Leverbot

Leverbot targets the repetitive side of customer service: the routine questions that consume agent time and slow down response. Instead of a rigid scripted bot, it uses a generative AI model trained on the documents a company already owns. You upload site content, product PDFs, spreadsheets, even audio and video, and the bot answers from that material in its own words.

The platform is built to be assembled quickly. After uploading sources, you customise branding and behaviour in a drag-and-drop interface, then embed the chatbot on your website with a snippet of code. Bots can also be routed into messengers and live chat tools, so a single installation can cover several customer touchpoints. Because the model is generative, it copes with the varied ways real customers phrase the same question, which is where rule-based bots usually stumble.

On top of the chat layer sits a reporting product. Leverbot's dashboard consolidates conversation data into recurring insight reports covering KPIs and trends, so support managers can see what customers actually ask about and where the bot succeeds or fails. Marketing positions the outcome as up to 40% savings on support costs and up to 50% higher engagement through instant, always-on replies, though those figures are vendor claims and will vary by business.