LTM, ServiceNow Expand AI Agent Partnership
The companies plan to develop joint AI agent offerings targeting more than 700 shared customers.
Updated on Nov. 9, 2026 in Artificial Intelligence
LTM and ServiceNow announced plans to expand their partnership and develop joint AI agent offerings. The partnership combines ServiceNow's AI Platform with LTM's engineering and consulting capabilities.
Why it matters
Enterprises deploying more AI agents face growing questions around access permissions and accountability. The expanded partnership aims to address how organizations manage those agents at scale.
LTM has internally deployed 1,500 ServiceNow AI agents, with the platform reducing IT ticket volumes and delivering up to 87% faster senior management review cycles. The companies have not disclosed financial terms or a delivery timeline for the joint offerings.
The players
ServiceNow
ServiceNow is an enterprise cloud software company whose AI Platform and workflow tools are widely used by large organizations to automate IT and business operations.
LTM
LTM is an India-based engineering and consulting firm that works with enterprise clients on digital transformation and technology deployment.
The details
ServiceNow's Super Intelligence Control Tower provides a central system for AI inventory and risk oversight, and the platform is used across LTM's cybersecurity, human resources, IT, and project delivery operations. LTM will draw on its own internal deployment as a reference for customer engagements.
Timeline
Partnership expansion announced on November 9, 2026.
The Tech Race
The partnership extends ServiceNow's Super Intelligence Control Tower, a central system for AI inventory and risk oversight, into joint offerings with an implementation partner. It positions both companies in the race to govern enterprise AI agents as their deployment grows.
Organizations using ServiceNow may see new joint offerings from LTM aimed at managing AI agents, though pricing and timing remain unannounced. Teams deploying AI agents will face more pressure to define access permissions and accountability for each agent.
The takeaway
As AI agents multiply inside enterprises, governance tools that track what each agent can access are becoming as important as the agents themselves. Companies evaluating these platforms should ask how inventory, permissions, and review workflows are handled before scaling deployments.
Further reading
For broader context on how companies are governing autonomous software, explore our Artificial Intelligence coverage.
Source note: This article includes information reported by Analyticsindiamag.
