Hugo AI

Hugo AI is a no code customer service agent that answers, actions and resolves support conversations using your own knowledge sources, with human escalation when needed. It connects to business tools through MCP, supports multiple underlying models and reports automation rates of 40 to 60 percent in published case studies.

Hugo AI is a customer service agent built on top of Crisp, the support platform behind it. It answers incoming conversations, works through multi turn requests with context, and resolves a share of them without a human touching the ticket. The vendor positions it for support and operations teams that want to cut queued volume without dismantling the human side of the helpdesk. Published case studies from AFS Foil, Emma and SpiderVO report automation rates in the 40 to 60 percent range, with the remainder routed to people. Setup is deliberately no code. A team uploads documentation, FAQs and other knowledge sources, tunes the response style, and sets routing rules. Hugo stays in sync with the helpdesk, company documentation and CRM so answers reflect current processes rather than a stale snapshot. Live data and actions come through connections built on the Model Context Protocol, which lets the agent look things up and complete a task instead of only describing it. For more involved logic, a visual builder handles drag and drop workflows such as ticket triage and escalation paths. Model choice is open: Claude, ChatGPT, Llama or a proprietary model can sit underneath, and the team keeps control of its data, tone and performance. Analytics track accuracy, outcomes and satisfaction over time. On the infrastructure side the vendor promises enterprise grade encryption, GDPR compliance and European hosting, with the agent able to hand off to a human with the full conversation attached when confidence drops. The natural comparison is with standalone support bots that answer from a knowledge base but stop short of taking action. Hugo's bet is that resolution, not deflection, is the useful metric, and the MCP layer is where that bet lives. Teams already on Crisp will find the path shortest; others should weigh whether the bundled helpdesk seats and the per conversation billing fit their existing stack. Pricing starts with a pay as you go rate and moves into bundled Crisp plus Hugo memberships.