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§ Agent · Salesforce

The Salesforce data agent that acts the way you would.

It keeps an eye on your Salesforce pipeline alongside your billing and marketing sources, on a schedule you set or whenever fresh data lands. When a deal slips or the forecast drifts, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #revops-alerts
⚠️ Q3 commit is $480K over what's actually closed-won in billing

11 deals marked Closed Won in Salesforce have no matching paid invoice, $480K of commit that hasn't turned into cash. Most slipped past their close date last week.

Review & approve Dismiss
Salesforce Deal + Company · reconciled to Stripe invoices · 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

ReconcileACROSS YOUR SOURCES

Tie your closed-won pipeline to the revenue that actually landed

It reconciles your Salesforce deals against the invoices and payments in your billing system, and flags the commit that closed in the CRM but never turned into cash. You walk into the forecast call knowing your number ties out, instead of defending a pipeline that drifted from reality.

DealCompany
Slippage

Catch stuck and slipping deals before the forecast breaks

When a deal sits past its close date or stalls in stage, it tells you which deals are at risk and how much of the quarter is exposed, reads the recent activity to see why it stalled, and lines up the next step for you to approve. You find slippage while there's still time to work it, not on the last day of the quarter.

DealActivity
Hygiene

Keep the pipeline clean enough to trust the report

It watches for the hygiene gaps that quietly break your reporting, duplicate companies, contacts with no owner, deals missing an amount or a close date, and tracks who changed what in the records that matter. The number on your dashboard stays defensible because the data under it stays clean.

CompanyContactLeadChange History
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 Salesforce object, modeled and query-ready the moment you connect.

Deal
revenue_financesales
Company
customersales
Lead
customermarketingsales
Contact
customersalesmarketing
Activity
salesengagement
User
salesoperations
Change History
salesoperations

It runs on your real Salesforce org (custom fields, half-filled records, the duplicate accounts reps keep creating), 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 Salesforce, 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 Salesforce 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 reason over Salesforce in isolation, inside Salesforce. This watches continuously, reconciles your pipeline against the billing and marketing data that live outside the CRM, and hands off to Fi to investigate why a number moved, so you catch the gap before the forecast call, not after.

Your answer engine
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Book a 30-minute call and watch us build your first dashboard live, with your own data.