
Build, deploy, and optimize AI agents for personalized customer experiences across all channels.
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Sierra's Agent Studio allows for extensive customization of AI agents. Users can define the agent's name, welcome message, visual branding (logo, colors), and fine-tune its language and tone to align with the company's brand voice.
Yes, Sierra's Agent Data Platform integrates structured data from systems of record and existing data warehouses. This allows AI agents to personalize experiences for each customer based on real-time context from conversation history and customer profiles.
Sierra offers Agent Studio, a no-code environment that empowers teams to build and manage agents without engineering support. It allows users to create sophisticated workflows, define agent instructions, integrate external tools and data, and conduct simulations.
Sierra automatically identifies common themes missing from the knowledge base. This feature helps improve the agent's performance over time by highlighting areas where more information is needed.
Sierra provides robust testing and simulation features, including AI-driven large-scale testing to harden agents. It also offers AI-powered evaluations to simulate conversations and assess agent performance against defined outcomes, and regression testing to prevent issues before new releases.
Sierra is designed with a strong commitment to trust, security, and compliance. Customer data is never used to train models, and industry-standard best practices are employed to ensure its security.
Source: sierra.ai