From AI Adoption to AI Management

​Your team already uses AI. Now it's time to manage it.

​Cursor with one developer, Claude with another, Copilot with a third, ChatGPT across multiple tabs — and no one sees the full picture: what AI actually did, why it did it, how much it cost, and where the risks are. The first wave of AI in development delivered a 1.5–2× boost - along with managed chaos.

​In this webinar, we’ll show how engineering leaders move from AI adoption (teams already using tools) to AI management (tools operating as a controlled system within the SDLC) — without slowing down delivery, replacing Jira or Git, or launching a six-month “AI transformation.”

​Using real examples, we’ll break down where to start safely, how to introduce role-based agents step by step, and when a team is ready for an agent swarm. We’ll also show a live demo of C1Cursor — the tool we use in client projects to orchestrate agents under the supervision of a single engineer.