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Chatbots Enterprise only — outcome-based, contact sales

Sierra

Enterprise platform for building autonomous customer-service agents that work across chat, voice, SMS, WhatsApp and email — billed per resolved issue.

Updated 2026-06-27

8.7
AI Score / 10
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Overview

Sierra is an enterprise platform for building and deploying autonomous customer-service agents — branded AI that handles support, billing, and account questions across chat, voice, SMS, WhatsApp, email, and even ChatGPT. Rather than a chatbot you embed and forget, Sierra positions each deployment as a company-specific agent with its own persona, knowledge, and ability to take real actions (issue a refund, update a subscription, book a service) through connected backend systems.

It's built for large enterprises, not individuals or small teams. The company was co-founded by Bret Taylor — former Salesforce co-CEO and current chair of OpenAI's board — and Clay Bavor, who previously led Google's AR/VR and Labs efforts. That pedigree shows in the customer roster: Sierra publicly names Rocket Mortgage, Vanguard, SiriusXM, Brex, Wayfair, and Sutter Health, and as of mid-2026 reports serving more than 40% of the Fortune 50. A May 2026 round valued the company at $15.8B on a reported $150M+ ARR.

What separates Sierra from a generic LLM wrapper is the surrounding tooling and its commercial model. Agent Studio lets teams design and configure agents, the Agent Data Platform handles monitoring and analytics, and "Ghostwriter" assists in authoring agent behavior. Most notably, Sierra charges on outcomes — you pay per resolved interaction, not per seat or per message — which aligns cost with results but also makes it impossible to estimate spend without a sales conversation.

Key features

Omnichannel deployment

A single agent can be deployed across chat, voice, SMS, WhatsApp, email, and ChatGPT, so customers get consistent answers and the same backend actions regardless of how they reach out.

Agent Studio

A build environment for designing agent personas, wiring up knowledge sources, and connecting backend systems so agents can take real actions like refunds or subscription changes rather than just answering questions.

Outcome-based pricing

Sierra bills per resolved interaction instead of per seat or per message, tying cost directly to results — appealing to finance teams but opaque until you negotiate a contract.

Agent Data Platform

Monitoring, analytics, and quality tooling that lets enterprises track how agents perform, audit conversations, and improve resolution rates over time.

Pricing

Enterprise Custom (outcome-based)

Billed per resolved interaction. Includes multi-channel agent deployment, Agent Studio, Agent Data Platform, integrations, and dedicated support. No public tiers — pricing is set via sales contact.

Pros & cons

Pros

  • Single agent works across chat, voice, SMS, WhatsApp, email, and ChatGPT with consistent behavior
  • Agents can take real backend actions (refunds, account changes) rather than only answering questions
  • Outcome-based billing aligns cost with resolved issues instead of paying per seat or message
  • Proven at scale — public enterprise customers and reportedly 40%+ of the Fortune 50
  • Strong founding team and tooling (Agent Studio, Agent Data Platform) for design, monitoring, and analytics

Cons

  • ×Enterprise-only with no free tier, no self-serve signup, and no public pricing
  • ×Outcome-based pricing is hard to forecast without a sales negotiation
  • ×Overkill for small businesses or individuals — this is a multi-quarter implementation, not a plug-in widget
  • ×Real value depends on deep backend integration, which means meaningful engineering and onboarding effort

How it compares

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Related reading

Ready to try Sierra?

Head to the official site to start with Sierra — pricing and plans are listed above.

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