Agentic Operations
Cobey Maynard · Operations Lead, Meta Superintelligence Lab
Building the operating model where agents do the repeatable work.
I design AI agent systems for operations teams: workflow architecture, orchestration patterns, human escalation, and the infrastructure that turns automation into reliable execution.
Point of view
Agentic Operations is not another tool category.
It is the shift from people moving information between systems to people designing systems where agents can reason, act, and escalate inside real operational constraints.
Workflow first
Agents succeed when the process is redesigned around decisions, handoffs, escalation, and measurement.
Tools with boundaries
Production agents need access, memory, permissions, confidence thresholds, and clear rules for when humans take over.
Operators become architects
The valuable work shifts from running repeatable tasks to designing the systems that run them.
Start Here
Understand the operator
Ask the career agent about the path from military systems, Salesforce architecture, and enterprise delivery into AI operations.
Inspect the systems
Review active builds, shipped automations, and the orchestration patterns behind agentic operations.
Read the field notes
Dated essays on agents, workflow redesign, autonomy, MCP, and the future operating model.
Why This Matters
of enterprise apps will embed task-specific AI agents by late 2026, up from under 5% today
of executives expect AI agents to take independent action within their organizations by 2027
projected global spending on AI systems by 2026, reshaping how operations teams function
high-performing orgs are 3× more likely to scale agents by redesigning workflows, not layering on tools