ServiceNow’s India Bet: Can It Put AI To Work Inside Enterprises?

ServiceNow, an enterprise software giant, is eyeing India as its next growth engine, not just for digitizing IT functions, but for integrating AI across business processes. The company unveiled AI Workflow Factory and Autonomous Engineer at its World Forum in India on October 6, aiming to help enterprises identify AI opportunities and construct, operate, and expand AI-powered workflows across their operations.

With Indian enterprises moving beyond experimental AI use cases, CIOs are now focusing on deploying the technology across various domains such as customer experience, employee operations, software development, and business processes. ServiceNow seeks to go beyond its traditional role as an IT service management company and position itself as the layer through which enterprises orchestrate AI across their technology stack.

ServiceNow's India strategy hinges on three interconnected avenues: domestic enterprises, global capability centers, and its network of large technology partners. The company is expanding beyond its core IT service management offerings, aiming to become an "enterprise operating system" that spans IT, HR, customer service, finance, supply chain, legal, and workplace operations. AI is emerging as the binding force across these functions.

While Indian CIOs and CISOs are showing a keen interest in exploring AI use cases, the need for robust governance, security, and identity management remains a challenge. According to a ServiceNow AI maturity assessment, only 22% of Indian enterprises have established AI testing, auditing, and risk-assessment processes. ServiceNow's president and chief product officer, Amit Zavery, emphasized that governance cannot be an obstacle to AI adoption, but should be integrated into the process from the outset.

The company's offerings, AI Workflow Factory and Autonomous Engineer, aim to address the fragmentation that often arises as companies scale AI. AI Workflow Factory assists enterprises in pinpointing workflow improvements through AI and constructing and managing these workflows. Autonomous Engineer brings autonomous capabilities into software development, including planning, building, and testing.

By consolidating the AI lifecycle onto a single platform, ServiceNow hopes to become the operating layer through which enterprises can integrate AI into their existing business processes without the need for a complete technology overhaul.

As enterprises transition from individual AI experiments to widespread adoptions, the focus shifts from whether an AI application works to ensuring it can be governed, monitored, and scaled without introducing new operational or security risks. ServiceNow aims to bridge the gap between frontier AI technologies and enterprise systems, connecting them to the areas where work is performed.

This strategy becomes even more intricate as enterprises move from generative AI assistants to autonomous AI agents, posing significant identity and access problems that require innovative solutions.