# Leidos Builds AI Service Desk With Iris Bot to Automate Tier-1 IT for 50,000 Employees

> The defense and intelligence contractor projects $3 million in annual savings and up to 60% autonomous IT ticket resolution as CIO Alexandra Guenther pushes tier-one support into self-service.

*Published 2026-10-05 · By Samira Reyes*

Leidos is a Fortune 500 company with approximately 50,000 global employees operating across defense, intelligence, homeland, health, and digital sectors that has deployed an AI-driven “service desk of the future” to move tier-one IT work to self-service.

Executive Summary

Leidos, a Fortune 500 defense and intelligence contractor, has deployed a “service desk of the future” built on the ServiceNow AI Platform, using more than a dozen automations and a digital employee access bot called Iris to shift tier-one IT support to self-service. The initiative, led by Senior Vice President and Chief Information Officer Alexandra Guenther, is projected to save more than $3 million annually and to resolve up to 60 percent of IT tickets autonomously, according to ServiceNow.

For an organization of roughly 50,000 employees, the automation program is designed to reduce repetitive tier-one requests and allow human service desk staff to concentrate on more complex issues. ServiceNow’s announcement says Leidos also expects AI agents to eliminate as many as 80,000 IT tickets each year. The figures are projections from Leidos and ServiceNow rather than audited results, and the companies have not disclosed a timeline for reaching the targets.

Leidos has not disclosed which specific IT workflows are covered by the automations, but the company says the program was built around real employee pain points rather than generic AI capabilities. That approach, Guenther explained, is what makes the service desk project a useful model for large organizations where IT support volumes are high and staff time is scarce.

Why Leidos Built a Service Desk of the Future

Leidos has worked with ServiceNow for about a decade, and the new effort expands that relationship into agentic AI and employee-experience products. The company operates across defense, intelligence, homeland security, health, and digital services, giving the service desk a broad set of workflows that range from routine laptop setup to mission-critical technology support. Guenther said the program began by identifying real workflow pain points rather than by selecting AI for its own sake.

IT service desks are among the most mature use cases for automation in the enterprise, because ticket data provides a record of what employees actually need. At Leidos, the service desk supports a workforce distributed across government-facing contracts, requiring both self-service convenience and compliance with federal security rules. The service desk of the future is Leidos’s attempt to reconcile those two requirements.

On the Enterprise Software Blog podcast, Guenther described the scope of the rollout. “We created a series of over a dozen specific automations, capabilities, and AI capabilities that we’ve integrated. We just rolled out our TALK framework. We have a digital employee access bot we call Iris,” she said. The comment reflects a deliberate focus on employee-facing workflows where automation can be measured in ticket volume and resolution time.

> We created a series of over a dozen specific automations, capabilities, and AI capabilities that we’ve integrated. We just rolled out our TALK framework. We have a digital employee access bot we call Iris.Alexandra Guenther, SVP & CIO, Leidos

What Was Deployed and How It Works

Iris is the digital employee access bot built on a long-standing Moveworks partnership that is now under ServiceNow, according to the podcast. Moveworks is an AI agent vendor focused on employee support. Leidos rolled out the TALK framework alongside Iris, and both are part of the more than a dozen automations Guenther described.

The more than a dozen automations span a range of capabilities, from AI-assisted ticket triage to integration with ServiceNow’s employee-experience products. Guenther said on the podcast that Leidos treated the rollout as enablement, not as a technology outcome, which is why each automation was tied to a workflow problem rather than to a platform feature.

From an employee perspective, the change is visible in how a request is handled. Instead of opening a ticket and waiting for a technician, an employee can describe the problem to Iris, which can resolve common issues immediately or route the request to the appropriate human team. The goal, according to Leidos, is to make tier-one work invisible to employees and reserve human support for complex issues.

Guenther said she personally used the TALK chatbot capability to resolve a new laptop error in three minutes without calling the service desk. That example illustrates how the program is meant to work: employees interact with an AI agent first, and the service desk receives only the requests that require human judgment.

$3M+ — Projected annual savings from AI-driven IT help desk automation at Leidos

Technical Specifics: ServiceNow AI Platform and FedRAMP

Leidos is expanding its use of the ServiceNow AI Platform, including Now Assist, EmployeeWorks, HR Service Delivery, and AI Control Tower, across FedRAMP environments, according to the ServiceNow press release. FedRAMP is the U.S. government’s cloud security authorization program, and its use matters for a contractor that handles defense and intelligence workloads. The expansion indicates the automation program is not limited to IT; HR Service Delivery and EmployeeWorks point to employee-experience workflows beyond the service desk.

The platform’s agentic AI capabilities are what enable the service desk to resolve tickets without a human in the loop. For Leidos, the security requirements are central: any AI that touches employee data in a defense contractor environment must operate under the same compliance controls as the rest of the IT estate. The inclusion of AI Control Tower suggests Leidos is also adding oversight and guardrails around its AI agents.

Now Assist is ServiceNow’s generative AI capability embedded in the platform, and EmployeeWorks is aimed at HR service delivery. By deploying both across FedRAMP environments, Leidos is extending the same AI service model to human resources and other internal functions. The AI Control Tower component suggests an added layer of monitoring, which is important when AI agents have the authority to resolve tickets autonomously.

