Your top-of-funnel prospecting campaign spent 3.2x its usual weekly rate while view-through conversions fell to near zero once you tie impressions back to actual closed deals, well below your 4:1 ROAS baseline.
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 AdRoll spend and attributed conversions to the deals that actually closed in your CRM and the revenue in your billing data, so you see real ROAS by campaign and segment, not the platform's view-through count. When blended cost per customer drifts off target, you hear about it before the budget is already gone.
When a retargeting segment's conversion rate drops off its trend, it surfaces which segment, how much you have spent since it turned, and whether the audience pool shrank or the creative fatigued. You find out the week it starts slipping, not when you pull the monthly report.
It watches CTR and CPA at the ad level and flags the creatives pulling a campaign below its baseline. You see which ads to rotate before the campaign-level numbers get bad enough to notice in the dashboard.
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 AdRoll object, modeled and query-ready the moment you connect.
It runs on your real AdRoll account (view-through attribution windows, overlapping segments, paused campaigns and all), 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 →