LTM and ServiceNow turn internal AI agent deployment into enterprise go-to-market play

LTM will use its deployment of 1,500 ServiceNow AI agents as a client-zero blueprint to help over 700 shared customers adopt, govern and scale agentic AI.

LTM and ServiceNow are expanding their partnership to take agentic AI deployments to enterprise customers, using LTM’s own implementation of 1,500 ServiceNow AI agents as a blueprint for customer adoption.

The planned expansion will combine ServiceNow’s AI Platform with LTM’s domain, engineering and enterprise transformation expertise.

Companies will develop joint solutions and go-to-market programmes to help customers move beyond isolated AI use cases and scale adoption across their organisations.

LTM is an Elite ServiceNow Partner and has over 700 shared customers with the platform provider. Under the expanded partnership, the companies plan to use this existing customer base to take their agentic AI offerings to more enterprises.

LTM has deployed 1,500 ServiceNow AI agents across its own operations, creating what the companies describe as a digital workforce working alongside employees.

The company will use this experience as a client-zero model to demonstrate how enterprises can introduce AI agents into business operations and manage them at scale.

Speaking about the expanded partnership, Krishnan Iyer, chief growth officer at LTM, said the collaboration will help move agentic AI from experimentation to business impact.

He said the companies will combine ServiceNow’s platform with LTM’s domain and engineering capabilities to develop solutions and joint go-to-market programmes.

The announcement does not specify the industries, customer deployment targets, commercial arrangements or timeline for these joint initiatives.

Managing AI agents at enterprise scale

As enterprises deploy more AI agents, managing their access, activities, and associated risks becomes a key part of adoption. Each agent can have an identity and access to enterprise systems, so visibility and accountability are essential.

ServiceNow’s Super Intelligence Control Tower is designed to provide a central view of an organisation’s AI assets and associated risks. LTM expects the platform to improve AI asset management and efficiency by up to 80percent. This is an expected improvement, rather than a reported outcome from the deployment.

Kulmeet Bawa, group vice president and managing director for ServiceNow India and SAARC, said LTM’s internal deployment demonstrates how AI agents can work alongside employees to improve business operations.

He cited improvements in areas such as threat response, IT ticket volumes and HR productivity. Bawa also highlighted the need for organisations to know where their AI agents operate, what they do and what access they have within enterprise systems.

The Control Tower provides visibility and oversight of these agents, helping organisations manage their activities and risks as deployments expand.

LTM's internal deployment offers a customer blueprint

LTM has also reported operational improvements from its ServiceNow deployment across cybersecurity, HR, IT and project delivery. These include streamlined security operations, reduced IT ticket volumes and up to 87percent faster senior management review cycles.

The company intends to draw on these internal use cases as it works with ServiceNow to take agentic AI adoption to customers. This gives the partnership an implementation reference point beyond the technology platform itself.

For LTM, the expanded alliance creates an opportunity to build on its existing ServiceNow customer relationships and offer enterprise transformation services around agentic AI adoption and governance.

For customers, the collaboration is intended to address both the deployment of AI agents and the oversight required to manage them across business functions.

The companies have not disclosed specific new solutions, revenue targets or the expected contribution of the expanded partnership to their respective businesses.