Agentic DevOps Playbook: AI Workflows for High Velocity Teams

Pipelines automated steps. Agents automate decisions. This session shows how AI-first, agentic workflows sit on top of your platform to coordinate code, tests, environments, policies, and releases—without losing control. We’ll break down a reference architecture (Platform → Automation → AI), design guardrails (RBAC, audit trails, cost caps), and demo a full “agentic sprint”: PR risk analysis, test planning, ephemeral envs, failure triage, policy checks, and release notes. You’ll leave with a 30-day pilot plan, measurable KPIs (lead time, MTTR, change failure rate, toil), and a framework to avoid AI sprawl via governed, interoperable agents.

Key Takeaways:

• 5 high-leverage agentic use cases that deliver value in weeks

• A governed approach to prevent AI sprawl (policies, model choices, data boundaries)

• KPI toolkit for quantifying impact (lead time, MTTR, CFR, toil reduction)

• A repeatable pilot blueprint using Platform + Automation + AI

• Change-management tactics for adoption without breaking delivery