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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.

Intercom logo
Intercom
✓ verifiedPaid

AI-first customer-service helpdesk built around the Fin AI agent, for support teams handling omnichannel conversations.

3.1M visits/mo
4.3M visits/mo7.1K saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pricing

No public pricing

No public pricing

Free trial available

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
Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Core features
  • Fin AI agent for customer service
  • Omnichannel agent inbox
  • AI-assisted ticketing
  • Copilot agent assistant
  • AI conversation insights and scoring
  • No-code automations
  • 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
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
Use cases
  • Automating customer support with AI
  • Assisting human agents in real time
  • Routing and resolving tickets
  • Analyzing support quality and trends
  • 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
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
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