Description
Sierra provides a comprehensive platform for businesses to create and deploy sophisticated AI agents designed to elevate customer experiences. The platform focuses on enabling companies to deliver personalized interactions across every touchpoint that matters, ultimately increasing customer lifetime value. By leveraging Sierra, organizations can empower their teams to build powerful AI agents quickly, with or without extensive engineering support.
The core of Sierra's offering is the Sierra Agent OS, which facilitates the building, optimization, personalization, and scaling of AI agents. The 'Ghostwriter' feature allows users to upload various forms of data, such as SOPs, transcripts, whiteboard photos, and audio recordings, or simply describe their goal in plain English. Ghostwriter then constructs a production-ready, multilingual, and multichannel agent complete with built-in guardrails. Optimization is streamlined through automated agent updates based on flagged issues and proactive insights, ensuring full visibility and control over every change.
Sierra's 'Insights Explorer' provides advanced tools for analyzing agent performance. This includes ChatGPT-style Deep Research for conversations, proactive monitoring of conversations needing attention, multivariate testing capabilities through 'Experiments' to optimize conversation design and performance, and 'Observability' to understand every agent action, from tool calls to latency. The 'Agent Data Platform' further enhances personalization by enabling agents to access real-time context from conversation history and integrate structured data from existing systems of record and data warehouses. This allows for the configuration of strategies and recommendations to power the agent's decisioning engine and trigger proactive engagement workflows across any channel based on real-world signals.
Sierra emphasizes trust, security, and compliance in its design, ensuring a reliable foundation for AI-driven customer interactions. The platform's outcome-based pricing model ensures that businesses only pay for the value delivered, aligning costs directly with performance and results. This makes Sierra an attractive solution for companies looking to innovate their customer service and engagement strategies with intelligent, human-like AI agents.
Sierra AI Agents's Core Features
Build AI agents with plain English descriptions or uploaded documents
Deploy single AI agent across chat, SMS, WhatsApp, email, voice, and ChatGPT
Personalize customer experiences using real-time conversation history
Integrate customer data from systems of record and data warehouses
Automate agent updates based on flagged issues and proactive insights
Analyze agent performance with ChatGPT-style Deep Research
Proactively monitor conversations needing extra attention
Run multivariate tests to optimize agent performance
Understand every agent action with observability tools
Configure strategies and recommendations for agent decisioning
Trigger proactive engagement workflows based on real-world signals
Outcome-based pricing model
How to use Sierra AI Agents?
Build: Upload SOPs, transcripts, or describe your goal to Ghostwriter.
Configure: Integrate customer data and set up personalization strategies.
Deploy: Launch your AI agent across multiple communication channels.
Optimize: Automate updates based on performance insights and experiments.
Monitor: Analyze agent performance and identify areas for improvement.
Scale: Expand agent capabilities and reach to more customers.
Sierra AI Agents's Use Cases
- Customer Support Automation
- Personalized Customer Engagement
- Sales Process Optimization
- Proactive Customer Outreach
- Multichannel Communication Management
- AI Agent Performance Analysis
