Deepdesk

Deepdesk is built around a simple observation: customers are not machines, so support technology should not treat them like one. Rather than replacing agents with a chatbot, Deepdesk augments the human in the seat. It watches the conversation taking shape and surfaces the next message, the right answer or the next best action directly above the reply field, tailored to the individual agent's writing style and the customer's history.\n\nThe platform works across the channels support teams actually run: chat, email and voice. It connects to the customers' conversation data and to the systems agents already use, and the vendor positions integration as a matter of plugging into any CRM rather than rebuilding the stack. Beyond suggestions, it takes on the repetitive work behind a conversation, so that knowledge that normally lives in documentation, previous tickets or senior colleagues' heads shows up at the point of need instead of in a separate window.\n\nDeepdesk has been deployed at scale in European contact centres; published customer stories include Ziggo, whose team noted that Deepdesk analysed over two million chats and emails and now helps employees answer faster, and Vattenfall, where agents rely on it to handle volumes they otherwise could not. The company reports that autocomplete and real-time suggestions can lift typing speed by around 50%, and that the wider effect shows up in faster onboarding, lower agent churn and shorter customer waiting times. Both a browser extension for agent desktops and a broader platform deployment are available, with pricing quoted on request.