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Agents for folk

folk is a collaborative CRM organized around contact groups, people, companies, deals, interactions, and notes. AI agents in Pump Up use folk as a relationship record to inspect mutual contact history, verify shared interactions, and draft outreach or partner briefs for authorized team member review.

4 related templates

When to use it

Founders, business development leads, and relationship managers using folk CRM who want structured agent assistance for introductions, nurture, and referral follow-through.

Example scenario

A founder reviews five contacts in a folk investor group who have not been contacted in six months. An agent inspects past interaction notes, flags a contact who recently changed roles, drafts a tailored check-in note referencing their prior discussion, and presents it to the founder for approval before any message is dispatched.

Getting started

  • Configure folk API key or export relevant contact groups and interaction logs
  • Map folk custom fields and group tags to corresponding playbook fields
  • Assign team member review roles for outreach drafts and status updates
  • Define record writeback permissions for notes and custom stage tags

Common questions

Can an AI agent write directly to folk CRM?

When API access is configured with write permissions, an agent can create notes, log tasks, or update permitted custom fields after owner approval. Without configured API write access, agents generate structured text and export summaries for manual entry.

Does folk automatically trigger Pump Up playbooks?

Playbooks run on Pump Up either on a recurring schedule, through configured webhooks from folk where supported, or by manual case initiation using an exported group or contact list.

Does using folk with Pump Up send automated emails without review?

No. Outreach drafts, partner briefs, and relationship notes require explicit human approval by the designated relationship owner before sending or updating external records.

How these workflows use your software

Warm outbound

Source records
Contact profiles, mutual connections, and group tags from folk
Agent work
Evaluate relationship strength and mutual context to verify genuine introduction path
Result
Tailored introduction note draft and background briefing
Human decision
Relationship owner approves message text and recipient selection

Nurture

Source records
Past interaction history, last contact date, and linked notes
Agent work
Identify timely conversation hooks and assess reconnect relevance
Result
Personalized reconnect draft citing specific historical context
Human decision
Account owner approves reconnect angle and follow-up timing

Referral follow-through

Source records
Referral source details, referee record, and initial introduction context
Agent work
Validate referral fit against business criteria and existing contact history
Result
Structured referral profile and proposed outreach plan
Human decision
Operator accepts referral case and confirms outreach path

Ecosystem opportunity review

Source records
Partner organization record, interaction logs, and pipeline signals
Agent work
Assess partnership alignment, mutual value, and timing against current business needs
Result
Comprehensive ecosystem opportunity brief and recommended next steps
Human decision
Partnership lead reviews brief and approves team handoff

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