AI agents that run your work
A lot of the work a business runs on is repeatable. The same report every week, the same follow-up after every meeting, the same checks on every order. That’s the work we hand to AI agents, so your team can spend their time where it counts.
What an agent is, plainly
Think of an agent as a reliable worker you’ve trained for one job. It has a clear brief, a set of things it’s allowed to do, and access to the right context about your business. You define what good looks like, and it does the task the same careful way every time. Under the hood that’s generative AI and machine learning, but you don’t need to think about that. You think about the outcome.
From one task to a whole process
Most useful work is more than one step. We build processes by joining steps together, each handled by an agent with the right skill: read this document, check it against that record, draft the email, log the result. Some skills are about thinking, and some connect to your other tools, like your inbox, your project tracker, or your knowledge base. Strung together, they run a real process end to end. This is the practical side of intelligent process automation and robotic process automation, built around your business rather than off a shelf.
Runs on demand, or on a schedule
An agent process can run when you ask, on a set schedule, or when something happens, like a new meeting transcript landing. If a step fails, it’s retried and managed, so you’re not left wondering whether it ran. Every run is tracked, so you can see what it did and what it cost.
Paid for as Token Units
The daily runs of your live agents are spent as Token Units, and building them uses Token Units too. As more of your routine work moves to agents, your mix shifts from people to AI, which is exactly how the Units model is designed to work. See automating your processes for how we turn a manual task into an agent, and our AI agents service for the wider picture.
People stay in charge
Agents clear the routine and flag anything they’re unsure about for a person to check. The judgement calls stay with your team. That mix is the point: reliable on the repeatable work, honest about the rest.
Ready to start? Take the AI Roadmap Interview.
