Does this replace our incident management tool?

No. Agents work inside PagerDuty, Opsgenie, incident.io or ServiceNow and your chat channels. Your process and roles stay the same.

Who is in charge during an incident?

Your incident lead. Agents investigate, propose and post updates. Every action that touches production waits for the approval your policy requires.

Can agents roll back on their own?

Only where your policy allows it. Many teams let agents roll back a release that clearly caused a regression and keep everything else behind approval.

What happens after the incident?

Agents draft the postmortem from the timeline, with root cause, actions and follow-ups. Your team edits it and owns the result.

AWS Partner

SOC 2 Reports

Frontier Resolutionfor Production Incidents

Lower MTTR through agent-led incident command and verified rollback.

When something breaks in production, agents open the incident, pull every signal and recent change into one timeline, and keep the channel updated while your team works. Responders get a root cause and a tested fix, not a wall of dashboards. Recovery is verified before the incident closes.

Book a Demo See how it works

PagerDuty incidentmitigated

SEV-1: orders failing in eu-west-1

Impact: 38% of order requests returning 503 since 10:42
Timeline: Argo CD synced inventory-svc v3.8.1 at 10:39
Root cause: New readiness probe path returns 404. Pods never ready
Action: Rolled back to v3.8.0 after on-call approval
Recovery: Error rate back to baseline for 15 minutes

Postmortem draft ready for review

[The work behind every incident]

The page arrives in seconds.The war room still takes hours.

01The manual work

Coordinate

Responders join a call, split up dashboards and post updates by hand. Half the time goes to working out what changed.

02The agent handoff

Fix tested

Frontier agents build the timeline, find the root cause, prepare a rollback or fix and keep stakeholders updated.

03Your engineers’ role

Approve

Lead the incident and make the call. Approve the fix and confirm the system has recovered.

[Where CloudThinker fits]

Your stack stays.Agents work inside it.

01Incident signal

Already paging you

Amazon CloudWatchAlarms, logs and X-Ray traces
Azure MonitorAlerts and Application Insights
Google Cloud MonitoringAlerting policies and uptime checks
DatadogMonitors, APM and logs
SentryErrors and release health

No change to your alerts

02Incident tooling

Your system of record

PagerDutyIncidents and escalation policy
incident.ioIncident roles and timeline
ServiceNowMajor incident records
Argo CDRollout history and rollback
GitHub and GitLabReleases, diffs and pipelines

Source of truth stays put

03Incident command

CloudThinker

Take commandOpen the channel, set severity, pull the right people
Find the causeThe release, config or dependency behind it
Propose recoveryRollback or fix, reversible, with evidence
VerifyWatch recovery hold before closing

Every step on the record

04Response

Recovered, then written up

SlackLive updates in the incident channel
Microsoft TeamsStakeholder updates on a schedule
JiraFollow-up actions with owners
PagerDutyIncident resolved once recovery holds

Rollback runs on approval

Logos show common stacks. CloudThinker connects to each one through read-only access you approve.

[Example scenario]

Friday, 10:42. Orders start failing.Half the team is at lunch.

A 60-engineer retail platform on EKS in eu-west-1, deployed with Argo CD, paged through PagerDuty. A weekend promotion goes live at 12:00.

10:42
SEV-1 opensSignal
Datadog: 503 rate on orders-api above 30%. PagerDuty pages the incident commander and opens #inc-orders-503.
10:42
Agent builds the timelineAgent
Pulls error rates, pod events, traces and every deploy in the last two hours into one timeline in the channel.
10:44
Change foundAgent
Argo CD synced inventory-svc v3.8.1 at 10:39. Its new readiness probe path returns 404, so new pods never become ready.
10:45
Rollback proposedAgent
Roll back to v3.8.0 through Argo CD. Tested against the previous manifest. Status update drafted for the support channel.
10:47
Commander approvesYour team
The incident commander checks the probe diff and approves the rollback. Support posts the drafted update to customers.
11:04
Recovery verifiedAgent
Error rate at baseline for 15 minutes. Incident resolved, timeline and postmortem draft attached to INC-2291.

