Reply rates across your top 5 cadences fell to 2.1% vs. your 3.2% trailing average. 112 prospects enrolled 10+ days ago have no email reply, call connection, or meeting booked, mostly on the outbound enterprise cadence that launched last Monday.
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 Salesloft cadence enrollments, emails, calls, and meetings to your CRM pipeline and closed-won data, and shows which sequences are producing real opportunities and which are just producing activity. You stop steering reps on volume metrics that never connected to revenue.
When reply rates, connection rates, or meeting-booked rates break their trend on a cadence, it tells you which steps are underperforming, which rep segments are affected, and how many prospects are stuck without engagement, so you fix the sequence before pipeline dries up.
When a rep's call volume, email output, or task completion rate drops below their own baseline, it surfaces the gap alongside their pipeline coverage, so you coach the problem in a 1:1 instead of discovering the miss in a forecast review.
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 Salesloft object, modeled and query-ready the moment you connect.
It runs on your real Salesloft account (half-finished cadences, reps who log calls inconsistently, test prospects 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 →