Agents that absorb the IT and DevOps toil
Alert triage, runbook execution, access requests, patching, and ticket grunt work — handed to supervised agents that act inside your tooling, with approvals on anything that touches production.
- Alert triage & noise reduction
- Self-healing runbook execution
- Access & provisioning requests
- Patching, releases & rollbacks
Your best engineers are stuck doing tier-1
The work that drains DevOps teams isn't hard — it's relentless.
Pager goes off at 2 a.m. for a disk that's 81% full. A new hire waits two days for repo and VPN access. The same Datadog alert flaps forty times before someone mutes it. A CVE drops and someone hand-patches thirty hosts. Tickets pile up that are really just 'restart the service' or 'rotate the cert.'
None of it requires senior judgment. All of it requires a human to be awake, paying attention, and clicking through five tools. That's the toil tax — and it's why incident response is slow, onboarding is painful, and your platform engineers are doing helpdesk instead of building.
Agentic automation takes the repetitive, well-understood work off the queue and leaves the genuinely ambiguous decisions to people — with the context already gathered and the safe options already attempted.
Workflows agents take over first
Start with the high-volume, low-ambiguity toil. Expand as trust and ROI compound.
Alert triage & deduplication
Enrich, correlate, and dedupe alerts across Datadog, Splunk, and Prometheus — suppress noise, group the real signal, and open one clean incident instead of forty pages.
Self-healing runbooks
Execute known runbooks automatically — clear a stuck queue, restart a degraded service, expand a volume — and verify the fix with health checks before closing.
Access & provisioning
Handle joiner/mover/leaver requests through Okta and your IdP, granting least-privilege access on approval and reclaiming it on offboarding.
Releases & rollbacks
Drive deploys through your CI/CD, watch canary metrics, and roll back automatically on failing checks — promoting only when the signals stay green.
Patching & vuln response
Triage CVEs against your fleet, stage patches in a change window, and update infra-as-code so the fix sticks instead of drifting back.
Ticket resolution
Close the repetitive Jira and ServiceNow tickets — cert rotations, log pulls, config tweaks — and route anything novel to a human with a draft answer attached.
What happens when the pager fires
The agent does the first ten minutes of work before a human is even involved.
Detect & enrich
Pull the alert, correlate recent deploys and related signals, and gather logs, metrics, and topology into one incident.
Diagnose
Match against known runbooks and past incidents, form a hypothesis, and identify the safe remediation path.
Act or escalate
Run the known fix within guardrails, or escalate to on-call with the context, hypothesis, and suggested action attached.
Verify & record
Confirm recovery with health checks, write the timeline, and log every command for the post-incident review.
Production access, on a short leash
Agents don't get root and a blank prompt. They act through your existing IAM, change-management, and CI/CD, scoped to exactly the actions a given workflow needs. Read-heavy triage runs freely; anything that mutates production waits behind a human approval gate.
Every step is bounded by change windows, blast-radius limits, and canary checks, with automatic rollback when health checks fail. And because every command, decision, and approval is logged, your audit and post-incident reviews get a complete, queryable trail instead of a Slack thread.
- Least-privilege, per-action scoping through your IAM
- Approval gates on destructive or prod-touching steps
- Change windows, blast-radius limits & auto-rollback
- Full, queryable lineage for audits and PIRs
Scripts & runbooks vs. agents
Why an agent is more than the automation you already wrote.
| Static scripts | An Automatic.co agent | |
|---|---|---|
| Triggering | Fires on a fixed rule | Reads context and decides if and how to act |
| Ambiguity | Breaks on the unexpected | Forms a hypothesis, then acts or escalates |
| Tooling | One system at a time | Orchestrates across IdP, CI/CD, observability & ticketing |
| Oversight | Silent until it fails | Approval gates, lineage, and a written timeline |
| Upkeep | Rots as the stack changes | Adapts and is governed as a managed system |
Frequently asked questions
Will agents have production access?
Only what you grant, scoped per action. Agents act through your existing IAM, change-management, and CI/CD — every command is logged, and anything destructive (a rollback, a prod migration, a firewall change) routes to a human for approval first.
How do agents fit our on-call and PagerDuty setup?
They sit in front of it. The agent enriches and triages the alert, attaches the runbook, and attempts the known fix. If it can't resolve safely it escalates to the on-call engineer with the context already gathered — so the page that does fire arrives half-solved.
What about flaky automation making things worse?
Agents operate inside the same guardrails your engineers do: change windows, blast-radius limits, canary checks, and automatic rollback on failing health checks. Every action is reversible and traceable, and risk thresholds decide what runs autonomously versus what waits for sign-off.
Do we have to rip out our existing tooling?
No. The agents integrate with what you run today — Jira, ServiceNow, GitHub or GitLab, Terraform, Kubernetes, Datadog, Splunk, Okta. We orchestrate across them rather than replacing them.
Pick your noisiest alert. We'll automate it.
One working session to map your highest-toil IT and DevOps workflows and the guardrailed path to handing them to agents.