Supportifier

A customer asks when the parcel will arrive, and the chatbot answers with a delivery date it made up. That is the known weak spot of AI chatbots in customer service: now and then they invent an answer, such as that date or a return rule. Supportifier lets its AI reply only from articles your team has approved. Before a reply goes out, it checks dates, terms and links against the source. A question the source cannot answer goes to a person by live chat or as a ticket.

The articles come from material you already have, for example documents and past tickets. The Supportifier team builds the knowledge base with you during onboarding. Customer messages from email, chat, forms, phone, WhatsApp, Messenger and Instagram land in one shared inbox. There you can limit the AI to drafts that a person sends. You can also switch on automatic replies per category. Before that, the AI writes replies without sending them for a while, in what Supportifier calls shadow mode.

Most connections are for online shops: with Shopify or WooCommerce connected, the AI can read an order. If you allow it, the AI can also cancel the order or change the address, and Supportifier logs every action.

The security page says draft answers come from an Anthropic language model. It runs with zero data retention, which means the model provider keeps none of the data. The help centre's own articles about the product are written in Swedish.