OpenAI and ServiceNow Expand Enterprise AI Partnership

Introduction

OpenAI and ServiceNow have announced a significant expansion of their partnership, aimed at embedding advanced AI capabilities directly into enterprise workflows. This collaboration seeks to enhance how organizations develop applications, manage IT operations, and address security challenges by integrating OpenAI’s models and agents within ServiceNow’s platform and vice versa.

The move builds on an initial partnership formed in January, signaling a long-term commitment to reshaping how businesses leverage AI across core operational domains. For IT, security, and engineering professionals, this expansion introduces new tools and integrations that could influence daily workflows and strategic decision-making.

Enhanced Workflow Integrations

A new ServiceNow integration will bring business context and workflow actions directly into ChatGPT, allowing teams to investigate issues and execute actions without switching platforms. For example, an IT team member can identify similar incidents, assess change risks, and update ServiceNow records—all within a single ChatGPT conversation.

Customers will connect ChatGPT to their own ServiceNow instances, selecting which capabilities to enable. ServiceNow’s Action Fabric ensures that all actions adhere to existing business rules and permissions, maintaining compliance and access control. Additionally, interactive experiences are being previewed inside ChatGPT, enabling on-call engineers to review monitoring alerts, recent changes, and affected services, then assign tasks and work toward resolutions within the same interface.

• Seamless issue investigation within ChatGPT
• Real-time risk assessment and record updates
• Interactive alert management for engineering teams

Application Development and Security Enhancements

The partnership introduces a planned Codex integration within ServiceNow’s AI Workflow Factory, designed to assist developers in building applications using ServiceNow’s business context and platform capabilities. OpenAI models will also power Build Agent and Autonomous Engineer, supporting application development and modernization efforts.

On the cybersecurity front, a joint solution will combine OpenAI’s cybersecurity capabilities with ServiceNow’s asset, identity, and business context. This integration aims to help teams investigate vulnerabilities, prioritize risks, and coordinate remediation more effectively. Additionally, voice-enabled experiences in ServiceNow’s Super Intelligence Control Tower will allow users to describe AI use cases verbally, with follow-up questions helping to populate assessment fields and gather missing information.

Internal Adoption and Future Availability

ServiceNow plans to provide all employees with access to ChatGPT Work and Codex, extending beyond its engineering teams. Engineers will use Codex to explore codebases, make changes, and run tests, while other departments will integrate ChatGPT Work into their daily operations. ServiceNow will also apply OpenAI capabilities to its internal security initiatives.

Mirroring this, OpenAI is adopting ServiceNow workflows in its own operations, supported by the Super Intelligence Control Tower. The ServiceNow MCP plugin is already available in the OpenAI marketplace, with enhanced capabilities expected by the end of 2026. Voice capabilities in the Super Intelligence Control Tower are slated for early 2027, while the OpenAI-powered security features are expected to enter early access in January 2027, with general availability planned for the second quarter of 2027. Codex integration within the AI Workflow Factory is also anticipated in 2027.

Conclusion

The OpenAI and ServiceNow partnership marks a pivotal step in operationalizing AI across enterprise functions, from development and IT operations to cybersecurity. As these integrations roll out over the coming years, professionals in these fields will need to adapt their practices to harness AI’s potential while safeguarding against new risks. Organizations looking to stay competitive should begin evaluating how these tools align with their existing DevSecOps and cloud security strategies, potentially leveraging platforms like Grivyonx’s AI automation and cloud security services to streamline adoption and maintain robust defenses.