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Decagon

by Decagon

An AI concierge that resolves customer support at enterprise scale.

Pros

  • Flexible usage-based model with volume discounts
  • Strong enterprise traction and high-volume scalability
  • No per-seat fees keeps costs tied to actual usage

Cons

  • No published pricing; ~$50K/year base platform fee plus usage
  • No free trial, free plan, or self-serve signup
  • Enterprise sales process required; high total contract value

✓ Where it shines / best for

  • Enterprises and high-growth companies automating support at scale
  • CX teams wanting autonomous, brand-controlled AI agents
  • Companies with complex workflows needing action execution

✕ Not the best fit for

  • Small businesses on a fixed low budget (high platform fee)
  • Buyers wanting transparent self-serve pricing
  • Basic FAQ-only deployments without integrations

Features

  • ✓ AI agents that autonomously resolve customer support conversations
  • ✓ Agent Operating Procedures (AOPs) to govern agent behavior
  • ✓ Omnichannel: chat, email, voice, SMS
  • ✓ Knowledge-grounded responses with action execution into systems
  • ✓ Admin Dashboard with no-code agent configuration and testing
  • ✓ Real-time analytics and conversation insights
  • ✓ Enterprise integrations with helpdesks and internal APIs
  • ✓ Guardrails, QA, and human handoff controls

Pricing

PlanPriceBillingNotes
Platform fee + usage~$50,000per year (platform fee)Annual platform fee plus per-conversation or per-resolution usage. Median annual spend ~$400k. All custom-quoted; contact sales
Per-conversation~$0.99per conversationMost common model; flat rate per incoming conversation with volume discounts
Per-resolutionCustomper resolutionCharged only when the AI agent fully resolves an issue without human handoff

Pricing verified from the official source. Prices change often — confirm on the vendor's site before buying.

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