Sierra focuses on replacing scripted chatbots with agents that can actually resolve customer issues. Companies such as consumer brands and subscription services deploy Sierra agents to answer questions, process returns, change plans, schedule appointments, and handle other tasks by connecting to back-end systems. The agent follows the company’s policies and tone, and hands off to a human when needed.
Several elements distinguish its approach. An Agent OS provides the tools for building, testing, and monitoring agents, with simulation and evaluation to catch problems before customers see them, and supports voice and messaging channels. The company often uses outcome-based pricing, where customers pay for resolved conversations instead of seats, which aligns cost with value. It combines multiple language models to improve reliability.
Sierra sells to large enterprises on custom contracts, and implementation involves integration and tuning. Agent quality depends on the company’s data and processes, and fully automated support raises customer experience and trust issues. Competitors include Decagon, Intercom’s Fin, Zendesk AI agents, Ada, Salesforce Agentforce, and Forethought. Sierra suits large consumer-facing companies with high support volumes.