2
1 Comment

AI Employees are easy to build. Managing them is the hard part.

We're seeing more AI agents become capable of doing real business work.

But once you have multiple agents working across an organization, a new problem appears:

How do you actually manage them?

Who owns the work?
What should they be allowed to do?
When does a human need to approve something?
How much did the work cost?
What happened after the task was completed?

This is the problem we're building OneCo around.

Our model is simple:

AI Employee → Outcome → Approval → Governance → Audit

We're starting with the idea that an AI Employee shouldn't just be another chatbot or automation.

It should be a managed worker inside an organization.

We're still very early, and that's what makes this stage interesting.

I'd love to hear from other founders and builders:

If you could hire one AI Employee today, what job would you give them?

posted toAvatar for product Oneco
Oneco
  1. 1
    One insight that kept coming up during development: Building an AI agent is becoming easier every month. Building trust around AI work is not. Organizations don’t just need execution. They need ownership, approvals, visibility, cost accountability, and auditability. That’s the part we’re most interested in exploring.