The first decade of enterprise AI was about prediction — models that informed decisions. The next decade is about execution — AI that performs real work. But as companies deploy agents to take on repetitive, rule-based tasks, they’re discovering that scaling AI labor introduces new challenges: scheduling, safety, resource allocation, and reliability.

Just as companies once needed HR, payroll, and management systems to run human teams, they’ll soon need infrastructure to run AI teams. These frameworks will coordinate workloads, manage state, track performance, and prevent runaway processes. They’ll allow organisations to operate mixed human–agent workforces safely and efficiently.

We see this domain as the next foundational layer of enterprise AI — the “ERP for AI work.” It will enable companies to design, deploy, and supervise agentic work systems with the same confidence they manage human ones.

If you’re passionate about building the control plane for AI labor — the systems that make intelligent workforces reliable, transparent, and humane — we’d love to explore this domain with you. Become a founder.