Denser

Quick answers

What is an AI agent for customer support?

An AI agent for customer support understands customer requests, retrieves answers from approved help center and documentation, and decides whether to answer, take an action, or hand the conversation to a person. Denser cites the source behind every answer and opens a helpdesk ticket with full context when the agent should not resolve the request on its own.

How is it different from a rule-based chatbot?

A rule-based chatbot follows a decision tree someone wrote by hand, so it only handles anticipated paths. An AI support agent retrieves the relevant passage from your content and composes an answer, which means it handles phrasings nobody scripted and improves as you add documentation instead of as you add branches.

Do I need a separate helpdesk tool?

No. Denser combines an AI support agent with an integrated helpdesk. Escalated conversations become tickets your team can assign, track, and close in the same product, so nothing is exported to a second vendor and no context is lost in the move.

Can an AI support agent take actions?

Yes. Denser's actions let the agent call your own API, book a meeting on your Cal.com calendar, look up invoices and subscriptions in Stripe, post a request to a Slack channel, and search products, check orders, cancel orders, or request returns in Shopify.

How do I control what the agent does in multi-step cases?

Write a playbook: a step-by-step procedure for one situation, such as a return request or a billing question, built from Say, Do and If blocks. The agent follows the steps in its own words and runs the actions you chose. Changes to an order wait for the customer's confirmation.