Sendbird created an internal platform where employees post 'quests' for AI tools. This marketplace connects needs with builders (engineers or AI-enabled staff) and even AI agents, bypassing slow prioritization processes and fostering a building culture.
Sendbird's CEO aims to 'smooth the curve' of AI token usage. The goal is for autonomous AI agents to continue working productively during weekends and vacations when human activity dips, creating a true 24/7 hybrid workforce.
Sendbird's team driving AI adoption for internal operations reports directly to the CEO and Chief of Staff. This executive sponsorship gives them the cross-functional authority to partner with engineering, InfoSec, and other teams to unblock challenges quickly.
To encourage safe experimentation, Sendbird provides an app template with pre-built security, authentication, and infrastructure. This 'happy path' allows any employee, like marketers or CSMs, to build and deploy AI tools without needing to be a security or infrastructure expert.
To avoid redundant work, Sendbird created a marketplace where employees can publish and download reusable AI 'skills' (e.g., a 'MedPic Advisor' for sales). This allows expertise from one team to be programmatically encoded and applied across the entire organization.
Sendbird's marketing team used AI to build a functional e-commerce swag store with Stripe integration and an easter egg—all without engineering support. This proves that enabling non-technical teams to build unlocks delightful ideas that traditional roadmaps would kill.
Sendbird's CEO uses AI to create deep, structured 'learning centers' on complex topics like neuroscience. By prompting an LLM to act as an expert researcher, he generates an entire, custom curriculum that he can explore offline for deep learning.
Sendbird tracks and ranks every employee's daily AI token usage on a public dashboard, categorizing them from 'AI Newbie' to 'AI God.' This gamified metric makes AI adoption a visible, shared company objective and identifies who needs enablement.
Sendbird updated its job descriptions for 'AI-first' roles to de-emphasize years of experience. Instead, they screen for high curiosity, agency, and energy, believing these traits are better predictors of success for employees who must constantly learn and build with new tools.