Hard bounces spiked from ~180/wk to 580/wk across your onboarding and reactivation campaigns. 73% are concentrated in the 'Trial-Nurture' audience list, mostly addresses added via the May webinar import. Suppression list grew by 410 contacts, putting $9,100/mo in lifecycle-attributed pipeline at risk.
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 reconciles your SendGrid campaign and template data against product usage and revenue, so you see which sends actually drive signups, activation, or expansion, not just opens and deliveries. When a lifecycle campaign that used to convert stops producing paying users, you find out before the cohort goes quiet, and you can trace the blended CAC back to the email stage where the funnel broke.
When bounce rates, blocks, or spam complaints shift across your campaigns or audience lists, it tells you which segments are affected and how many contacts you are losing. You find out the day it moves, not when the post-mortem reveals half your list never got the email.
It watches your audience lists and suppressions for drift: growing unsubscribe rates, invalid-email accumulation, segments that stopped growing. When a list's reachable contacts drop below a threshold you care about, it flags the lists and the sources feeding them, so you can clean up before the next campaign goes out to a degraded audience.
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 SendGrid object, modeled and query-ready the moment you connect.
It runs on your real SendGrid account (bounced imports, stale suppression groups, test campaigns that never got cleaned up, 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 →