Sierra
Builds and optimizes AI agents for enterprises to deliver personalized
Sierra
Product screenshot
What is Sierra?
Content last verified May 4, 2026 Β· by the AI Tools Set Research Team
Sierra is a conversational AI platform that builds branded customer service agents for businesses. Co-founded by Bret Taylor, it deploys AI agents that resolve customer issues across chat and voice end to end, with guardrails and integrations to company systems.
Key Features of Sierra
- Agent OS: A comprehensive platform to build, optimize, personalize, and scale AI agents for customer interactions.
- Ghostwriter: Builds production-ready, multilingual, multichannel AI agents from SOPs, transcripts, audio, or plain English explanations.
- Insights Explorer: Analyzes agent performance with ChatGPT-style Deep Research for customer conversations.
- Observability: Provides full visibility into every agent action, including tool calls, knowledge lookups, and latency.
- Agent Data Platform: Turns conversations into lasting relationships by personalizing experiences with real-time context and customer data.
- Multichannel Deployment: Deploys a single AI agent across chat, SMS, WhatsApp, email, voice, and ChatGPT.
- Agent Memory: Personalizes customer experiences based on real-time context from conversation history.
- Proactive Engagement: Triggers next best action workflows across any channel in response to real-world signals.
Use Cases for Sierra
- Automate customer support across multiple channels
- Personalize customer interactions based on historical data
- Optimize AI agent performance through testing and insights
- Build AI agents quickly from existing documentation
- Monitor agent actions and conversation quality
- Increase customer lifetime value through tailored experiences
Pros & Cons
Pros
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Builds sophisticated, multichannel AI agents rapidly with Ghostwriterβ
Offers deep insights and observability for agent performanceβ
Personalizes customer experiences using real-time context and dataβ
Supports deployment across chat, SMS, WhatsApp, email, voice, and ChatGPTβ
Outcome-based pricing aligns cost with value deliveredβ
Empowers teams to build agents with or without engineering supportCons
β
Outcome-based pricing may lack transparency without direct consultationβ
No explicit free trial or publicly listed pricing tiersβ
Specific third-party integrations are not detailedβ
Primarily targets large enterprises, potentially less accessible for SMBsPricing
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Enterprise (Outcome-Based)
Custom
βOutcome-based pricing model
βFull Agent OS access
βGhostwriter for agent creation
βInsights Explorer for performance analysis
βAgent Data Platform for personalization
βMultichannel deployment (chat, SMS, WhatsApp, email, voice, ChatGPT)
βDedicated support and implementation
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