Sierra
Sierra · Voice & Language · Business · Chatbot
Sierra is an AI agent platform built for customer support automation. Companies use this conversational AI to answer customers over chat, email, phone, and social channels, then keep improving the agents with testing and monitoring tools. Think of it as a multichannel AI agent that runs the front line of support. It's aimed at support and revenue teams at larger companies, not solo users or hobby projects.
About Sierra
What Is Sierra
Sierra is a customer experience platform built around AI agents that handle real customer conversations. Think of it as an AI customer service agent you configure for your own business. You describe how your support works. The platform turns that into an agent that answers questions, resolves issues, and hands off to a human when it should. The pitch is simple enough: less time on repetitive tickets, faster answers for customers.
The company behind it was started by Bret Taylor and Clay Bavor, both former Google and Salesforce leaders. That pedigree matters. Sierra sells to businesses with big support operations, and those teams want a vendor that understands scale, compliance, and messy integration work.
The catch is the audience. Sierra isn't a self-serve tool you sign up for on a Sunday afternoon. Pricing is custom, onboarding involves the Sierra team, and the value only shows up when you have enough conversation volume to justify the effort. If you run a small shop with a handful of tickets a day, this is overkill.
Getting Started
- Talk to the Sierra team and map out the kinds of conversations you want the agent to own.
- Feed it your source material, such as support SOPs, past transcripts, help articles, or a plain-language description of your goal.
- Let Ghostwriter build a first version of the agent, including guardrails for what it should and shouldn't say.
- Connect the channels you support, like chat, email, or voice, and point it at your knowledge and backend tools.
- Review live conversations in the monitoring views, flag issues, and push updates as the agent learns.
Product Information
A quick look at Sierra's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Support teams at mid-size and large companies
- Revenue and retention teams
- Operations leads who want measurable results
Tasks
- Answering common support questions
- Handling voice calls
- Running conversation experiments
Scenarios
- Peak-season ticket spikes
- Multilingual support
- Proactive outreach
Key features
Multichannel Conversations
Sierra agents work across chat, email, voice, and messaging channels, and they can move between them. A customer who starts in a chat and later calls in doesn't have to repeat everything here. The platform keeps context attached to the person, not the channel, which matters a lot when the same customer has already told three different teams the same story. That's the feature most teams notice first. It removes the usual "which system has the history?" headache.
Ghostwriter Agent Builder
Ghostwriter is Sierra's build tool. You hand it SOPs, transcripts, whiteboard photos, or a plain-English description of what you want, and it produces a working agent with guardrails already in place. The draft is meant to be reviewed, not shipped blind. Still, it cuts the blank-page problem out of agent design, which is where a lot of teams stall before they ever launch anything. That alone saves weeks.
Testing and Optimization Tools
Sierra ships experiment, monitoring, and observability features alongside the agent itself. You can run multivariate tests on conversation design, watch for conversations that need a human, and trace every tool call and knowledge lookup. Want to know why an agent gave a bad answer? The trace tells you. Teams that treat support as something to improve, not just staff, get the most out of this.
Customer Context and Memory
The platform keeps memory that links conversations, systems, and touchpoints together. Agents can recall what a customer did last week, what plan they're on, and what they complained about before. So replies sound like the company remembers the person. That's the difference between a helpful agent and a scripted one.
Long-Horizon Planning
Complex requests often need more than one step. Sierra breaks a goal into specific actions and works through them over time, checking in as needed. A refund that depends on a shipping status, for example, can wait for the right signal instead of forcing the customer to call back and chase it themselves.
Proactive Engagement
Rather than only reacting, Sierra can respond to real-world signals and trigger the next best action across channels. A delayed order can push an update before anyone asks. Support stops being a cost center that waits. It starts getting ahead of problems. Customers notice that. And they remember it.
Security and Compliance
Sierra is built with trust and compliance as stated priorities, aimed at companies with data rules to follow. It's a point to verify against your own requirements during evaluation, since the specifics depend on your industry and region. Don't assume. Ask the vendor directly and get it in writing before you commit to rolling an agent out to real customers.
Pros and cons
Pros
- Covers voice, chat, email, and messaging in one platform, so you don't need separate vendors per channel.
- Ghostwriter turns your existing docs and transcripts into a working agent draft, which shortens setup.
- Strong monitoring and experiment tooling for teams that want proof of improvement, not vibes.
- Backed by founders with deep enterprise and consumer tech experience, which helps with procurement conversations.
Cons
- No free plan and custom pricing mean you can't test it casually or budget without a sales conversation, which slows down anyone trying to compare options on their own.
- It's aimed at larger companies, so small teams may find the setup effort and per-conversation cost hard to justify.
- Because custom pricing hides the numbers, comparisons against competitors take extra legwork.
Frequently asked questions
Sierra builds and runs AI agents that handle customer conversations across chat, email, voice, and messaging. The platform also provides the tools to test, monitor, and improve those agents after launch, so the agent that answers your customers on day one is rarely the same one answering them six months later.
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