Migrating from Intercom to Crisp (and from Fin AI to Hugo)? You're in the right place.

Most teams don’t switch tools because they lack features. They switch because something stops scaling, whether it’s cost, complexity, or how AI fits into their workflow.

If you're exploring Crisp as an alternative to Intercom, this guide will help you understand what actually changes, and how to make the transition smoothly.

Understanding the model 📚

Crisp and Intercom: a familiar structure

At a high level, Crisp and Intercom follow a very similar structure.

Intercom is built around its customer engagement platform, with Fin AI as its AI layer.

Crisp is a complete customer support platform, with Hugo as its AI agent.

In both cases, AI operates across multiple channels such as live chat, email, and messaging apps like WhatsApp.

If you're already using Intercom, you already understand most of how Crisp works. You're not starting from scratch.

Positioning: where things actually change 🧠

Automation vs. Augmentation

While the structure is similar, the philosophy behind it is different.

With Intercom, Fin is primarily designed to resolve conversations automatically and reduce the number of tickets handled by humans.

With Crisp, Hugo is designed to work alongside your team. It assists agents, handles repetitive tasks, and ensures smooth handoffs without forcing full automation.

The shift is subtle but important:

• Intercom optimizes for automation efficiency
• Crisp optimizes for control and collaboration

Before the conversation even starts

Both platforms are omnichannel.

The real difference lies in what happens before a conversation begins.

With Intercom, the focus is on handling conversations efficiently once they start.

With Crisp, more emphasis is placed on resolving questions upfront. The chat widget includes a search bar and direct access to your knowledge base, allowing users to find answers instantly.

This shifts part of your support from reactive conversations to proactive self-service.

Pricing 💰

With Intercom, pricing is built around two components:

• per-seat plans
• usage-based AI (Fin)

Plans start around $39/seat/month, and Fin is billed at $0.99 per resolved conversation.

In practice, your bill depends on:

• how many agents you have
• how much your AI is used
• how effective it is

Costs scale in multiple directions, making them harder to predict.

With Crisp, pricing is structured differently.

Hugo is included directly in your plan, so you can start using AI without introducing a separate pricing layer.

Crisp plans:

• Free — $0/month (2 seats)
• Mini — $45/month (4 seats + $5 AI credits)
• Essentials — $95/month (10 seats + $25 AI credits)
• Plus — $295/month (20+ seats + $75 AI credits)

Average AI cost: $0.05 per conversation

ROI & impact 📈

This difference in pricing and philosophy directly impacts your support performance.

With Intercom:

• AI adoption is often slower (separate decision, separate cost)
• costs increase as automation succeeds
• teams tend to optimize usage carefully

With Crisp:

• AI can be tested immediately
• adoption is progressive
• no friction to scale usage

In practice, teams often see:

• faster AI adoption
• reduced cost per conversation
• improved support consistency
• less internal friction around pricing decisions

The shift is not just financial, it’s operational.

Objections you might have 🤔

“Is Intercom more advanced?”

Intercom is a mature and powerful platform, especially for large-scale automation.

Crisp takes a different approach: more flexibility, more control, and tighter integration with your product.

“Will I lose features?”

Both platforms cover similar core needs: shared inbox, CRM, campaigns, knowledge base, analytics.

The difference is less about missing features, and more about how they are structured and used.

“Is Hugo as good as Fin?”

Hugo relies on the latest generation of large language models (Anthropic, OpenAI, Google, Mistral, and Crisp’s own models), which means the core capabilities are constantly evolving and improving.

In practice, the real difference doesn’t come from the model itself, but from how it’s configured:

• how your knowledge base is structured
• how your data is connected
• how the AI is guided and trained

When properly set up, Hugo can reach very strong performance.

Based on our observations, teams typically automate around 65% of their conversations, while maintaining a combined human + AI CSAT that is +0.3 points higher than human-only support.

In that sense, Hugo is not less capable, it’s simply more flexible, and its performance depends more directly on how you configure it.

“Will this scale with my team?”

Yes, but differently.

Intercom scales through automation.

Crisp scales through a combination of:

• AI
• self-service
• human support

When Crisp is a better fit 🎯

Crisp tends to be a better fit if:

• you want predictable pricing,
• you want to adopt AI progressively,
• your team values control over workflows,
• you are building a product-led support experience,
• you want tight integration with your product via API / SDK.

It’s especially relevant for startups and scale-ups that want to move fast without adding complexity.

Built for developers and product teams ⚙️

Crisp is designed to integrate deeply with your product, not just sit on top of it.

With a fully open REST API and a flexible JavaScript SDK, you can push data, trigger events, and customize the support experience in real time.

This gives you full control over how your support system behaves.

For example, instead of simply suggesting help articles, Hugo can:

• check an order status directly from your backend
• update a subscription or user settings
• retrieve real-time, user-specific data

On top of that, Hugo supports MCP (Model Context Protocol), allowing the AI to connect to external tools and execute real actions.

In practice, this means your support is no longer limited to answering questions.

It becomes an extension of your product.

Instead of redirecting users elsewhere, you can resolve issues directly inside the conversation.

How to migrate your data 🗂️

Migrating from Intercom to Crisp is straightforward. Most of your data can be transferred in just a few steps, depending on how your current setup is structured.

Importing your contacts

When exporting contacts from Intercom, you typically obtain a CSV file. This file can be directly imported into Crisp CRM.

Steps:

• Go to Crisp CRM (Contacts)
• Click on "Actions"
• Select "Import contact profiles"
• Map your CSV fields
• Launch the import

This allows you to quickly restore your user base, including custom attributes such as plan, role, or company data.

If you want to go further, you can also use the REST API to sync user data directly from your backend and keep it updated in real time.

👉 Detailed guide

Importing your knowledge base

Crisp allows you to import your existing help center automatically into the Knowledge Base.

Steps:

• Go to the Knowledge Base section
• Click on "Actions"
• Select "Import articles"
• Enter the URL of your existing help center
• Start the import

Crisp will automatically fetch and structure your content, allowing you to reuse it immediately with Hugo for AI-powered responses.

👉 Learn more

Importing conversations

Conversation history can also be imported using the API and the official migration tool:

👉 https://github.com/crisp-im/crisp-import-conversations

This is especially useful if you want to preserve historical context for your support team or train your AI agent on past interactions.

Ready to make the switch?

Switching from Intercom to Crisp is not about changing tools.

It’s about changing how your support scales:

• more control
• more flexibility
• more predictable costs

The question is no longer whether to use AI in your support.

It’s how easily you can adopt it without adding complexity.

👉 Discover Hugo

👉 Explore Crisp

Updated on: 19/03/2026