Summary
Conversational AI agents for customer experience, built per company and accountable for real outcomes.
Screenshots
Description
Sierra builds AI agents that handle customer conversations for large consumer brands. Each agent is configured for the specific company — its policies, systems, voice, and edge cases — rather than deployed as a generic chatbot with a logo on it.
The approach
- Agent development platform. Behaviour is defined declaratively in a structured format, so what the agent may and may not do is explicit and reviewable rather than an emergent property of a prompt.
- Real actions. Agents connect to order systems, subscriptions, and billing, so they can actually change something rather than only explain the policy.
- Voice and chat from the same agent definition, across web, app, and phone.
- Supervision. Detailed analytics on outcomes, with tooling to identify failure patterns and correct them.
- Guardrails that constrain the agent to approved behaviour, which is what makes brands comfortable putting it in front of customers.
Commercial model
Sierra prices on outcomes rather than seats, which is consistent with its positioning: the agent is accountable for resolving the issue.
Sold enterprise-wide to consumer companies with significant support volume, and deployed with configuration and integration work rather than self-serve signup.
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