December 2025 Summaries

Attio, an AI-native CRM used by various GTM teams, has experienced rapid growth, doubling its headcount over the past year, which has highlighted the natural tension between support and engineering teams. Elyse Mankin, Attio's Head of Support, and Philip Beevers, VP of Engineering, discuss how they maintain a productive relationship as the company scales. They emphasize building empathy by having new employees spend time in support roles, fostering trust through shadowing and incident drills, and ensuring clear communication to reduce ambiguity during tense moments. Both leaders advocate for ongoing experimentation with AI tools but caution against doing so mid-incident. Looking ahead to 2026, they aim to implement 24/7 support, viewing it as a shared responsibility between support and engineering, underlining the need for coordinated service delivery.

Twilio, a major player in business-customer communication, manages billions of messages monthly, where even minor AI model errors can impact millions. Zachary Hanif, head of AI, ML, and Data at Twilio, emphasizes the importance of ongoing AI maintenance, as models can drift and data can change, necessitating constant monitoring and retraining. He highlights that achieving near-perfect accuracy is crucial at Twilio's scale, as even a 1% error rate is significant. Twilio distinguishes between technical and business success, ensuring models are not only effective but also have positive business impacts. Integrating AI into products poses challenges, particularly in user interaction design, to build trust in AI decisions. Twilio's Compliance Toolkit for Messaging exemplifies AI's role in adhering to regulations, like delaying messages during EU "quiet hours." Looking ahead, Hanif envisions AI fading into the background, enhancing communication between humans by understanding intent and automating appropriate actions.