All use cases

CRM data sync

A CRM that reflects what customers actually do.

An agent computes usage from your database, joins it with billing health and support volume, and writes the result onto the account record every night.

How it works

Three steps to a standing task

  1. Step 01

    Connect the systems

    Your database holds usage. Stripe holds billing. Your support tool holds sentiment. One agent holds all three connections at once.

  2. Step 02

    Define health in plain English

    Describe what an at-risk account looks like and what expansion looks like. The agent computes the scores in its sandbox and explains its reasoning in a note.

  3. Step 03

    Write it back every night

    Fields update on the account record, owners see the change, and every write is traceable to the run that made it.

The run

What the agent actually does

Every step below is a real tool call: the agent reaches for the API it needs, reads what it finds, and acts.

Nightly at 1:00am

Nightly, sync product usage, billing health, and support volume into the CRM as account health fields.

  1. postgres·compute 30-day usage per account
  2. stripe·read subscription and payment health
  3. plain·count open threads per account
  4. code·score health and map to tiers
  5. attio·update 480 account records with a note

480 accounts synced

  • 31 moved into `at risk`
  • 18 flagged as expansion candidates
  • $38k ARR sits in the at-risk tier
  • Each record carries a note explaining the score

Reach

The tools this agent touches

Each one connects once, and the agent gets its complete API.

This task belongs to Sales & RevOps. See the rest of what that team hands off.

FAQ

Questions, answered

Put an agent on crm data sync.

Describe the task, attach a trigger, and let it run around the clock.