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§ Agent · Gong

The Gong data agent that acts the way you would.

It watches your Gong conversation data alongside your CRM and pipeline, on a schedule you set or whenever fresh data lands. When something needs attention, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #revops-alerts
⚠️ Pipeline coverage below 2.8x, 6 open deals have gone silent for 10+ days

Call volume on deals closing this quarter dropped 31% week-over-week. Six deals worth $389K combined have had zero recorded calls in the last 10 days, against a baseline of at least one call per week at this stage.

Review & approve Dismiss
Gong Calls + Call Parties · joined to Salesforce Opportunities · audit log

How an agent works

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.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

PipelineACROSS YOUR SOURCES

Match your call activity to your pipeline and forecast

It joins Gong call data to your CRM opportunities so you can see which deals have real conversation momentum and which have gone quiet. When pipeline coverage slips or deal activity diverges from what the forecast assumes, it flags the gap before the commit call, not after.

CallCall Party
Rep coaching

Surface rep coaching signals from conversation patterns

When a rep's talk ratio, question rate, or monologue length drifts outside the team baseline, it flags the pattern with the specific calls that drove it. You get the signal before it shows up as a missed quarter.

User Interaction StatsUser Activity StatsUser
Deal risk

Catch deals going dark before they slip

It tracks call frequency and participant coverage on every open deal. When a deal that should be in active conversation goes silent, or when the right stakeholders stop showing up, it surfaces the risk with enough context to act on it.

CallCall PartyCall Transcript
Custom

Run any Python it needs to get the job done

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.

Why not just build it yourself?

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:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Gong object, modeled and query-ready the moment you connect.

Call
salesengagement
Call Transcript
salesengagement
Call Party
salesengagementcustomer
User
salesoperations
User Interaction Stats
salesoperations
User Activity Stats
salesoperations
Workspace
operationssales
Library Folder
operationssales

It runs on your real Gong account (internal calls, test recordings, partial transcripts and all), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

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.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

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 →

Get started

  1. 1Connect Gong, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Gong data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.
Those surface conversation analytics inside Gong, when you look. This watches continuously, reasons across Gong plus your CRM and pipeline data, and hands off to Fi to investigate why a deal is stalling, so you find out before the forecast call, not during it.

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