TL;DR
ServiceNow and OpenAI have announced a multi-year agreement making OpenAI models a preferred intelligence capability for enterprises running over 80 billion workflows annually. GPT-5.2 will be embedded directly into ServiceNow’s AI Platform to enable end-to-end automation.
AI That Takes Action
ServiceNow’s AI Platform will bring OpenAI models like GPT-5.2 directly into enterprise workflows, enabling AI that can understand context, decide what to do next and take action within a customer’s secure infrastructure.
“ServiceNow and OpenAI are building the future of AI experiences: deploying AI that takes end-to-end action in complex enterprise environments—not sandboxes,” said Amit Zavery, President, COO and Chief Product Officer at ServiceNow.
The partnership will deliver AI capabilities across functions including IT, finance, sales and human resources, unlocking what ServiceNow describes as “enterprise intelligence at scale.”
Practical Applications
The integration will support several key capabilities. AI assistance allows employees to ask questions in natural language and receive actionable answers based on enterprise data. AI-powered summarisation and content generation help resolve incidents and cases faster with less manual effort.
Developer and admin tools will turn intent into workflows and automation, while intelligent search will pull information from across enterprise systems when needed.
“With OpenAI frontier models and multimodal capabilities in ServiceNow, enterprises across every industry will benefit from intelligence that handles work end to end in even the most complex environments,” said Brad Lightcap, COO at OpenAI.
Looking Ahead
The companies plan to build toward more natural, multimodal experiences where users can talk, type or use visuals to interact with AI agents seamlessly. This partnership extends OpenAI’s work with major enterprises including Accenture, Walmart, PayPal and Morgan Stanley.
Looking Forward
For UK organisations using ServiceNow, this partnership signals significant AI enhancements coming to the platform. The emphasis on secure, governed AI within existing infrastructure offers a model for enterprise AI deployment that balances capability with control.