Integration

Automate Folk

Someone on the team is about to cold-email a company where a colleague already has a warm relationship nobody wrote down.

A shared network is only shared if the notes exist. AI agents keep your Folk people and companies current, turn what you tell them after a meeting into a note on the right record, and surface the reminders coming due — with your approval before any record changes.

agentorg.run / folk
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You

Message Yara
What gets handled

The Folk upkeep nobody wants to own

Records go stale because keeping them current is boring, not because it's hard.

Before an outbound push, your agent searches people and companies and reports the existing relationships, with the notes behind them.

Tell your agent what happened and it writes the note onto the right person and company, so the context survives past your memory of it.

Your agent reads reminders across the workspace and tells you which are due, so a follow-up you set two months ago actually happens.

Example jobs

Where this pays for itself first

Check who you already know

Before an outbound push, your agent searches people and companies and reports the existing relationships, with the notes behind them.

Get the meeting written up

Tell your agent what happened and it writes the note onto the right person and company, so the context survives past your memory of it.

Catch the reminders coming due

Your agent reads reminders across the workspace and tells you which are due, so a follow-up you set two months ago actually happens.

Guardrails

You approve anything a customer would notice

Looking things up is free. Changing a record, moving money, or sending a message is not.

  1. 1New people and companies are shown before they are created, so duplicates get caught first.
  2. 2Record updates display the current value next to the proposed one.
  3. 3Deleting a person, company, or note always needs you.
How it works

Three steps, no implementation project

This is not a migration. Connect the account you already have and start handing over tasks.

Step 1

Connect Folk

Sign in once. Your agent picks up your existing records, fields, and naming — you don't restructure anything to start.

Step 2

Hand over a job, not a rule

"Chase the overdue ones" is enough. The agent works out which records qualify in Folk and what each one needs.

Step 3

Approve what leaves the building

Every write and every outbound message is queued with the reasoning behind it. You approve, edit, or reject in one click.

Actions

What your agent can do in Folk

  • Search people and companies before anyone starts from scratch
  • Create and update person and company records
  • Write a note onto the right record after a conversation
  • Read groups to see how the network is organised
  • Surface reminders that are coming due
Why AgentOrg

Better than a spreadsheet and a reminder

Most teams cover this with a manual habit that breaks the first busy week. Here's the alternative.

Doing it manually

Every record, reply, and update in Folk is on you — and the queue never stops growing.

With AgentOrg

Your agent does the repetitive Folk work and you just approve what matters.

Building it yourself

Wiring up your own Folk automation means code, hosting, credentials, and ongoing maintenance.

With AgentOrg

AgentOrg is fully managed — connect Folk and your agent is working in minutes, nothing to maintain.

Generic automation tools

Rule-based tools fire blindly — no judgment, no context, and no approval step before they act.

With AgentOrg

Your agent understands your Folk data, drafts the right action, and waits for your sign-off.

FAQ

Folk questions, answered

What people ask before putting an AI agent to work — answered straight.

People, companies, and notes can all be created and updated by an agent working from what you tell it. The value is that writing up a conversation stops competing with your next meeting for attention, so the note actually gets made.

Ready to automate Folk?

Connect your tools, put an agent to work, and approve what matters. Free to start.