Give a sales team shared context for every relationship

What is folk 2.0?

folk is a CRM for managing sales relationships from prospect research through ongoing conversations and deals. Its official site describes contact enrichment and qualification, communication across channels, calling and recording with an existing number, and shared relationship context. AI assistance supports tasks such as analysis and follow-up preparation. The product's practical role is maintaining enough shared memory that a teammate can understand the relationship and act without reconstructing its history.

Capture the information that changes the next action

Begin with the contacts and relationship stages that matter to the team. Record relevant conversations, current needs, commitments, and ownership. Enrichment can add context, but verify details before relying on them in a message. A useful CRM record should make the next action clearer, not simply accumulate every available fact about a person or company.

Use the shared history before drafting follow-up

Calls and messages can help explain what has already been discussed and where the conversation stopped. Review that history before asking an assistant to prepare a response or update a task. Keep pipeline stages tied to observable progress, such as an agreed next meeting. Shared visibility is most valuable when responsibility remains clear and colleagues can distinguish a recorded fact from an AI interpretation.

Features to explore

• Contact prospecting and enrichment
• Multichannel relationship history
• Calling and conversation review
• Shared pipelines and AI assistance

Who is folk 2.0 for?

Relevant to sales teams that need a shared view of contacts, conversations, and deals. It fits collaborative work where relationship context changes hands and the next action should remain clear even when a different teammate takes over.

Before you get started

Confirm connected-account permissions, call-recording consent, and data-retention settings. Review enriched details and AI summaries before acting on them, and avoid treating an automated interpretation of a conversation as an agreed customer commitment.