AI SRE Agent
AI SRE that knows where to start
NeuBird investigates every alert, finds root cause in under five minutes with 94% accuracy, and stages the fix. It is the Resolve outcome of the Production Ops Agent, powered by the Agentic Reliability Center (ARC).
- RCA accuracy
- 94%
- RCA accuracy
- to root cause
- <5 min
- to root cause
- fewer P1 war rooms
- 80%
- fewer P1 war rooms
- integrations
- 50+
- integrations
New to the category? Read the AI SRE definition, or see how to implement AI SRE on your stack.
Investigations/Checkout latency spikeRe-runSlack context: @Vinod J. flagged “checkout p99 latency doubled after the 14:02 deploy”
Root cause: the checkout-svc v2.41 deploy raised the connection-pool ceiling, saturating the orders database and queuing checkout writes. Rolling back the pool setting restores p99 within two minutes.
Rollback prepared as a Recommend action. Awaiting on-call approval; every step is recorded on the audit trail.
How Resolve works
Detect
Watches logs, metrics, traces, and alerts across production, and separates real signals from noise.
Investigate
Builds a hypothesis-driven investigation over live telemetry, dependency context, and what changed.
Explain
Delivers evidence-based root cause with a clear operational narrative anyone on the team can act on.
Recommend
Prepares the fix, routes it to the right owner, and shows exactly what it would change and why.
Act with Approval
Executes remediation within the write access it has earned, escalating to on-call when policy requires.
“NeuBird changed how we operate in production. During a recent outage, it quickly identified the root cause and guided resolution in minutes, eliminating hours of manual investigation and helping our team restore service faster with confidence.”
Madhu Jahagirdar
VP of Cloud, Technology, and Product, DeepHealth
Why AI SRE Is Becoming Essential
Most teams don't lack data. They lack a clear starting point.
As systems become more distributed, manual investigation slows response, increases operational toil, and keeps senior engineers on 2 AM archaeology instead of the roadmap.
Alert overload
Signal buried in noise
Teams drown in noise before they ever reach the signal that matters. Thousands of alerts, zero clear starting point.
Tool sprawl
Context rebuilt from scratch
Engineers jump between observability, incident management, and dashboards to rebuild context manually, every time.
Slow root cause
Hours to identify the cause
Traditional workflows can take hours to identify what changed, where the problem started, and who should act.
The outcome: Teams spend valuable engineering time chasing symptoms instead of solving causes. Incident response becomes reactive, expensive, and difficult to improve.
How AI SRE reasons.
Every investigation starts with clarity
NeuBird builds the full operational picture in real time, across telemetry, topology, recent changes, and your enterprise knowledge, so every investigation starts with the context a senior engineer would gather, not a blank dashboard.
Correlate everything
Unifies metrics, logs, traces, events, and alerts across AWS and existing observability tools.
Reason like an engineer
Builds a hypothesis-driven investigation instead of showing static dashboards or generic summaries.
Deliver clear action
Identifies the likely cause, explains why, and recommends the next best step with evidence.
Buyer's guide
What to look for in an AI SRE
Six criteria separate causal investigation from alert correlation. Each one below states why it matters and how NeuBird meets it.
Causal root cause, not alert correlation
Metrics that moved together tell you where to look, not why the incident happened.
NeuBird: NeuBird traces cause and effect across telemetry, topology, and recent changes, and shows the causal chain behind every root cause.
Parallel, evidence-backed hypothesis testing
Testing one theory at a time is how a war room stretches from minutes into hours.
NeuBird: NeuBird analyzes 15+ sources in parallel, tests competing hypotheses against live data, and keeps only the conclusions the evidence supports.
Works on your existing telemetry, no rip and replace
An agent that needs your data moved or re-instrumented first turns a trial into a migration project.
NeuBird: NeuBird connects through 50+ integrations and queries your data in place with zero telemetry storage, deployable in under one hour.
Explainable, auditable conclusions
Responders only act on a root cause they can check, and auditors need to see how it was reached.
NeuBird: Every NeuBird finding cites its evidence and records each reasoning step in an audit log your team can review.
From root cause to safe remediation, human in the loop
Root cause only shortens an outage when it ends in a fix someone trusts enough to ship.
NeuBird: NeuBird stages the fix with GitHub-integrated suggestions, and configurable human approval gates with the Suggest, Recommend, Act policy dial decide what it may do in each environment.
Learns from every incident and keeps the memory
Without memory, every incident starts from zero, even when the team fixed the same failure last month.
NeuBird: NeuBird remembers every verified fix in the Agentic Reliability Center (ARC), holding conclusions only with zero telemetry storage, so the next investigation starts from what worked.
How NeuBird compares
How does NeuBird compare to the alternatives?
| Compared with | NeuBird |
|---|---|
| Observability vendors' built-in AI | NeuBird reasons across every tool in your stack, not one vendor's data. |
| Other AI SRE agents | NeuBird also prevents incidents upstream and operates continuously, and its investigations are retained in ARC as conclusions, with zero telemetry storage, rather than discarded when the incident closes. |
| Building your own | Build and buy: ARC gives your internal agents governed access to the same telemetry and memory over MCP. See how NeuBird works with in-house agents. |
Common AI SRE Use Cases
From alerts to answers in minutes
Major incident orchestration
Aggregates metrics, logs, and context into clear summaries for SMEs, orchestrates response workflows, pages and escalates appropriately, and drives post-incident learning.
Database and latency problems
Correlate infrastructure, workload, and application behavior quickly when performance slips.
Kubernetes failures
Diagnose container, memory, and orchestration issues across clusters with clearer context.
Deployment and trust
Your environment or ours
Run NeuBird in your own environment or as a managed service. NeuBird is SOC 2 Type II, queries your data where it already lives, and stores zero telemetry.
FAQ
AI SRE questions, answered
Which AI SRE platform is best for enterprise-scale incident investigation?
The best choice finds causal root cause across the tools you already run, shows its evidence, and remembers every fix. NeuBird reaches root cause in under 5 minutes with 94% accuracy across 50+ integrations, and keeps verified fixes in memory with zero telemetry storage.
What features should an AI SRE platform have?
It should offer causal root cause analysis, parallel hypothesis testing, support for your existing telemetry, explainable conclusions, safe remediation with configurable human approval gates, and memory of past incidents. NeuBird is built around all six.
Does NeuBird do root cause analysis or just alert correlation?
NeuBird does causal root cause analysis, not alert correlation. It tests competing hypotheses against live telemetry, topology, and recent changes, then shows the causal chain from trigger to symptom.
Does NeuBird execute fixes automatically?
NeuBird executes a fix only where you allow it to. Configurable human approval gates and the Suggest, Recommend, Act policy dial, set per environment, decide whether it proposes a fix, stages it, or applies it with earned write access.
How is NeuBird different from Resolve AI or Traversal?
NeuBird covers the whole production lifecycle, not incident response alone: the Production Ops Agent also prevents incidents upstream and operates production between incidents. Its investigations are kept in ARC as verified conclusions with zero telemetry storage, so the next investigation starts from what already worked.
How does NeuBird learn from past incidents?
NeuBird keeps every verified fix in the Agentic Reliability Center (ARC), storing conclusions and causal chains with zero telemetry storage. The next investigation starts from that memory, so a failure your team has already solved is recognized instead of rediscovered.
From Alerts to Answers in Minutes
AI SRE is not about layering AI on dashboards. It replaces manual investigation.
Autonomous incident intelligence that works with your existing stack: no rip and replace, no prompt engineering required.