In the new model, we use LLMs to compensate for human cognitive limits by introducing AI agents into the controller, sensors, and actuators.

  • As controllers, AI agents work with engineers to explore problems, reason about incidents and propose actions. 

  • As sensors, they continuously retrieve and interpret telemetry to surface patterns and hypotheses. 

  • As actuators, they execute changes and remediation steps under human guidance.

SRE is no longer a human-only activity. It is AI-augmented (with controls).

A new context component is introduced as a first-class part of the system. This layer captures intent, policies, system understanding, historical knowledge and decision rationale, and is continuously enriched by AI agents. It turns raw telemetry into meaning and provides the substrate on which decisions are formed. Without this layer, systems can be observed but not properly understood.

Governance is extended beyond system reliability to include AI trust controls. Traditional SLOs and error budgets remain for execution, but they’re complemented by controls over autonomy, decision quality, drift, policy compliance and auditability. The goal is no longer only to keep services running, but to ensure the intelligent agents augmenting SRE behave correctly and can be trusted.

Together, these changes transform SRE from a discipline that controls execution into one that is intelligent by itself and governs the new state of complexity.

Conclusion

SRE was created in the 2010s to make distributed systems controllable. It succeeded by turning complexity into an engineering problem through modeling, observability, and disciplined control.

Today, systems are no longer only distributed. They are becoming cognitive, autonomous and increasingly self-directed. Decision-making is moving into software, while AI is reshaping how systems are built, changed and operated. The original control model is no longer sufficient.

We believe building intelligence into the new control system is the only way to govern intelligence itself. It’s no longer possible to rely solely on human cognition and the classical SRE construct.