AI agents for business

Six roles out of the box. Each one comes with a persona, channels, tools and limits. The agents work inside the CRM: they see the customer record, the history and the deal stage, rather than trading messages detached from your pipeline. Any role can be renamed, retrained or replaced.

• AI sales agent

  Carries the customer from the first hello to a signed contract. Answers within seconds in any channel, qualifies the lead, comes back with follow-ups on its own and moves the deal through your pipeline — inside your CRM, not in a separate chatbot.

• AI recruiting agent

  Reads applications, runs screening, calls the candidate itself and conducts a technical interview with tasks and cases. Coordinates calendars, joins the call with a recording, and hands the hiring manager a finished report instead of a stack of CVs.

• AI customer support agent

  Closes routine tickets without escalation. It knows your product from your knowledge base, sees the customer's history, and knows when a conversation should go to a human — together with all the context, not a “please start over”.

• AI analytics agent

  Listens to calls, reads conversations, scores sentiment and assembles reports from your CRM data. In the morning you get a digest: what went up, what went down, why, and who to contact today.

• AI receptionist agent

  Finds a time, books the slot, sends the confirmation, reminds the day before, and reschedules when the customer cannot make it. This is work where losses come not from difficulty but from someone forgetting to call.

• AI CRM developer agent

  Need a new field, stage, report or automation — you describe it in words. The agent writes the change itself, shows a diff, runs the tests and ships it. One click to roll back.