AIカスタマーサービスエージェント — チャット・メール・音声を横断してチケットを解決し、測定可能な自動解決率を実現します。
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Decagon vs Kore.aiwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
Decagon vs Kore.ai — specs
| Spec | Decagon | Kore.ai |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 70 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Voice, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Nov 2024 |
Agent Rank breakdown
Decagon
Agent Rank
73/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 4
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Kore.ai
Agent Rank
70/ 100
- 自律性
- 9
- 機能
- 10
- 連携
- 6
- 料金
- 4
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Decagon
メリット
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
デメリット
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
Kore.ai
メリット
- +Forrester Wave Leader 2026 — top "strength of offering" score
- +Largest library of prebuilt vertical agents (banking, healthcare, retail, telco)
- +Massive enterprise install base (Coca-Cola, Cisco, Pfizer, major US banks)
デメリット
- −Best value for enterprise verticals; SMB pricing not competitive
- −UI/UX denser than newer competitors (Sierra, Decagon)
- −India-based engineering — time-zone friction for some US/EU customers
Pricing
Decagon
Growth
カスタム
Mid-market
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
おすすめ
Enterprise
カスタム
Enterprise
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
Kore.ai
Standard
カスタム
Mid-market
- +Pre-built vertical packs
- +Voice + chat
- +Standard governance
おすすめ
Enterprise
カスタム
Large orgs
- +Custom verticals
- +Multi-agent orchestration
- +Advanced governance
Sovereign
カスタム
Regulated
- +EU/US/India data residency
- +BYO LLM
- +Dedicated tenants
Which one should you pick?
Decagon
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Decagon →Kore.ai
Pick Kore.ai if its specific capabilities (Tool use, Voice) match what you need.
Try Kore.ai →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Kore.ai in 2026?+
Pick Decagon if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Kore.ai if its specific capabilities (Tool use, Voice) match what you need. Most working teams running both can use Decagon for primary work and Kore.ai for the workflows where its specific strengths matter.
What's the price difference between Decagon and Kore.ai?+
Decagon starts at Subscription · Free tier; Kore.ai starts at Subscription. Decagon is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Decagon or Kore.ai?+
Both Decagon and Kore.ai are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
Multilingual customer-support AI agents with local deployment teams in 30 countries.
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See more alternatives: alternatives to Decagon · alternatives to Kore.ai
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