9 tasks in the migration project are past due with no activity in 6+ days, and the two on the critical path are blocked, while your warehouse cutover ticket still shows open.
An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.
An agent does what you'd do, and only what you've authorized.
It acts on the same governed metrics as your dashboards, and every action is logged and traceable.
It alerts and recommends on its own; anything that changes data is yours to approve.
Point a new agent at a throwaway channel and watch its judgment before it touches anything real.
It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.
It joins your Asana projects and tasks to the systems the work is supposed to move (the warehouse, the repo, the tickets) and flags where a task is marked done but the underlying change never landed, or where real progress isn't reflected on the board. You catch the drift between the plan of record and reality before a status update goes out on stale information.
When a task on the critical path goes quiet, blows past its due date, or sits blocked with no activity, it tells you which one, who owns it, and how long it's been frozen. You hear about the stall while there's still time to unblock it, not in the retro.
It watches assignment and throughput across your portfolio and flags when one person or team is buried while a deadline approaches, or when a project's open task count is climbing faster than it's closing. You can rebalance before the slip is baked in.
Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.
You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:
Every Asana object, modeled and query-ready the moment you connect.
It runs on your real Asana workspace (the abandoned projects, the catch-all sections, the tasks nobody re-assigned when someone left), not a tidy demo.
A message in the channel you choose, with the context and a button to act on it.
A summary in the inbox of the people who need to see it.
A payload to your own systems, to wire the agent into whatever you already run.
A flag written back to your warehouse for everything downstream to pick up.
Kick the question to Fi to investigate the why and propose the fix.
Expose it to your own agents and tools over MCP, and drive it from your stack.
Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.
Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.
Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.
Meet Fi →The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.
Autonomous agents →