Median first-response time for these accounts jumped from 1.4 hrs to 6.2 hrs this week. 9 of 12 are in their renewal window. Tagged conversations show billing and outage topics clustering together.
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 Front response times, SLA breaches, and conversation volume against your billing and product-usage data, and surfaces the accounts whose support pattern looks like churn before the renewal conversation starts. You get a ranked list, not a dashboard you have to remember to check.
When handle times or first-response times drift above your baseline for a team, channel, or inbox, it tells you which queues are slipping, how far, and what changed, so you can rebalance before the breach becomes a pattern your customers notice.
It watches conversation volume per teammate and team, compares it to historical norms, and surfaces the imbalance with enough context to act on: who is overloaded, which inboxes are driving it, and what tag categories are spiking.
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 FrontApp object, modeled and query-ready the moment you connect.
It runs on your real Front account (misrouted conversations, untagged threads, SLA exceptions 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 →