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 onsfolk onze hele verkoopstroom te vereenvoudigen. Soms raak je overweldigd door alle taken die je moet uitvoeren. Het feit dat folk ons folk herinnert welke leads prioriteit hebben, is een echte gamechanger.”
“Het werven van nieuwe klanten kan op verschillende manieren: contact opnemen met iemand, elkaar ontmoeten op een evenement, via een introductie, mond-tot-mondreclame… Met ‘ folk ’ kunnen we dit allemaal vastleggen.”
“We vervullen allerlei verschillende rollen, en bij ons bureau is dat ook nodig. Mijn CRM-systeem moet gestroomlijnd en gebruiksvriendelijk zijn. Daarom zijn we zo enthousiast over folk.”
“Een toekomstbestendig CRM-systeem zou taken op de achtergrond moeten uitvoeren. Ik ga naar folk om mijn inzichten te bekijken, mijn borden te bekijken en te zien hoe het met mijn pijplijn staat, maar ik hoef het systeem niet te vertellen wat het moet doen. Dat is juist het mooie ervan.”
"folk eenvoudig en flexibel genoeg om mee te evolueren met de manier waarop we als team samenwerken. Vroeger vertrouwden we vooral op inkomende aanvragen en mond-tot-mondreclame. Nu folk ons ook bij het werven van nieuwe klanten."
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.
