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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Pricing
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
No public pricing
Free trial available
Free: $0
Pro: $29/mo ($39/mo monthly)
Unlimited: $99/mo ($129/mo monthly)
Free: Free
Mini: $45
Essentials: $95
Plus: $295
Enterprise: Unique pricing
No public pricing
Core features
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
- ✦Live chat
- ✦Chatbots
- ✦Multi-channel messaging
- ✦Knowledge base
- ✦Integrations & API
- ✦Omnichannel Team Inbox
- ✦AI Chatbot
- ✦CRM
- ✦Knowledge Base
- ✦Automations
- ✦Campaigns
- ✦Ticketing System
- ✦Multi-model AI support
- ✦Cross-platform availability (iOS, macOS, Windows, Linux)
- ✦Local data storage for privacy
- ✦Personalized knowledge base integration
- ✦AI drawing
- ✦AI translation
- ✦Built-in AI assistants
Use cases
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
- →Sales: Increase sales by talking to customers in real-time.
- →Support: Help customers faster and solve their problems quickly.
- →Marketing: Automate lead qualification and collect feedback.
- →Customer support across multiple channels
- →Automating sales pipelines using bots
- →Retargeting customers with targeted emails and in-app messages
- →Centralizing customer conversations from various channels
- →Building AI-powered chatbots for customer support
- →Creating a knowledge base for self-service support
- →Sending automated email and chat campaigns
- →Improving work and learning efficiency with AI assistance
- →Creating AI-generated images
- →Translating text
- →Building a personalized AI knowledge base from local files and web pages
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