This Former Google Exec Is Using AI To Transform Customer Service

Key Concepts

• AI Agents: Software capable of reasoning, decision-making, natural language understanding, generation, and problem-solving, used to interact with customers across various channels.
• Annual Recurring Revenue (ARR): The value of a company’s recurring revenue normalized to a one-year period.
• Extensibility: The ability of a platform to be customized and expanded through code (SDK) or no-code tools.
• Conversational AI: AI technology focused on enabling human-like conversations between computers and humans.
• Outcomes-Based Pricing: A pricing model where payment is tied to the successful completion of a task or achievement of a specific outcome.
• Agent SDK: Software Development Kit allowing developers to build and customize AI agents with code.
• Single Agent Approach: Deploying a unified AI agent across all customer interaction channels for consistent experience.

Sierra: AI-Powered Customer Experience – A 2026 Perspective

Introduction & 2025 Reflections

Katherine Schwab interviews Clay Bavor, co-founder of Sierra, discussing the company’s progress and outlook for 2026. Bavor highlights Sierra’s mission to balance cost and quality in customer service, emphasizing significant growth in 2025. Sierra now serves a substantial portion of the American retail market (95%), over 50% of families in healthcare, 90% in media, and 70% in fintech, with clients including The Gap, Sutter Health, SiriusXM, Chime, and SoFi. Notably, 50% of Sierra’s customers generate over $1 billion in annual revenue, and 20% exceed $10 billion. The company achieved $100 million in ARR in just seven quarters, positioning it among the fastest-growing enterprise software companies.

Sierra’s Product: Tangible Applications of AI Agents

Sierra provides a platform for companies to build branded, AI-powered customer-facing agents across all customer experience touchpoints. These agents extend beyond traditional service and support, impacting areas like sales and engagement. Examples include:

• Redfin: Conversational real estate search, increasing tour bookings by 47% and listing views by 2x.
• ADT: AI agent troubleshooting alarm system issues, including automatically shipping replacement batteries.
• SiriusXM: “Harmony” agent managing subscription transfers between vehicles, handling requests via chat, phone, and even integrating with satellite signals to update encryption keys.
• Rocket Mortgage: Originating over $1 billion in mortgage applications monthly, handling everything except final service and support.

Addressing Gaps in Current AI Customer Service

Bavor acknowledges past frustrations with chatbots and automated phone systems but emphasizes the significant advancements in AI technology over the last three years. He notes that AI agents are now capable of not only answering questions but also developing novel solutions to technical problems, even surpassing the knowledge of human service agents. Current gaps are seen not as failures, but as opportunities for improvement, specifically:

• Deep Personalization: Moving beyond generic website experiences to deliver highly personalized interactions based on individual preferences and history. Bavor envisions a “white glove” concierge-level service for each customer.
• Long-Term Memory: Enabling agents to retain context across multiple sessions, building relationships and providing a more consistent experience. Current agents often lack “memory” between interactions.

Multi-Channel Integration & The “Single Agent” Vision

Sierra aims to move beyond a multi-channel approach (separate chat, voice, etc.) to a “single agent” model. This involves defining a core agent with consistent capabilities, knowledge, and branding, then deploying it across all channels – web chat, mobile apps, phone, WhatsApp, and even platforms like ChatGPT and Gemini. This ensures a uniform quality of service regardless of the customer’s chosen interaction method. Previously siloed teams (chat, voice, etc.) are consolidated under this unified agent approach.

Clay Bavor’s Journey & The Genesis of Sierra

Clay Bavor, formerly with Google for 18 years, explains his decision to leave and co-found Sierra. He describes it as “going to something” rather than “leaving something,” driven by a long-held desire to build a company from scratch. His experience at Google focused on “zero to one” initiatives, preparing him for the challenges of a startup. The decision to focus on customer service stemmed from conversations with industry leaders who identified it as a significant pain point and a prime area for AI disruption.

Why Customer Service? Market Opportunity & The Future Interface

Bavor and his co-founder, Brett, identified customer service as a massive market (hundreds of billions of dollars annually) with substantial potential for cost savings and improved customer experiences. However, they saw an opportunity to redefine the entire customer experience, envisioning the conversation as the interface. They believe AI agents can move beyond basic support to facilitate complex tasks like home buying, mortgage origination, and subscription management. The average American spends 13 hours a year on hold, highlighting the need for improvement.

Competitive Landscape & Sierra’s Differentiation

Sierra views the competitive landscape as dynamic and recognizes the need to continuously earn its position as a category leader. Key differentiators include:

• Extensibility: Offering both code-based (SDK) and no-code tools for agent development, catering to diverse technical skillsets.
• Agent Sophistication & Time to Value: Achieving high automation rates (over 90% resolution for many customers) and rapid deployment times (record of 12 days).
• Deep Partnership: Providing dedicated teams to assist customers with agent specification, building, and implementation, resulting in a high conversion rate from proof-of-concept to long-term contracts (over 95%).
• Holistic Approach: Focusing on transforming the entire customer experience, not just improving existing support channels.

The Sierra “Alhorn” & Company Culture

Bavor concludes with a lighthearted discussion of the company’s unique tradition: the “alhorn” (or alpenhorn), a large wooden horn played to celebrate successes. This symbolizes Sierra’s commitment to innovation and a distinctive company culture.

Conclusion

Sierra is rapidly establishing itself as a leader in the conversational AI space, focusing on building sophisticated, branded AI agents that transform the customer experience. The company’s success is driven by its focus on extensibility, rapid deployment, deep customer partnerships, and a vision for a future where AI agents provide personalized, seamless interactions across all channels. With a strong ARR growth trajectory and a commitment to innovation, Sierra is poised to significantly impact the future of customer service and beyond.