Agentic GitOps: Building an autonomous platform stack for the enabled enterprise

GitOps transformed enterprise platform operations by making infrastructure auditable, version-controlled, and reproducible. But the model has a ceiling: every reconciliation loop still depends on a human to detect drift context, interpret alert signal, author a corrective pull request, and navigate the approval chain. At enterprise scale, that human bottleneck compounds, and the gap between declared state and desired outcomes quietly widens.

This session introduces Agentic GitOps, an architectural pattern that embeds AI agents directly into the GitOps control plane. The speaker presents a production-validated reference architecture in which autonomous agents handle drift remediation, policy enforcement, capacity forecasting, and incident self-healing, with each action traceable, reversible, and auditable through the existing Git history. Drawing on a deployment spanning four regulated business units, the speaker quantifies the outcomes: a 73% reduction in platform toil, a 5x improvement in mean time to remediation, and a compliance posture that satisfies audit requirements without slowing engineering throughput.

Attendees leave with the reference architecture diagram, an agent responsibility matrix, and a phased adoption roadmap for introducing autonomous agents without surrendering operational control.