#inc-orders-5034 messages

PagerDuty10:42
SEV-1 triggered: orders-api 503 rate 38% (Datadog monitor 81142).
CloudThinker10:45
Root cause: inventory-svc v3.8.1 changed readinessProbe to /healthz/ready, which returns 404. 0 of 12 new pods ready. Proposed: Argo CD rollback to v3.8.0. Evidence: 5 links.
Incident commander10:47
Probe diff confirmed. Approved. Support, use the drafted update.
CloudThinker11:04
Rolled back. 503 rate at 0.2% and steady for 15 minutes. INC-2291 resolved. Postmortem draft is ready for review.

from page to approved rollback: 5 min
from page to verified recovery: 22 min
status updates written by hand: 0

An illustrative example. Team, systems and times are representative, not a specific customer.

[Frontier resolution agents]

Agents run the incident work.Your incident lead makes the calls.

Agents handle the parts of an incident that eat the clock, so responders spend their time deciding, not digging, and every incident ends with a postmortem already drafted.

Find the root cause: Signals, deploys and config changes lined up in one timeline, with the evidence behind each finding.
Keep everyone updated: Status updates posted to the incident channel and status tools, so responders stay on the fix.
Verify recovery: Error rates, latency and saturation checked against the baseline before anyone calls it resolved.
Draft the postmortem: Timeline, root cause, actions and follow-ups written up for your team to review and own.

[What changes]

Same team. Same tools.Far less of the work by hand.

Moment	Today	With frontier agents
Opening the incident	A call, a channel and a scramble	Timeline and first findings ready on join
Finding what changed	Asking around in the channel	Every recent deploy and config change listed
Stakeholder updates	Written by a responder mid-fix	Posted on a schedule by agents
Closing the incident	When the graphs look fine	When recovery is verified against baseline
The postmortem	Written days later, from memory	Drafted from the timeline before you close

[Integrations]

Connects to the rest of your stack.Read-only to start.

PagerDuty
Opsgenie
incident.io
ServiceNow
Slack
Amazon CloudWatch
Datadog
Grafana
New Relic
Dynatrace
Splunk
Sentry
Argo CD
GitHub
GitLab

[Adoption path]

One pilot.Then company-wide.

The rollout follows the four phases of the AWS Cloud Adoption Framework, so it fits the plan your cloud team already runs.

01Envision
Pick one on-call rotation
Connect one rotation read-only and let agents shadow the next incidents. Compare their root causes with your postmortems.
02Align
Agree the response policy
Decide which actions agents may take mid-incident, which need the incident lead, and who that is per service.
03Launch
Roll out rotation by rotation
Add each team’s services and on-call schedules on the same policies, timeline format and audit trail.
04Scale
Make it the default
Every incident opens with agents attached. Postmortem actions feed runbooks, alerts and release checks.

[AWS guidance]

Built the way AWS says to run it.Reviews start from a known reference.

[Trust and control]

Agents do the work.Your team keeps control.

You approve every change: Agents propose. Nothing touches production until someone on your team says yes, and you set that rule per system.
Every action on the record: Each step is logged, attributed and reversible, ready for your auditors.
Certified for enterprise: SOC 2 Type II and ISO 42001, with reports in our trust center.
Runs where you need it: In our cloud, through AWS Marketplace, or inside your own account.

[Questions]

What teams askbefore they start.

Does this replace our incident management tool?: No. Agents work inside PagerDuty, Opsgenie, incident.io or ServiceNow and your chat channels. Your process and roles stay the same.
Who is in charge during an incident?: Your incident lead. Agents investigate, propose and post updates. Every action that touches production waits for the approval your policy requires.
Can agents roll back on their own?: Only where your policy allows it. Many teams let agents roll back a release that clearly caused a regression and keep everything else behind approval.
What happens after the incident?: Agents draft the postmortem from the timeline, with root cause, actions and follow-ups. Your team edits it and owns the result.

[Go deeper]