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。
RAGツール利用メモリ音声
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Decagon vs Qualified Piperwhich AI support agent should you pick in 2026?
Conversational support agents that resolve tickets like your best reps.
Tool useMemoryRAG
AI SDR that converts inbound website visitors into qualified pipeline 24/7.
Tool useMemoryRAG
Decagon vs Qualified Piper — specs
| Spec | Decagon | Qualified Piper |
|---|---|---|
| Agent Rank | 73 / 100 (A) | 62 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Tool use, Memory, RAG |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | — |
| Released | Apr 2025 | May 2025 |
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?
Qualified Piper
Agent Rank
62/ 100
- 自律性
- 8
- 機能
- 6
- 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
Qualified Piper
メリット
- +G2 #1 inbound AI SDR (4.9 rating, 1400+ reviews)
- +Salesforce-native — installed via AppExchange with deep CRM context
- +Converts inbound website visitors 24/7 with intent-aware playbooks
デメリット
- −Contact-sales pricing only — not transparent
- −Salesforce-centric — less suited for HubSpot-primary stacks
- −Premier tier required for true multi-agent orchestration
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
Qualified Piper
Growth
カスタム
Mid-market
- +Piper AI SDR
- +Website agents
- +Salesforce sync
おすすめ
Premier
カスタム
Enterprise
- +Multi-agent orchestration
- +Custom playbooks
- +Pipeline forecasting
Enterprise
カスタム
Large GTM
- +Unlimited agents
- +Dedicated SE
- +24/7 support
Which one should you pick?
Decagon
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Decagon →Qualified Piper
Pick Qualified Piper if its specific capabilities (Tool use, Memory) match what you need.
Try Qualified Piper →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Decagon or Qualified Piper in 2026?+
Pick Decagon if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Qualified Piper if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Decagon for primary work and Qualified Piper for the workflows where its specific strengths matter.
What's the price difference between Decagon and Qualified Piper?+
Decagon starts at Subscription · Free tier; Qualified Piper 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 Qualified Piper?+
Decagon is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
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ツール利用メモリ音声RAGIntercom に内蔵された解決件数ベースのAIエージェント。実際に対応を削減した件数分だけ課金されます。
RAGツール利用メモリDemo · hover to play
See more alternatives: alternatives to Decagon · alternatives to Qualified Piper
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