Intercom Fin vs Sellio
Detailed side-by-side comparison to help you choose the right tool
Intercom Fin
🟢No CodeCustomer Support
Intercom Fin is an AI customer-service agent that answers and resolves support questions across chat, email, SMS, WhatsApp, social channels, and voice.
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Starting Price
$0.99 per Fin outcomeSellio
Customer Support
A customer-support workspace combining a shared inbox, website chat, knowledge-grounded AI agents, automations, ticketing, analytics, and human handoff.
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Starting Price
Free is $0. Annual-billing rates listed are Mini $36/month, Essentials $76/month, and Plus $236/month; Enterprise is custom. AI top-ups cost $5–$250/month, and prices exclude VAT.Feature Comparison
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Intercom Fin - Pros & Cons
Pros
- ✓Outcome-based billing ties the AI charge to a completed resolution instead of every message
- ✓Supports both simple knowledge answers and controlled multi-step Procedures
- ✓Works across several digital channels and offers a voice option
- ✓Can be adopted with a supported external helpdesk instead of forcing an immediate migration
- ✓Testing and analysis tools give support operators a concrete improvement loop
Cons
- ✗At $0.99 per outcome, high-volume use can become expensive before seat and channel charges
- ✗Intercom helpdesk pricing combines seats, outcomes, optional add-ons, and some usage fees
- ✗Voice pricing is custom rather than publicly listed
- ✗Resolution quality depends on clean knowledge, explicit policies, and ongoing transcript review
- ✗The vendor's outcome definition and minimum commitment require careful contract review
Sellio - Pros & Cons
Pros
- ✓Free plan includes two seats and core chat functionality
- ✓Public plan limits clarify seats, agents, channels, and AI usage
- ✓Human handoff and knowledge grounding support controlled automation
- ✓Integrated ticketing, analytics, and voice are available as teams grow
Cons
- ✗Displayed paid prices require annual billing
- ✗AI credit top-ups can make high-volume costs variable
- ✗Mini has limited channels and automations
- ✗Answer quality depends on current, unambiguous knowledge-base content
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