
Hugo is an AI agent purpose-built to offload companies from repetitive support queries. It resolves conversations and automates tasks end-to-end, safely. Built by the team behind Crisp, Hugo brings production-grade AI support to any business, without fragile workflows or per-resolution fees. It connects to your knowledge base, CRM, and business tools, then handles routine inquiries autonomously while escalating complex issues to humans with full context.
Unlike basic chatbots, Hugo maintains context across entire conversations. It remembers what was said earlier, so customers don't have to repeat themselves, and resolutions feel natural and complete.
Hugo connects to your knowledge base, CRM, and business tools through Model Context Protocol (MCP). This means it can access live data, perform actions, and fully resolve conversations on its own.
When Hugo encounters something it can't handle, it knows exactly when to involve a human — and hands over the full conversation context. No dropped threads, no frustrated customers.
Anyone on your team can train and deploy Hugo in minutes using an intuitive no-code interface. No developers required, no headaches, just simple setup and immediate results.
"Hugo handles the routine, learns from outcomes, and involves humans if required."
This autonomy-with-responsibility philosophy sets Hugo apart from rigid chatbot scripts. It's not about replacing people — it's about freeing them. Hugo resolves up to 60% of support tickets end-to-end, learns from every interaction to improve future answers, and automatically syncs with your helpdesk, documentation, and CRM so your knowledge stays current without manual updates.
You're tired of AI demos that look good in slides but break in real conversations. Hugo is built for the real world: it's grounded in your own data (no hallucinated guesses), hosted on European servers, and GDPR-compliant by design. If you want an AI agent that your team can actually trust, control, and deploy in under five minutes — without per-resolution fees — Hugo is worth a serious look.
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