Intercom CPO on shifting from AI-dead to AI-first | Paul Adams | E252
Jan 15, 2025
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In this conversation, Paul Adams, Chief Product Officer at Intercom and former Google innovator, discusses the company's remarkable pivot from a traditional SaaS model to an AI-first powerhouse. He shares insights on the role of AI in reshaping customer support and product management, emphasizing the need for adaptability in this technological shift. Paul also outlines strategies for building AI-driven products, the evolution of pricing models, and the significance of collaboration between UX and customer-facing teams.
Intercom's transformation from a traditional SaaS model to an AI-first approach highlights the necessity for companies to adapt their product development strategies to remain competitive.
The introduction of an outcome-based pricing model demonstrates how Intercom is aligning financial incentives with measurable customer success, redefining value in the customer service sector.
Intercom emphasizes the importance of close collaboration with customers to inform AI development, ensuring that solutions are effectively tailored to meet real-world needs.
Deep dives
The New Era of AI in Product Development
AI is ushering in a transformative technology cycle that is anticipated to surpass the impact of the internet. Companies must adapt their product development practices to align with this shift, as traditional methods may no longer be applicable. The need for innovative approaches is paramount, suggesting that organizations should rethink their structures, roles, and practices entirely. Embracing this change is crucial for staying relevant and competitive in an era where the technology landscape is rapidly evolving.
Intercom's Transition to AI-First Strategy
Intercom is actively restructuring its organizational design to prioritize AI across its product development teams. The shift involves realigning resources, with a majority of the engineering and product team focusing on AI innovations while gradually transitioning away from conventional product features. This significant change is fueled by a belief that developing AI-first products requires a different operational model compared to traditional software development practices. As the organization moves forward, it will continue to learn and adapt, facing uncertainties that accompany such fundamental transformations.
Outcome-Based Pricing as a Game Changer
Intercom has introduced an outcome-based pricing model that focuses on delivering measurable results for customers. This innovative approach charges clients only when AI, represented by the Fin agent, successfully resolves customer queries, promoting a win-win relationship between the company and its users. This model diverges from traditional subscription methods, positioning Intercom as a forward-thinking player in the customer service landscape. By aligning pricing with successful outcomes, Intercom incentivizes meaningful engagement and functionality for clients.
Building Products in Collaboration with Customers
In the context of AI development, Intercom recognizes the importance of close collaboration with customers to create effective solutions. The company relies on deep partnerships to identify customer needs and tailor AI functionalities accordingly. This dynamic requires team members to actively engage with clients, often blurring lines between traditional roles of product management and customer service. Such collaboration is key to ensuring that the AI products meet real-world requirements and provide tangible value to users.
Navigating the Challenges of Market Adaptation
Intercom's transition to an AI-focused company presents challenges, particularly in responding to customer demands while maintaining product viability. The leadership team is evaluating how to integrate AI features effectively into their product offerings while addressing the unique needs of different market segments. The company’s strategy includes offering integrations with competitor platforms to ease customer transitions. As Intercom seeks to retain existing clients and attract new ones, flexibility and adaptability are essential in navigating the complexities of market competition and customer expectations.
In this episode, Carlos Gonzalez de Villaumbrosia interviews Paul Adams, Chief Product Officer at Intercom, a leading customer communication platform that has experienced both remarkable success and near-catastrophe.
Founded in 2011, Intercom revolutionized customer service as a SaaS pioneer, reaching a peak valuation of $1.3 billion. However, by 2022, the company faced potential collapse as AI rapidly disrupted its core business. In a dramatic turnaround, Intercom's original founder returned as CEO, transforming the company into an AI-first powerhouse now serving over 50,000 paying customers globally.
Paul's 12-year tenure at Intercom has been pivotal in shaping the company's evolution. As CPO, he leads Product Management, Design, Data Science, and Research. His impressive background includes working on groundbreaking products at Google, such as YouTube and Gmail, during the iPhone's launch era.
In this episode, we explore Intercom's transformation from a simple customer support tool to an AI-powered communication platform, the evolution of AI in customer service, and the challenges of building AI-first products as a non-native AI company.
What you'll learn: - How Intercom navigated the transition from a traditional SaaS model to an AI-first approach. - The impact of AI on product development and organizational structure. - Intercom's journey in developing AI-powered customer service agents. - Strategies for implementing outcome-based pricing models in the AI era. - Challenges and opportunities in building AI-first products for established companies.
Key Takeaways: - AI Transformation: Paul discusses Intercom's bold move to allocate 70% of R&D to AI development. - Organizational Restructuring: He explains how Intercom is reimagining traditional product roles to adapt to AI-driven development. - Customer-Centric AI: Paul emphasizes the importance of building AI products in close partnership with customers. - Pricing Innovation: He introduces Intercom's exploration of outcome-based pricing models aligned with customer success. - Product Judgment: Paul argues for the increasing importance of product intuition and risk-taking in the AI era.
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