Sierra

What Sierra is

Sierra is a conversational AI platform for building and deploying production-grade AI agents that handle customer conversations for businesses across voice and messaging channels. The company focuses on agent-building for customer service and revenue-driving use cases across financial services, telecom, healthcare, travel and retail. The company describes agents that integrate with systems of record and knowledge bases and take real-time action on behalf of customers, with testing, monitoring and guardrails around them. The About page names Bret Taylor and Clay Bavor as co-founders and lists offices in New York, Atlanta, London, Singapore, Tokyo, Paris, Madrid, Toronto and San Francisco, "where it all began".

What you build and how

Sierra's core tool is Agent Studio, a visual environment where teams build customer journey flows, described on the Insights page as "without writing a line of code". The Agent Studio page covers journeys, knowledge configuration, integrations with third-party knowledge bases, systems of record and contact centers, actions such as routing a conversation to your care team with full context, simulations, and branding and controls.

The homepage says a single agent deploys across chat, SMS, WhatsApp, email, voice and ChatGPT, and the channels page adds a one-click publish to ChatGPT. Ghostwriter is Sierra's agent-building agent: you describe your use case or upload SOPs, transcripts, whiteboard photos and audio recordings in natural language, and Ghostwriter generates a production-ready, multilingual, multichannel agent with built-in guardrails that you review before deploying. Voice personas let you define both what an agent does and how it expresses itself, so agents don't just follow a script but embody your brand's tone. Agents can publish directly to ChatGPT as apps via Model Context Protocol, expanding their reach beyond your own interfaces.

The knowledge layer lets agents retrieve context from internal knowledge bases, systems of record and external data sources. Agents connect through Sierra's opinionated integration framework, configurable directly in Agent Studio. Custom integrations are possible for proprietary systems. Agent Actions put integrations to work, allowing agents to take real-time action on behalf of customers, route conversations to live agents with full context. This action layer is central to Sierra's value: agents don't just provide information; they accomplish tasks.

Testing hardens agents before going live. Simulations let you run large-scale AI-driven tests and regression testing detects potential regressions before release. Voice Sims test how agents handle transcription, background noise and speaker variation in real conditions, ensuring voice agents remain reliable across use cases. The platform provides real-time monitoring so teams understand agent behavior, why agents make decisions and how to improve them. Insights shows what's driving trends in customer interactions, with automated conversation tagging and categorization, helping teams spot patterns in customer demand. Explorer lets teams ask natural language questions about agent data and receive analytics-driven answers and recommendations, turning agent conversations into business intelligence. Alerts spot emerging issues like abuse attempts or performance drops, protecting your agent from misuse. The homepage adds observability over every agent action, from tool calls to knowledge lookups and latency, Monitors that flag conversations needing attention, and Experiments for multivariate tests.

Insights also covers experimentation. The page lists conversation design, where you try variations of agent behavior such as hand-off rules or levels of determinism, plus value discovery for turning potential cancellations into chances to serve the customer, and intelligent decisioning for personalizing how the agent interacts. The product navigation names further pieces, including Horizon, which the site shows working a multi-day patient case through calls and texts, and a Context Engine.

Customization options let you give agents brand identity: name, voice, welcome message, logo and colors. Agents can be updated in real time so teams can adapt to new promotions or policies. The studio's own wording is that you can "tailor your agent to be a true reflection of your brand."

Outcome-based pricing is Sierra's business model. The site says Sierra pioneered it: "you pay only when the software achieves specific, valuable outcomes." The product page puts it as "Only pay for the value delivered."

Plans, claims and customers

Sierra's pages focus on how the platform works and customer outcomes rather than detailed pricing. The site states that Sierra is "the leading conversational AI platform for businesses" and describes outcome-based pricing as a pioneering business model. The channels page says customers have built agents "handling billions of customer interactions and driving billions of dollars of revenue every year." Ghostwriter builds "multilingual, multichannel" agents "with built-in guardrails." Agents integrate with "systems of record and knowledge bases", and the financial services page says Sierra ensures trust, security and compliance "with encrypted and masked PII at all times."

The financial services page links customer stories for Rocket Mortgage, Ramp and SoFi, and the Explorer page carries a DIRECTV quote about asking plain-English questions of conversation data. The financial services page describes continuous monitoring, AI-driven evaluations and quality assurance ("pre-defined goals and guardrails and built-in quality assurance"). Industries served include financial services, telecom, tech, healthcare, travel and retail.

The channels page covers voice and a Voice Personas feature. The site references integration with ChatGPT apps via Model Context Protocol. Support and onboarding follow a partnership model: "Work with an expert agent development team that has supported hundreds of deployments."

Who it suits and who it doesn't

Sierra suits large brands, contact centers and teams with complex customer interactions that span phone and messaging channels. The outcome-based pricing model aligns cost with business results, which suits teams that can say what a good outcome is. Financial services teams get a dedicated page, which says Sierra agents integrate with systems of record and knowledge bases and keep PII encrypted and masked.

The Horizon product page walks through a healthcare example in which an agent reads an EHR signal, a denied prior authorization and a scheduling API, then calls and texts a patient to rebook an appointment. Retail and travel are listed among the industries served. The voice features, including Voice Personas and Voice Sims, matter for any team putting an agent on the phone.

Outcome-based pricing suits teams that can say what a valuable outcome is, because the vendor is paid when the software achieves it. The product page says you can deploy in weeks.

Self-serve setup and a published rate card are not part of the offer; the site publishes no plan names or prices. Small teams with simple chatbot needs, solo founders testing an MVP, or anyone avoiding enterprise sales conversations won't find a straightforward path here. The site says agents can be built "with or without engineering", but the integration work and outcome definitions make this a managed engagement.