For engineering and platform leaders
Every agent that touches production, governed in one place.
Agents are already in your stack: one inside the observability tool, one in the incident tool, one in the cloud console, and several your teams built themselves. NeuBird gives them one center: shared memory, one policy for which models they may use, one boundary for what they may change, and one audit trail.
The leadership view
Five agents, five memories, no center.
Agent sprawl
Every vendor ships an assistant that only sees its own data. Every team wires up its own. None of them share what they learn, and no one can say what all of them are allowed to do.
Model spend with no owner
API keys are scattered across agents and teams. Which model was used, on which data, at what cost, for which outcome: nobody can answer for the whole estate.
Autonomy as an all-or-nothing switch
Agents are either boxed into dashboards or trusted with production on day one. There is no mechanism for trust to widen as a track record builds.
Institutional knowledge in one head
The fix lives in a thread and in the engineer who found it. When they leave, so does the knowledge, and every agent starts blank again.
How the center works for leadership
One record. One policy. One boundary.
Connect once
The center connects to your cloud, observability, incident, and collaboration stack once. Every agent that joins, vendor-built or your own, inherits the connections and the shared memory.
Govern every model call
One policy decides which models any agent may use, on which data. Every call is attributed to an agent, a user, a question, and a cost. Model spend becomes a line you can read.
Widen autonomy on evidence
Agents start by proposing. As approvals accumulate for a class of action, the boundary widens. Every step, proposed or taken, is in the audit trail your security team can export.
Built for the view from above
What it gives your organization.
Reliability from the record
Incident trends, recurring failure patterns, and remediation history drawn from memory, not hand-assembled status decks.
Model and cloud spend attributed
Every model call and every cost recommendation traced to the service and team that owns it.
One audit trail
Who asked, what was read, which model reasoned, what changed, who approved. For every agent, exportable to your SIEM.
Earned write access
A single, legible boundary for what agents may change in production, and a mechanism for widening it on track record.
Knowledge that stays
Shared memory outlives tenure and tooling changes. New engineers and new agents start from what the estate already knows.
Briefs where you read them
Weekly reliability and cost briefs in Slack or email, drawn from the same record the on-call team works from.
FAQ
Common questions
How does NeuBird help engineering leaders govern AI agents in production?
NeuBird is the Agentic Operations Center: one place that every agent touching production connects to. It provides shared memory, governed model access, context engineering, and earned write access, so leaders get one policy, one boundary, and one audit trail across vendor agents and the ones their teams build.
What does the audit trail record?
For every agent action: who asked, what was read, which model reasoned, what changed, and who approved. It is exportable to your SIEM and covers proposals as well as executed actions.
How is model spend controlled?
Governed model access sets one policy for which models any agent may use, on which data. Every call is attributed to an agent, a user, a question, and a cost, so spend can be read per team and per outcome instead of reconstructed from scattered API keys.
Do we have to replace our observability or incident tools?
No. The center connects to your existing cloud, observability, incident, and collaboration stack. NeuBird and your own agents work on top of those tools, and findings land in Slack, PagerDuty, or ServiceNow.
How is autonomy controlled?
Through earned write access. Agents start by proposing actions. As approvals accumulate for a class of action, that class can be allowed to run on its own. Anything outside the boundary is proposed and waits for a human.
Is NeuBird secure enough for enterprise production?
NeuBird is SOC 2 Type II certified, retains no raw operational data, supports RBAC and scoped permissions, and can run inside your own environment. See the security page for details.
For engineering and platform leaders
See the center your agents are missing.
Walk through how memory, governed model access, and earned write access would apply to the agents already in your estate.