NeuBird AI has published the Earned Autonomy Framework, a set of open architectural principles defining how autonomous agents should earn, scope, and operate within write access permissions in production environments. The framework is open for adoption, revision, and co-signature by any operator, security leader, or independent engineer who builds, buys, or runs autonomous software that touches production systems.
NeuBird AI publishes Earned Autonomy Framework for agent access control.
Defines four-level trust spectrum: L0 (Read/Recommend), L1 (Human-Gated), L2 (Policy-Bounded), L3 (Earned Autonomy).
L3 requires demonstrated RCA accuracy; agent cannot self-escalate.
Framework addresses growing enterprise concern about autonomous agent access.
NeuBird AI's Production Ops Agent applies framework with in-VPC execution and policy-bounded access.
Platform is SOC 2 Type II certified, zero-storage by design, and supports air-gapped deployments.
Rather than granting agents unconstrained write access at install or restricting them permanently to passive dashboards, the framework defines a four-level trust spectrum across which agents operate and progress based on verified performance. L0 (Read and Recommend) provides strict read-only access with root cause diagnosis and remediation recommendations. L1 (Human-Gated) requires explicit human sign-off before execution for high-stakes state changes. L2 (Policy-Bounded) executes low-risk remediations automatically within strict policy parameters. L3 (Earned Autonomy) runs high-confidence operations autonomously inside strict VPC containment with real-time circuit breakers and instant auto-rollback, requiring demonstrated RCA accuracy with no self-escalation.
NeuBird AI applies the Earned Autonomy principles to its own production ops agent across four commitments: In-VPC Execution keeping telemetry and data inside the customer's environment; Policy-Bounded Access with least-privilege, temporary credentials and blast-radius limits; Human-in-the-Loop and Circuit Breakers with explicit sign-offs and automated rollback; and Immutable Audit Trail for logged rationale and actions. The Production Ops Agent runs on-premises, in VPC, in the cloud, across hybrid topologies, and in isolated and regulated environments including air-gapped deployments.
"Enterprise buyers have moved past whether AI belongs in production. Now they're asking what the agent is allowed to do once it's been deployed," said Vinod Jayaraman, co-founder and CTO of NeuBird AI. "Autonomy has been treated as a binary: either the agent is passive or it has root access. Neither is acceptable. Write access must be earned through demonstrated accuracy, bounded by policy and revocable the moment confidence drops."
"Enterprise security teams have been asking for an architectural model that gives autonomous AI a defined lane in production, with boundaries that reflect real risk rather than a blanket restriction or an open door," added Jayaraman. "The framework we've published is the model we run on ourselves. We're opening it because the industry needs a shared bar for what safe autonomous AI in production looks like."
About NeuBird AI
NeuBird AI is the creator of The Production Operations Agent, a unified platform of specialized agents engineered to maintain continuous enterprise uptime so engineers don't have to. Operating entirely within a customer's native environment, NeuBird AI proactively prevents anomalies, autonomously resolves incidents, and manages ongoing operations. Backed by top-tier investors including Xora Innovation, Mayfield, and M12, NeuBird AI is headquartered in Redwood City, California.
