helps SRE teams investigate incidents, understand root cause, plan remediation, and safely execute operational changes across production environments.

Incident investigation

  • Investigate production incidents
  • Correlate logs, metrics, infrastructure, and deployments
  • Identify likely root causes
  • Determine affected systems
  • Calculate potential blast radius
  • Identify recent environmental changes
  • Compare healthy and unhealthy services
  • Investigate cascading failures
  • Build incident timelines
  • Identify dependencies involved in an outage

Alert investigation

  • Investigate monitoring alerts
  • Determine whether alerts require action
  • Collect supporting evidence
  • Identify affected dependencies
  • Recommend remediation
  • Build an executable response plan
  • Distinguish symptoms from root causes
  • Validate whether an alert has recovered

Production remediation

  • Restart unhealthy workloads
  • Scale services
  • Replace unhealthy instances
  • Restore configuration
  • Correct infrastructure settings
  • Repair connectivity
  • Restore failed integrations
  • Roll back problematic changes
  • Perform approved production remediation
  • Verify service recovery after execution

Reliability engineering

  • Identify recurring incidents
  • Detect reliability weaknesses
  • Recommend resilience improvements
  • Investigate capacity constraints
  • Analyze service dependencies
  • Detect configuration drift
  • Validate redundancy
  • Verify failover configuration
  • Identify single points of failure
  • Recommend reliability improvements based on operational evidence

Deployment troubleshooting

  • Investigate failed releases
  • Compare pre-deployment and post-deployment state
  • Determine whether a deployment caused an incident
  • Roll back approved releases
  • Repair configuration introduced by a deployment
  • Validate service health after remediation
  • Correlate code changes with operational failures
  • Investigate environment-specific deployment problems

SLO and service health

  • Investigate SLO degradation
  • Diagnose latency increases
  • Investigate elevated error rates
  • Analyze availability problems
  • Identify resource bottlenecks
  • Verify recovery after remediation
  • Investigate saturation and capacity issues
  • Determine which dependencies are affecting service health

Runbook automation

  • Execute existing operational runbooks
  • Turn procedures into controlled workflows
  • Select remediation based on investigation findings
  • Request approval before sensitive actions
  • Verify runbook outcomes
  • Capture execution evidence
  • Stop execution when conditions deviate from the approved plan
  • Escalate when automated remediation cannot safely continue

EXAMPLE REQUESTS

  • Why has checkout latency doubled over the last 30 minutes?
  • Investigate this Kubernetes alert and fix it if the remediation is within policy.
  • Find out whether the latest deployment caused the increase in 500 errors.
  • Roll out this quarter's OS patching cycle across dev and production, staged and capacity-aware, and confirm nothing regresses.

ONE OPERATING MODEL ACROSS EVERY SOLUTION

Every solution runs on the same governed loop.

  1. InvestigateChangefy connects to the systems involved and gathers the information required to understand the request or incident.
  2. DiagnoseIt correlates infrastructure state, telemetry, configuration, and recent changes to determine the likely root cause.
  3. PlanChangefy produces a clear execution plan: actions, affected resources, risk, blast radius, dependencies, rollback, maintenance requirements, and verification checks.
  4. ReviewHumans remain in control. Teams can approve, request changes, reject, require peer review, restrict execution scope, or enforce organizational policy.
  5. ExecuteOnce authorized, Changefy performs the approved actions using connected systems and controlled execution runners.
  6. VerifyChangefy checks whether the requested outcome actually occurred. It does not assume success because an API returned 200.
  7. AuditEvery investigation, plan, approval, action, and verification result is retained as evidence.

AI proposes. Humans authorize.
Changefy executes. The system proves the result.