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 cifolk a semplificare l'intero flusso delle vendite. A volte ci si sente sopraffatti da tutte le attività da svolgere. Avere folk ci ricorda quali sono le priorità è stato determinante."
“La ricerca di nuovi clienti può assumere diverse forme: contattare qualcuno, incontrarlo a un evento, farsi presentare, il passaparola… ‘ folk ’ ci aiuta a tenere traccia di tutto questo.”
“Ricopriamo molti ruoli diversi e, nella nostra agenzia, è proprio necessario. Il nostro sistema CRM deve essere snello e facile da usare. Ecco perché adoriamo folk.”
“Un CRM a prova di futuro dovrebbe svolgere le attività in background. Vado su folk per ottenere le mie analisi, dare un’occhiata alle mie bacheche, vedere come sta andando la mia pipeline, ma non devo dirgli cosa fare. È proprio questo il bello.”
"folk semplice e flessibile abbastanza da evolversi insieme al modo in cui collaboriamo come team. Prima ci affidavamo principalmente al passaparola e alle richieste in entrata. Ora folk anche nella ricerca di nuovi clienti."
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.
