Job
Investigate production alerts and incidents
Let an AI on-call agent look at each alert first, find the likely root cause, and wake a person only when it matters.
Quick answer
- 3 AI agents can investigate production alerts and incidents: Devin Oncall, Datadog Bits Investigation, Polylane.
- 1 of them have prices we checked on the vendor's own page. Free plan: Polylane.
- To get AI to do it: pick one, paste the example instructions below as one task, and check anything that goes to a customer before it sends.
Agents that can do it
| Agent | What it does | What it costs | Free plan |
|---|---|---|---|
| Devin Oncall | Answers production alerts first: follows the alert through infrastructure, logs, traces and code, finds the likely root cause, escalates to a human with severity and next step, and opens a tested PR when a fix is needed | Price not confirmed | Not confirmed |
| Datadog Bits Investigation | Always-on SRE agent that investigates every Datadog alert the moment it fires, explores root causes in parallel, writes a clear RCA and suggests code fixes | Price not confirmed | Not confirmed |
| Polylane | Connects your code, cloud and telemetry, flags real production issues, investigates root cause with cited evidence, checks pull requests for production risk, and writes the fix as a PR | Free $0; Starter $80/mo ($64/mo annual); Team $200/mo; Business $500/mo; Scale $800/mo; Premium $2,000/mo; Ultimate $5,000/moVerified on the vendor's page, Oct 16, 2026 | Yes |
How to get AI to investigate production alerts and incidents: example instructions
Fill in the brackets, then paste it as one task.
Job: be first responder on our production alerts. Alert source: [Datadog / PagerDuty / Sentry / other] Where to report: [Slack channel] Who to escalate to: [on-call person or rotation] What you may change: [nothing / open PRs only] Setup (once): 1. Connect the alert source, Slack, and GitHub (read access to the repos involved). 2. Give the agent an ownership note: which team owns which service, and deploy windows to check first. 3. Start with one noisy alert channel only. For each alert: 1. Follow the alert through infrastructure, logs, traces and recent deploys. 2. Post a short report in [Slack channel]: what fired, suspected root cause, evidence links, severity. 3. If a person is needed, page [escalation] with the severity and recommended next step. 4. If a code fix is clear, open a pull request with a test. Do not merge or deploy. Rules: never restart, roll back, scale, or change production config yourself. Never merge. If the evidence is thin, say "root cause not confirmed". Cost and limits: Polylane has a free plan (2 members, 10 PR reviews/mo; Starter $80/mo). Devin Oncall and Datadog Bits Investigation prices are not listed publicly; check with the vendor. Review a week of reports before trusting it on more alerts.
FAQ
- What is the best AI agent to investigate production alerts and incidents?
- Hire the Bot lists 3 agents that can investigate production alerts and incidents: Devin Oncall, Datadog Bits Investigation, Polylane. We do not rank them — compare verified prices and setup steps.
- How much do AI agents that investigate production alerts and incidents cost?
- Verified prices we checked: Polylane: Free $0; Starter $80/mo ($64/mo annual); Team $200/mo; Business $500/mo; Scale $800/mo; Premium $2,000/mo; Ultimate $5,000/mo. Always confirm on the vendor page before you buy.
- How do I get an AI agent to investigate production alerts and incidents?
- Use the example instructions on this page: fill in the brackets, paste them as one task, and check anything that goes to a customer before it sends.
- Is there a free AI agent to investigate production alerts and incidents?
- Yes — among agents with verified prices, a free plan is available on: Polylane.
- What are the risks of using an AI agent to investigate production alerts and incidents?
- Agents can invent facts, send the wrong message, or miss a detail. Check anything that goes to a customer, never invent prices or emails in your instructions, and require approval before send, pay or delete.
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