Sierra AI is the conversational customer-experience agent platform from former Salesforce co-CEO Bret Taylor — Agent OS, Agent Studio, Agent SDK, and Insights for enterprise-grade brand-safe AI customer support.
Sierra AI is the conversational customer-experience agent platform from former Salesforce co-CEO Bret Taylor — Agent OS, Agent Studio, Agent SDK, and Insights for enterprise-grade brand-safe AI customer support.
Sierra AI is a sales-led enterprise AI customer experience agent platform for building, deploying, optimizing, and governing customer-facing support agents across service channels, with no public monthly price, package tier, contract minimum, or self-serve trial disclosed, making it best for large CX teams ready for custom outcome-based pricing.
Sierra’s website positions the product as Sierra Agent OS, a system for creating AI agents that can operate across chat, SMS, WhatsApp, email, voice, and ChatGPT. Its Ghostwriter builder can create a production-ready agent from SOPs, transcripts, whiteboard photos, audio recordings, or plain-English instructions, which makes it useful for organizations that have strong operating procedures but do not want every agent update to depend on engineering. The platform emphasizes multilingual and multichannel deployment, built-in guardrails, and a reviewable change process so teams can validate updates before shipping them into customer-facing workflows.
The strongest fit is enterprise customer experience automation where the agent needs to do more than answer FAQ-style questions. Sierra highlights personalized experiences based on real-time context, conversation history, and structured customer data from systems of record. That makes it relevant for scenarios such as membership support, home-services customer care, subscriber account management, order or service-status communication, and proactive intervention when a conversation needs extra attention. Its Insights layer includes Explorer for ChatGPT-style Deep Research over conversations, Monitors for identifying interactions that need review, Experiments for multivariate testing, and Observability for understanding agent actions such as tool calls, knowledge lookups, and latency.
Compared to the other AI customer support tools in our directory, Sierra is positioned at the premium enterprise end of the market rather than the self-serve SMB end. Based on our analysis of 870+ AI tools, that makes it most comparable to platforms such as Ada, Intercom Fin, and Zendesk AI Agents, but Sierra’s public messaging puts more emphasis on an end-to-end agent operating system, outcome-based pricing, proactive optimization, and deep observability. The tradeoff is evaluation friction: the website does not show public pricing tiers, a free plan, or a self-serve trial, so buyers should expect a sales-led process and a more substantial implementation than lightweight chatbot tools.
Was this helpful?
Sierra focuses on creating brand-aligned conversational AI agents for customer experience, emphasizing natural dialogue that reflects each company's voice and policy guidance. The platform is best suited for enterprise customer experience teams that need governed, multichannel customer-facing agents and are prepared for a sales-led evaluation.
Conversational AI behavior intended to adapt tone and responses to customer context while staying aligned with brand and policy guidance
Use Case:
Respond to a frustrated customer with acknowledgment and a more careful support path instead of a generic troubleshooting script
Agent workflows that can use knowledge, customer context, and connected business systems to handle support issues beyond static FAQ answers
Use Case:
Help a customer understand an account or service issue by combining support policy, prior conversation context, and available customer data
Personalized customer experiences based on conversation history, real-time context, and structured customer data where integrations are configured
Use Case:
Use prior conversation history to avoid repeating questions and keep the interaction focused on the customer's current issue
Guardrails and reviewable change workflows that help teams validate agent updates before customer-facing deployment
Use Case:
Review and approve changes to customer-facing behavior before a new process or policy response goes live
Insights, monitors, experiments, and observability features that help teams analyze conversations and improve agent behavior over time
Use Case:
Investigate why resolution quality changed after a policy update and test alternate conversation flows
Agent SDK and customer data integration capabilities for connecting Sierra agents to systems of record and support workflows
Use Case:
Use customer account context from connected systems to personalize support and route complex cases appropriately
Custom; exact dollar price not publicly disclosed
Ready to get started with Sierra AI?
View Pricing Options →Sierra AI works with these platforms and services:
We believe in transparent reviews. Here's what Sierra AI doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
Not publicly documented
Customer Support
AI customer service agent for resolving support questions using approved knowledge sources, workflows, and human handoff.
Customer Support Agents
Intelligent customer service agents that automate ticket resolution and provide 24/7 support with Zendesk's platform integration.
No reviews yet. Be the first to share your experience!
Get started with Sierra AI and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →