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LTM and ServiceNow expand partnership to scale agentic AI

The two companies are joining forces to help over 700 customers move from small AI experiments to large-scale, governed enterprise systems.

700+joint customers

The short version

Why it matters

This move signals a shift from 'testing' AI to actually managing it at scale. For businesses, it means having a roadmap to deploy AI agents while maintaining security and oversight.

Scaling the AI workforce

LTM and ServiceNow have announced an expanded partnership designed to help large companies scale agentic AI. Agentic AI refers to systems capable of taking actions to achieve specific goals rather than just generating text. The goal is to move these programs beyond small, isolated tests into full enterprise adoption.

The collaboration combines the ServiceNow AI Platform with LTM’s specific domain and engineering expertise. By working together, the two companies want to provide a framework for measurable business outcomes. They aim to help organizations deploy these tools with greater speed and confidence while maintaining proper governance.

As reported by The National Law Review, this partnership focuses on creating a governed environment for AI. This means ensuring that as more AI agents are added to a company, they remain under human oversight. The companies want to help businesses manage the risks associated with autonomous digital workers.

A blueprint for 'Client-Zero'

A key part of this expansion is LTM’s role as a 'client-zero' for the technology. This means LTM has already implemented the solutions internally and can use its own experience as a blueprint for others. LTM has currently deployed 1,500 ServiceNow AI Agents across its own operations to create a digital workforce.

These agents work alongside human employees to handle various tasks across different departments. LTM is using its own transformation to show how a company can reorganize its work around these tools. This practical experience is intended to inform the joint go-to-market programs for their shared customer base.

By using their own success as a model, LTM can provide a proven roadmap for other enterprises. This approach helps potential customers understand how to integrate AI into daily workflows. It moves the conversation from theoretical benefits to practical, demonstrated results in real-world settings.

Managing AI risk and assets

One of the primary challenges for large companies is knowing what their AI agents are doing and who is responsible for them. Every new agent acts as a new identity with access to enterprise data. Without proper oversight, these agents can become difficult to track or secure across a large organization.

To solve this, the companies are using the ServiceNow Super Intelligence Control Tower. This system provides a single point of action for managing AI inventory and risk oversight. LTM expects this specific tool to lead to up to an 80% improvement in how they manage and monitor their AI assets.

The control tower allows human workers to stay focused on high-level judgment calls while the agents handle routine tasks. It provides the visibility needed to ensure that AI actions align with company policies. This balance of automation and oversight is central to the new partnership's strategy.

Measurable business impact

The partnership is already producing specific results for LTM in several key areas. The ServiceNow platform is currently helping the company streamline operations in cybersecurity, HR, and IT. For example, it has helped reduce the total volume of IT tickets handled by the company.

In some departments, the technology has enabled senior management review cycles to be up to 87% faster. These improvements show how automating specific workflows can speed up decision-making. The goal is to turn fragmented operations into coordinated, autonomous work across the entire business.

LTM's Chief Growth Officer, Krishnan Iyer, stated that the partnership will help enterprises move from experimentation to meaningful business impact. By combining engineering expertise with a robust platform, they aim to deliver faster threat responses and higher productivity. The focus remains on creating a new type of workforce where AI and people work together.

The path forward for customers

More than 700 joint customers will now have access to these combined solutions and go-to-market programs. These customers can learn from LTM's experience in deploying a large-scale digital workforce. The partnership is designed to help these organizations adopt, govern, and scale their AI initiatives more effectively.

ServiceNow's platform is built to integrate with any model, cloud, or data source. This flexibility allows companies to build on existing infrastructure while still gaining the benefits of the Super Intelligence Control Tower. It provides the necessary context for organizations to scale their AI use cases confidently.

Looking ahead, the focus will be on moving beyond simple automation to full business reinvention. The companies intend to help their clients turn complex, manual processes into streamlined digital workflows. This expansion marks a significant step toward making agentic AI a standard part of the modern enterprise.

What to watch

Try it

Look for 'AI Agents' in your company's internal software tools to see if they are already handling routine tasks like ticket routing or data entry.

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First reported by The National Law Review · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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