Turn your customer data into the context your AI agents need to power your sales motion
Import and enrich people, companies, and conversations from emails, LinkedIn, calendars, calls, WhatsApp, and custom sources with our API
Connect people, companies, and deals to uncover relationship insights and build a unique relationship graph
Connect your AI agents to folk through MCP, so it works at the speed of agents and performs any relevant action in the system
folk uns dabeifolk , unseren gesamten Vertriebsprozess zu vereinfachen. Manchmal ist man von all den Aufgaben, die man erledigen muss, folk überfordert. Dass folk uns daran erinnert, welche Leads wir priorisieren sollten, hat alles verändert.“
„Die Kundenakquise kann viele Formen annehmen: Kontakt aufnehmen, sich auf einer Veranstaltung treffen, vorgestellt werden, Mundpropaganda … ‚ folk ‘ hilft uns dabei, all das zu erfassen.“
„Wir übernehmen viele verschiedene Aufgaben, und das ist in unserer Agentur auch notwendig. Mein CRM-System muss schlank und benutzerfreundlich sein. Deshalb sind wir von folk begeistert.“
„Ein zukunftsfähiges CRM sollte Aufgaben im Hintergrund erledigen. Ich gehe auf folk , um mir einen Überblick zu verschaffen, meine Boards anzusehen und zu prüfen, wie es um meine Pipeline steht – aber ich muss dem System nicht sagen, was es tun soll. Das ist das Schöne daran.“
folk einfach und flexibel genug, um sich mit der Art und Weise, wie wir als Team zusammenarbeiten, weiterzuentwickeln. Früher haben wir uns hauptsächlich auf Inbound-Marketing und Mundpropaganda verlassen. Jetzt folk auch bei der Akquise.“
A CRM for AI agents gives AI tools access to customer records and the context behind them. That includes who a contact is, who on your team knows them, and how the relationship has developed. In folk, agents connect to the workspace your team already uses, so they can work with shared customer information.
The quality of an agent’s work depends partly on the information it can access. Contact details alone rarely tell the full story. A good CRM brings together conversations, deal updates, and relationship history, then gives agents reliable ways to use that information. It also needs clear access controls, so connecting an agent doesn’t mean opening every record to everyone.
Yes. Shared customer context helps agents work across relationships that involve several people on your team. One teammate may have made the introduction, while another handled the latest conversation. Bringing those details into folk gives connected agents a fuller picture, which can help with meeting preparation, account handoffs, and follow-up planning.
Relationship signals help agents judge what deserves attention. Knowing when someone last spoke to a contact can help avoid an unnecessary follow-up. Knowing which teammate has the strongest connection can help find a route to an introduction. Email opens and clicks can add context, though they should be considered alongside the wider conversation.
You can connect through MCP, the folk API, or webhooks, depending on what you want to build. MCP lets compatible AI tools work directly with your folk workspace. The API supports custom integrations, while webhooks let a workflow respond when something changes in the CRM, such as a contact being created or a deal being updated.
An agent connected to folk can search for contacts, update records, and move deals through a pipeline. You can also build workflows around tasks such as preparing an account brief or finding contacts that may need a follow-up. What an agent can do depends on the connection you use, the available CRM data, and the account’s permissions.
For MCP connections, the AI tool inherits the workspace access of the folk account that authorizes it through OAuth. Review that account’s permissions before connecting. API integrations use API keys, which should be kept private. If an agent handles sensitive updates, configure approval steps in its workflow so your team can review those actions before they run.
