Building agents for on-call and incidents?

AI SRE

Agents that investigate your production systems during on-call, incidents, and daily production tasks.

100%
of alerts investigated
72%
faster investigations
30%
fewer engineers per incident

Machines on-call for humans

Always-on AI SRE that works like your best engineers at scale.

01Capabilities

Triages every on-call alert

Resolve AI joins every on-call rotation and starts investigating the moment an alert fires.

  • Triages against existing runbooks or creates one where it doesn't exist
  • Provides blast radius by comparing it to the relevant signals
  • Recommends silencing, routing, a predefined action, or deeper investigation

Investigates incidents alongside engineers

Domain-specialized agents pursue hypotheses in parallel and work with engineers in channels.

  • Pursue different hypotheses at the same time and drive engineers to root cause
  • Verifier checks each root cause against production evidence
  • Engineers can see, ask, and steer agents as new evidence surfaces

Deployment monitoring

Background agents continuously check deployments and existing services to spot anomalies.

  • Compares post-deploy behavior against a rolling baseline for that service
  • Investigates the drift and names the code path responsible
  • Flags it with a rollback option before it becomes an alert

Building tests and telemetry

Tells you how your code actually behaves in production directly from Slack, a terminal, or your coding agent.

  • Shows real traffic, dependency load, and failure history for the code you are touching
  • Points to the failure modes and tests production says matter
  • Finds missing telemetry before it becomes a blind spot in an incident

Operational reports

Handoffs, postmortems, and runbooks written while the investigation is still fresh.

  • Drafts handoffs with what is still open, what was ruled out, and what to watch
  • Generates postmortems with the timeline and evidence already attached
  • Turns corrections and new findings into runbooks and skills any agent retrieves later

Used and loved by engineers

Removing the toil of investigations, war rooms, and on-call.

Resolve AI proved it could deliver real results in a constrained environment. It identified dependencies, surfaced accurate root causes 73% faster than our teams, all while integrating cleanly into our existing stack.

Angelo Marletta

Angelo Marletta

Staff Software Engineer, Coinbase

Resolve AI makes our junior on-call engineers as effective as our seniors, flattening the experience curve. We’ve seen a 2x productivity lift while eliminating the runbook gap.

A.D.

A.D.

Sr. Director of Engineering, Financial Services Company

Literally everybody said Resolve AI is a ‘game changer’ when it comes to incidents and resolution

D.R.

D.R.

Production Engineering, NoSQL Database

Resolve AI feels like a teammate who’s already done half the work. It tells me immediately if something’s critical or can wait, saving countless hours and frustration.

Andreas Gounaris

Andreas Gounaris

Director of Engineering, Blueground

It correctly identified that all of the errors were from a single transaction being retried rather than a widespread issue. It also provides the exact method from code that the transactions failed in.

Anon.

Anon.

Software Engineer, Public Consumer Finance Company

It was able to pinpoint the exact PR that introduced the bug and tell me the event IDs, categories, and how many listings we were over our defined rate limit.

P.V.

P.V.

Sr. Software Engineer, Mobile Ticketing Marketplace

We have seen compelling proof that Resolve AI arrived at the same root cause that the humans did, but 4-5 hours before an incident actually happened.

D.W.

D.W.

Engineering Leader, Cloud Security Provider

Frequently asked questions

See AI SRE in your environment.