Amit Zavery of ServiceNow highlights that AI is an enabler rather than a disruptor for enterprise software, emphasizing the importance of integrating AI with robust governance, security, and contextual knowledge to ensure reliable, compliant outcomes across complex business workflows. ServiceNow leverages AI-driven automation within a controlled, orchestrated platform to enhance efficiency and compliance, positioning itself as a key player in the evolving ecosystem of agentic AI for enterprises.
In this insightful conversation with Amit Zavery, President, COO, and Chief Product Officer of ServiceNow, the future of software in the age of AI and agents is explored with a focus on how enterprise software companies are adapting to the AI revolution. ServiceNow, a company with over two decades of experience in automating business processes and serving 90% of Fortune 500 companies, is leveraging AI not as a disruptive threat but as a powerful tool to enhance its platform. Amit emphasizes that AI is not a sudden phenomenon for ServiceNow; rather, the company has been integrating AI capabilities for years to improve efficiency, security, and compliance in enterprise workflows.
Amit addresses the prevalent narrative of a “SaaS apocalypse,” where AI is perceived as a threat that could replace traditional software companies. He counters this by highlighting the complexity of enterprise environments, which involve hundreds of interconnected systems and require robust governance, security, and context-aware solutions. Unlike consumer AI applications, enterprise AI must guarantee accuracy, compliance, and reliable outcomes. Amit cites real-world examples, such as the Pocket OS incident, to illustrate the risks of unregulated AI agents acting without proper controls, underscoring the necessity of AI systems with built-in safeguards and domain expertise.
The discussion delves into how ServiceNow uses AI to augment IT operations and customer service through AI specialists—automated agents that handle tasks securely and efficiently while maintaining context and compliance. Amit explains that while AI can automate many functions, it cannot replace the deep contextual knowledge and governance frameworks that ServiceNow has developed over years. This approach ensures faster resolution times and higher success rates compared to purely AI-driven solutions, which often fail or produce inconsistent results. The company’s platform acts as a system of action, orchestrating workflows across multiple systems and ensuring that AI-driven actions are safe, auditable, and aligned with business policies.
Amit also touches on the competitive landscape, noting that the future will feature an ecosystem of providers rather than a single dominant player. ServiceNow positions itself as an enterprise operating system that connects various systems of record and orchestrates actions across them, integrating AI capabilities while maintaining control and security. This orchestration is critical for complex business processes like employee onboarding, where multiple systems must work together seamlessly. The company’s AI control tower provides visibility and governance over AI agents, helping CIOs and risk managers monitor usage, costs, and compliance in real time.
Finally, Amit reflects on the rapid pace of AI innovation compared to previous technology shifts such as client-server, web, and cloud computing. He stresses the importance of thoughtful adoption, prioritization, and integration of AI into enterprise products to avoid disruption and maximize value. While AI is a powerful enabler, it must be embedded within solutions that guarantee outcomes and maintain security. Amit’s perspective underscores that successful AI adoption in enterprises requires combining cutting-edge technology with proven processes and governance, a challenge ServiceNow is uniquely positioned to address as the software industry evolves in the agentic AI era.