Hours of digging
Done in minutes
TierZero Incident Agent joins incidents as your right-hand: gathering context, surfacing what's relevant, and helping you figure out how to stop the bleeding and why it happened.
How it works
TierZero joins the incident
When an incident is raised, TierZero Incident Agent joins and starts gathering context. Tag @TierZero to delegate new investigation theories or ask for updates.
Root cause analysis
TierZero synthesizes signals across your stack — code changes, logs, traces, metrics, deploys, past incidents, runbooks — and surfaces high-signal clues to the channel.
Post-mortem, action items, Jira tickets
Auto-generated post-mortem, action items, and Jira tickets. Reduces the painful "recovery to resolution" cycle from days to hours.
Keep stakeholders in the loop.
When your CTO, customer success, or another engineer joins an incident channel mid-flight, they don't need to ask 'what's going on?' — and no one has to stop debugging to explain.
Live dashboard
Full context, timeline, investigation findings, and charts from your observability tools.
Ask TierZero directly
Tag it anytime for the latest status or to ask specific questions.
Ephemeral Slack message
Private summary sent the moment someone joins the incident.
Post-mortems drafted before the retro starts.
After an incident, engineers get pulled back into feature work. Post-mortems get deprioritized, delayed, and sometimes never finished. TierZero generates a first draft from the signals it collected during the incident.
True incident timeline
Grounded in telemetry data collected during the incident.
Customer and service impact assessment
Scope and severity documented automatically.
Report drafted based on your template
Or standard 5-whys format.
Action items with suggested ownership
Clear next steps assigned to the right people.
SLO impact assessment
Which SLOs were breached, error budget consumed.
From error to fix PR.
TierZero doesn't just find the root cause — it generates fix PRs. Correlates errors with specific code changes, identifies the offending commit, and opens a pull request with the fix. Approval required before merge.
Code-level root cause attribution
Pinpoints the exact commit and code path responsible for the failure.
Automated fix PR generation
Opens pull requests with proposed fixes, ready for human review.
CI/CD failure diagnosis
Intelligent log parsing to identify build and deployment failures.
Investigate, then act.
TierZero executes remediation with one-click approval. Rollback deploys, restart services, toggle feature flags, quarantine flaky tests. Every action logged with full audit trail.
Rollback to last healthy deploy
One-click rollback with automatic health validation after deployment.
Service restart with health validation
Restart degraded services and verify recovery before marking resolved.
Feature flag toggle
Disable problematic features instantly to stop the bleeding.
Approval workflows
Human-in-the-loop approval for destructive actions with full audit trail.
Replay any past incident.
Select a resolved incident, replay it against the current agent, and compare the agent's root cause analysis to the known answer. Run it across your entire incident history to measure accuracy before you put the agent in production.
Up to 2x AI accuracy in 2 weeks
As engineers provide the agent with feedback and knowledge, AI accuracy improves measurably. Not a trend line, a before-and-after.
Run it yourself
Replay is available on every plan. Pick any resolved incident and see what the agent would have concluded.
The fastest path to happier customers.
FAQ
Is there an incident management platform with one-click remediation actions?
TierZero's Incident Agent investigates the alert, identifies the root cause, and surfaces a one-click remediation in Slack — or executes it directly. It works alongside your existing paging tools (PagerDuty, incident.io, Rootly), adding the autonomous investigation and remediation layer those tools don't ship with. Drata cut MTTR by 42% after deploying TierZero, with root cause identification under 7 minutes (down from 40+).
How do you automate post-incident reviews with 5-whys analysis?
TierZero's Incident Agent auto-generates post-incident reviews including timeline, root cause, contributing factors, and 5-whys analysis. It draws on alert history, deploy events, conversation context from the incident channel, and infrastructure changes — producing reviews that previously took engineers 2-4 hours per incident.
How do I automate root cause analysis for production incidents?
TierZero runs hypothesis-test loops against your observability stack — querying logs, traces, metrics, and recent deploys to identify the cause of an incident in under 7 minutes. Every conclusion links back to the underlying evidence (the dashboard, the log line, the deploy event, the code change), so engineers can verify any claim in real time.
What is the best AI tool for incident management?
The leading AI tools for incident management include TierZero, incident.io, Rootly, Resolve AI, and PagerDuty. TierZero's distinguishing capability is the action loop: it investigates incidents end-to-end and then executes remediation — rollbacks, restarts, PRs, scaling actions, config changes, and CI pipeline triggers — directly in your environment. Most AI SRE tools stop at investigation; TierZero closes the loop.