Hugo

Hugo is an AI customer service agent built around the Crisp support suite. It automates large portions of customer conversations across up to 10 channels, handling everything from simple FAQs to multi-turn, complex workflows, while always being ready to loop human agents in when needed. Hugo connects to helpdesks, CRMs, billing systems, and internal tools via the Model Context Protocol (MCP) so it can actually read and write data—not just chat. It works with modern large language models (Claude, ChatGPT, Llama, or a custom model), and puts a strong emphasis on reliability, transparency, and European-grade data protection for digital support teams.

• Multi‑channel AI agent: Operates on up to 10 channels, maintains conversation context over multiple turns, and can handle both simple FAQs and more complex, multi‑step workflows.
• Live data access via MCP: Uses the Model Context Protocol to connect to your CRM, helpdesk, or billing system, allowing Hugo to look up orders, update records, and complete tasks—not just respond with text.
• Model agnostic AI brain: Works with Claude, ChatGPT, Llama, or your own custom model, so teams can choose the best balance of performance, cost, and compliance.
• No‑code workflows and analytics: Provides a visual builder for routing, triage, and escalations, plus built‑in analytics that track accuracy, automation rate, and customer satisfaction over time.
• Security and compliance focus: Stores and processes data on European servers, with encryption, strict access controls, and GDPR‑compliant processing – designed for teams with strict regulatory requirements.
• Human‑in‑the‑loop by design: Escalates gracefully, passing full conversation context to human agents so they never have to start from scratch when picking up a complex case.

1. Set up your Crisp workspace – Hugo lives inside the Crisp ecosystem, so you first create or log in to your Crisp account and access the Hugo integration.
2. Upload knowledge and define tone – Add your help documentation, FAQs, and any internal knowledge base. Define the agent’s tone of voice, reply rules, and brand guidelines through the dashboard.
3. Connect your tools via MCP – Use the Model Context Protocol to link Hugo with your CRM, helpdesk, billing system, or internal databases so it can retrieve and write data during conversations.
4. Build automations visually – Configure routing rules, triage logic, and escalation paths in the visual workflow builder. No coding is required.
5. Test in a live‑style widget – Use the built‑in testing widget to simulate customer conversations, verify answers, and fine‑tune behavior before going live.
6. Go live and monitor – Deploy across your chosen channels and use the analytics dashboard to track accuracy, automation rates, CSAT, and volume, adjusting as needed.

Hugo’s pricing is tied to the Crisp membership tiers, with AI conversation fees applied on top. The “Pay as you go” plan charges $0 per month but incurs a per‑conversation AI cost (around $0.05 per conversation, with a small bundle of AI credits included). The Mini plan at $45/month pairs the Crisp Mini shared inbox with Hugo for smaller teams. The Essentials plan at $95/month adds more capability for growing support teams, while the Plus plan at $295/month targets larger operations that want advanced features and higher conversation volumes included. All plans are usage‑based for AI consumption beyond any included credits. For the most accurate and current pricing, refer to the official Crisp website or the Hugo product page.

• Crisp web dashboard – The primary hub for configuring Hugo, building workflows, and viewing analytics.
• Crisp chat widget (web) – The customer‑facing interface that embeds directly into websites, where Hugo interacts with visitors.
• Mobile SDKs – Hugo is accessible through the Crisp mobile SDKs for iOS and Android, so it can serve customers inside native apps.
• MCP connectors / API – Integration points for connecting external business tools; while Hugo is centered on the Crisp ecosystem, its MCP‑based connections can bridge data from other platforms.

• Keep documentation up to date: Hugo’s effectiveness depends heavily on the quality and freshness of your knowledge base; outdated articles lead to inaccurate answers.
• Start with high‑volume, low‑complexity queries: Begin by automating simple FAQ‑style questions, then gradually expand to more complex workflows as you gain confidence.
• Monitor analytics religiously: Use the built‑in dashboards to spot knowledge gaps, refine routing rules, and ensure automation rates don’t come at the expense of customer satisfaction.
• Design clear escalation triggers: Define exactly when Hugo should hand off a conversation—ambiguous queries, sentiment thresholds, or specific intent signals—so customers aren’t stuck in a loop.
• Leverage MCP connections thoughtfully: Connect only the systems Hugo really needs to read from or write to; this minimizes security exposure and keeps response times fast.
• Test with real scenarios: Involve agents in the testing phase to uncover edge cases and tune the model's behavior before it faces live customers.

• Support leaders at mid‑sized SaaS and B2B companies who want to scale support without linearly growing headcount.
• E‑commerce and D2C customer service teams dealing with repetitive order, shipping, and return inquiries.
• Marketplace operators that must support both buyers and sellers across multiple languages and time zones.
• Fintech and subscription‑based businesses needing 24/7, accurate answers for billing and account issues with strong compliance.
• IT service desks inside organizations that want an internal self‑service layer for employees.
• Founders and lean teams looking to offer professional‑grade support before hiring a dedicated agent.