Leidos is expanding its deployment of the ServiceNow AI Platform to automate employee services, IT support, and shared operations using agentic AI, marking another step in the adoption of enterprise AI across highly regulated industries. The initiative will introduce autonomous AI-driven workflows, centralized AI governance, and conversational employee services while operating within FedRAMP-compliant environments. The move reflects a broader trend as organizations seek to improve workforce productivity and operational efficiency through AI without compromising security or compliance.

Enterprise AI is increasingly shifting from experimental deployments to organization-wide operational platforms, and Leidos is the latest enterprise to deepen its investment in AI-powered workflow automation.

The Fortune 500 technology and defense contractor announced it is expanding its use of the ServiceNow AI Platform to deploy agentic AI across IT, HR, and shared services. The initiative aims to automate routine employee requests, improve workforce productivity, strengthen AI governance, and reduce operational costs while meeting the stringent security requirements of government and defense environments.

The deployment will operate within FedRAMP-compliant environments, allowing Leidos to leverage AI across sensitive digital workflows while maintaining federal security and compliance standards.

Serving defense, intelligence, civil government, and healthcare customers, Leidos employs approximately 50,000 people and generates more than $17 billion in annual revenue, making efficient internal operations a critical component of business performance.

From IT Automation to Enterprise AI Operations

Leidos has relied on ServiceNow for more than a decade to support IT operations, asset management, and workflow automation. As workforce demands expanded, however, the company sought to modernize employee support by reducing growing IT and HR service requests through AI-powered self-service.

The expanded deployment introduces a unified platform connecting HR, IT, and enterprise services, enabling employees to access information and support through conversational AI while automating many routine administrative processes.

Central to the initiative is Now Assist, ServiceNow’s generative AI capability, alongside EmployeeWorks, HR Service Delivery, and the newly introduced AI Control Tower, which provides centralized governance for enterprise AI agents and automated workflows.

Rather than managing isolated AI applications, organizations are increasingly adopting platform-based approaches that coordinate multiple AI agents across departments while maintaining oversight of data usage, compliance, and decision-making.

Agentic AI Moves Beyond Traditional Automation

Unlike conventional workflow automation, agentic AI systems are designed to perform tasks autonomously, make decisions within predefined policies, and coordinate activities across enterprise applications with minimal human intervention.

Through the ServiceNow AI Platform, Leidos expects AI agents to automate a significant portion of employee service requests while enabling service teams to focus on higher-value and mission-critical activities.

Among the projected operational outcomes are:

• More than $3 million in annual savings through AI-enabled IT help desk automation.
• Up to 60% autonomous resolution of IT support tickets, potentially eliminating approximately 80,000 service requests annually.
• Faster employee access to HR and IT services through conversational AI.
• Centralized governance of AI agents using AI Control Tower to improve security, compliance, and auditability.

If achieved, these outcomes would significantly reduce manual workloads while improving response times across enterprise support functions.

AI Governance Becomes a Strategic Priority

As enterprises expand AI adoption, governance has become as important as automation itself.

The inclusion of AI Control Tower reflects a growing emphasis on managing AI agents through centralized oversight rather than allowing disconnected AI systems to operate independently.

The platform is designed to monitor AI workflows, orchestrate autonomous agents, and provide visibility into model behavior, helping organizations maintain compliance with internal policies and regulatory requirements.

For companies operating in highly regulated industries—including defense, healthcare, and financial services—such governance capabilities are becoming essential as generative AI is integrated into critical business operations.

The deployment’s operation within FedRAMP environments further illustrates how enterprise AI platforms are evolving to meet government-grade cybersecurity and compliance standards.

Employee Experience Continues to Drive HR Technology Investment

While much of the attention surrounding generative AI has focused on customer-facing applications, employee experience is emerging as one of the fastest-growing areas of enterprise AI investment.

Leidos plans to use conversational AI to provide employees with faster access to HR services, IT support, and workplace information through a unified digital experience.

For HR teams, this approach can reduce administrative workloads, accelerate employee onboarding, and improve service delivery while allowing HR professionals to concentrate on strategic workforce initiatives rather than repetitive support requests.

The deployment also aligns with broader HR technology trends emphasizing AI-assisted self-service, digital employee experiences, and intelligent workflow automation across the employee lifecycle.

Market Landscape

Enterprise AI platforms are rapidly evolving into centralized operating systems that connect HR, IT, finance, customer service, and security functions through shared AI infrastructure. Technology providers including Microsoft, Google Cloud, Salesforce, Oracle, and ServiceNow are investing heavily in agentic AI capabilities that enable autonomous task execution while maintaining governance and compliance.

According to Gartner, organizations are increasingly shifting from isolated generative AI pilots toward enterprise-scale AI platforms capable of orchestrating multiple business processes. Meanwhile, IDC projects continued growth in enterprise AI spending as businesses prioritize workflow automation, digital employee experiences, and operational efficiency.

Within HR technology, AI-powered employee service platforms are becoming a strategic investment as organizations seek to improve productivity while addressing talent shortages and rising operational costs. Features such as conversational AI, intelligent knowledge management, automated case resolution, and AI governance are expected to play an increasingly important role in modern digital workplace strategies.

Leidos’ expanded deployment reflects this broader market evolution, demonstrating how enterprises operating in highly regulated sectors are moving beyond AI experimentation toward secure, scalable, and governed AI operations that support both employee experience and business resilience.

Top Insights

• Leidos is expanding its use of the ServiceNow AI Platform to automate HR, IT, and shared services through agentic AI operating within FedRAMP-compliant environments.
• The deployment targets more than $3 million in annual savings and up to 60% autonomous IT ticket resolution, reducing manual workloads across enterprise operations.
• Centralized AI governance through ServiceNow AI Control Tower reflects growing enterprise demand for secure, compliant management of autonomous AI agents.
• Conversational AI and intelligent employee self-service are becoming core HR technology capabilities that improve workforce productivity and service delivery.
• The initiative illustrates how regulated industries are adopting enterprise AI platforms that balance automation with governance, cybersecurity, and operational oversight.

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