item

item is an AI native customer relationship system designed to replace a company's existing CRM. It gathers context from more than 100 connected tools into one source of truth, where the team and AI agents work side by side, and the agents use that context to carry out customer work on their own rather than only store records. It is aimed at fast growing go to market teams across sales, support and customer success. The item Assistant takes plain language requests to update deals, find customers, build lists, set reminders and surface insights, and it can act across other tools, for example sending emails, updating Stripe, pulling notes or searching Slack, all from one conversation. Teams create agents by writing a simple document that describes a process; that document becomes an agent that executes the process without code or workflow builders. The workspace offers familiar tables, kanban boards and custom objects, with automatic data enrichment, lead discovery against an ideal customer profile, custom fields for people, companies and deals, a developer API, third party integrations and assisted migration from another CRM. Pricing is not published. The pricing page returns an error, and the site's calls to action lead to a waitlist survey rather than a self serve plan. Access is currently gated: new teams join a waitlist, while existing customers log in to the application at app.useitem.io.