How ServiceNow uses internal AI pilots to launch successful customer tools (www.businessinsider.com)

ServiceNow has adopted an internal-first strategy for developing AI tools, successfully launching over 240 AI applications between 2023 and December 2025. This approach, led by key figures such as CDIO Kellie Romack, emphasizes the importance of thorough internal testing before rolling out innovations to clients, allowing the company to gather employee feedback and refine the technology. Notably, ServiceNow has piloted generative AI applications designed to automate repetitive tasks, and significant products have emerged from these efforts, such as the Workflow Data Fabric and the AI Control Tower, which focus on data interconnectivity and AI governance respectively. The implications of this strategy for the AI/ML community are substantial, providing a case study in how internal experimentation can lead to robust AI systems that clients trust. ServiceNow's journey highlights the iterative nature of AI development, which requires continuous monitoring and adjustment based on real-time user data. Furthermore, the integration of agentic AI capabilities into IT support has paved the way for groundbreaking tools like the Autonomous Workforce, signaling a trend toward greater automation in enterprise environments. As companies consider similar internal-focused AI initiatives, ServiceNow's experience illustrates the potential for enhanced productivity and streamlined workflows while addressing security and training challenges for external deployment.