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Production that runs itself.
A Production Ops Agent is an AI agent that runs production operations alongside your engineers. It prevents incidents before the page, resolves the ones that get through with root cause in under 5 minutes at 94% accuracy, and operates production between them. Every action waits for your engineers to approve it. Three pillars define it: Prevent, Resolve, Operate.
AI coding tools have multiplied how fast code reaches production. The number of engineers who understand that production has not grown with it. Alerts pile up, war rooms run long, and the same senior engineers get pulled off the roadmap every time something breaks.
Dashboards and copilots move the reading around but leave the work with the on-call. A Production Ops Agent takes on the work itself: it filters the noise before it pages anyone, investigates across every tool when something does break, and hands back an answer your team can approve, so engineers spend their time building instead of firefighting.
The three pillars
Pillar 1
The page mostly stops before it starts.
Context Engineering filters alert storms and fixes the underlying signal upstream, so the noise never reaches the on-call. The agent also surfaces the blind spots: services with no owner, no alert, and no runbook. Early warning arrives 30 to 60 minutes before an incident would have paged anyone.
Proactive incident management →Pillar 2
One investigation, one answer.
The agent does the digging a war room would take hours to finish, then hands your team the root cause, the offending commit, and a proposed fix in under five minutes at 94% accuracy. Engineers review and approve instead of hunting across dashboards.
Autonomous root cause analysis →Pillar 3
The time comes back to you.
Between incidents the agent trims cost, captures every fix so the next one is faster, and rolls each incident into the leadership view. Teams get roughly 40% of ops engineering capacity back, and it goes to the roadmap.
The Production Ops Agent →Not a dashboard with a summary
A tool that correlates signals and hands you a summary has moved the reading, not the work. The on-call still decides, still types the command, still writes the postmortem. A Production Ops Agent concludes, proposes the fix, and, once your engineers approve it, carries it out.
Not an agent that only wakes on alerts
An agent that starts when the page fires and forgets when the session ends will chase the same noise next week. A Production Ops Agent works before the page, remembers every investigation, and keeps operating production between incidents, so each one makes the next one shorter.
What it runs on
NeuBird's Production Ops Agent runs on the Agentic Reliability Center: the platform that queries telemetry in place, meters every LLM through one connection, remembers every investigation inside your perimeter, and lets your own agents inherit all of it over MCP.
FAQ
A Production Ops Agent is an AI agent that runs production operations alongside your engineers. It prevents incidents before they page anyone, resolves the ones that get through with root cause in under 5 minutes, and operates production between incidents. Every action it proposes waits for an engineer to approve it.
Most AI SRE tools wake when an alert fires, investigate, and stop. A Production Ops Agent covers the whole lifecycle: it works upstream to prevent the page, resolves the incident when one gets through, and keeps operating production between incidents by trimming cost, capturing fixes, and reporting to leadership.
Not by default. NeuBird proposes the fix and your engineers approve it. Write access is earned by track record along the Suggest, Recommend, Act spectrum, and every action is recorded in one audit trail.
It runs on the Agentic Reliability Center (ARC), NeuBird’s platform. The ARC connects your telemetry and LLMs once, remembers every investigation, and governs what any agent is allowed to do. Your own agents can connect to the same platform over MCP, API, or SDK.
No. NeuBird queries telemetry where it lives and stores zero telemetry. Memory holds conclusions, versioned and cited, never raw data, and it runs on-prem or in your VPC.
NeuBird connects to your existing observability, incident, cloud, and collaboration tools with no agents to install and no data to migrate, so it can investigate real incidents in your environment from the first day.
Bring a real incident from your environment. We will show you root cause, the offending change, and a proposed fix, ready for your approval.
