AgentPMO — Capacity, Accountability & SLA Management for Human + AI Teams
The agent era is creating a new management layer that most companies do not yet have.
The Problem
The agent era is creating a new management layer that most companies do not yet have.
It is no longer enough to ask whether AI can help with a task. Teams increasingly need to answer:
- which work should stay human-authored vs AI-edited vs fully agent-executed;
- which agent owns which class of task;
- what happens when an agent stalls, exceeds confidence limits, or misses an SLA;
- how managers compare output quality and cycle time across humans and agents;
- how cross-functional teams prevent invisible “shadow work” from accumulating across automations.
Traditional project and service tools were not designed for teams where part of the workforce is non-human, asynchronous, and software-defined.
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