AI agents should not float around as unmanaged tools. Each one needs a domain expert responsible for its mandate, permissions, performance, and development, supported by AI engineers and shared infrastructure.
The domain expert owns the agent's outcomes: what it should do, what it can access, and how performance is judged.
No AI expertise required. What matters is domain knowledge, management judgment, and willingness to improve the agent over time.
The AI engineer translates intent into working agents: configuration, integrations, tool access, deployment, and technical troubleshooting.
One engineer supports multiple agents across multiple units, coaching domain experts while escalating infrastructure gaps to AI Ops.
AI Ops makes deployment possible across the whole organization.
It owns the agent platform, integrations, and context layer that let agents access the right information at the right time.