Leidos’s status as a federal contractor means the company cannot simply deploy consumer-grade AI tools without addressing data sovereignty and compliance. Running the ServiceNow AI Platform in FedRAMP-authorized environments gives Leidos a path to use the same AI capabilities in regulated workloads, including those tied to defense and intelligence missions.

| Metric | Reported target or outcome | Source |
| --- | --- | --- |
| Projected annual savings | More than $3 million | ServiceNow |
| Autonomous IT ticket resolution | Up to 60 percent | ServiceNow |
| Potential annual ticket elimination | About 80,000 | Washington Technology |
| Automation scope | More than a dozen automations and AI capabilities | Enterprise Software Blog |
| Employee self-service | Iris bot and TALK framework | Enterprise Software Blog |
| CIO self-service example | New laptop error resolved in three minutes | Enterprise Software Blog |

Quantified Results: What the Numbers Show

The projected outcomes are the headline numbers. ServiceNow says Leidos expects more than $3 million in annual savings, up to 60 percent autonomous IT ticket resolution, and the potential elimination of about 80,000 IT tickets each year. Washington Technology reported the same figures, citing Guenther. These are forward-looking estimates tied to the expanded ServiceNow deployment, not realized results; Leidos has not published a baseline ticket volume or a measured savings figure.

The 60 percent autonomous resolution target is the metric most likely to be watched by other CIOs. Autonomous resolution rates vary by vendor and deployment, but Leidos is publicly committing to a target that would remove the majority of tier-one tickets from the human queue. If achieved, that would change the staffing mix of the service desk and shift the role of human support toward complex problem solving.

The $3 million savings figure is the projected annual cost reduction, according to ServiceNow. Leidos has not specified whether the figure includes labor savings, software costs, or both. Washington Technology reported the same estimate, citing Guenther, which gives the number a second independent attribution.

- Identify real workflow pain points across tier-one IT support.
- Deploy more than a dozen specific automations, capabilities, and AI integrations.
- Roll out the TALK framework and the Iris digital employee access bot.
- Expand the ServiceNow AI Platform across FedRAMP environments with Now Assist, EmployeeWorks, HR Service Delivery, and AI Control Tower.
- Measure progress against targets of 60 percent autonomous resolution, 80,000 ticket eliminations, and $3 million in annual savings.

Market and Stakeholder Implications for Enterprise IT Leaders

Leidos’s program is a signal for other enterprise CIOs that internal IT operations can be an early proving ground for agentic AI. The service desk is a bounded, high-volume workflow with clear success metrics, making it easier to measure return on investment than many generative AI experiments. For a company of Leidos’s size, $3 million in projected annual savings is modest relative to total IT spend, but the broader value is in ticket elimination, faster resolution, and redirecting service desk staff to higher-value work.

The strategy also reflects a governance principle that Guenther articulated in the podcast title: treat AI as enablement, not as an outcome. Instead of launching a generalized AI initiative, Leidos built a set of specific automations tied to actual employee pain points. That discipline is what separates the service desk project from pilots that fail to move beyond proof of concept.

The Leidos example also shows how platform consolidation can accelerate AI adoption. Moveworks was a standalone AI employee-support vendor before its acquisition by ServiceNow, and Leidos’s decade-old relationship with ServiceNow meant the AI capabilities could be added to an existing governance structure rather than bolted on as a separate product.

For enterprise buyers, the practical takeaway is that AI agents are most effective when they are embedded in systems employees already use. Leidos employees do not need to learn a new application; they interact with Iris through the same service desk portal and chat interface they already know. That lowers adoption friction and makes the automation measurable.

Expert Reaction: CIO Alexandra Guenther on the ServiceNow AI Platform

In the ServiceNow press release, Guenther framed the deployment in terms of mission outcomes and operational efficiency. “We’re advancing our use of the ServiceNow AI Platform to augment our AI capabilities to make it easier for employees to deliver mission-critical outcomes at speed and scale, with the security our work demands. ServiceNow AI is helping us automate routine requests so our service desk teams can focus on more complex issues, improving both the employee experience and operational efficiency,” she said.

> We’re advancing our use of the ServiceNow AI Platform to augment our AI capabilities to make it easier for employees to deliver mission-critical outcomes at speed and scale, with the security our work demands. ServiceNow AI is helping us automate routine requests so our service desk teams can focus on more complex issues, improving both the employee experience and operational efficiency.Alexandra Guenther, Chief Information Officer, Leidos

The press release quotation is notable because Guenther ties the AI deployment directly to mission outcomes, not just to cost savings. For a company whose workforce supports defense and intelligence missions, operational efficiency is a security issue as well as a financial one; faster IT resolution means employees spend less time on administrative friction and more time on mission work.

What Peer Executives Should Take Away

Peer executives can draw three lessons from the Leidos rollout. First, choose a high-volume, well-defined workflow where automation can be measured in tickets, time, and cost. Second, build on existing platform relationships rather than introducing a new stack; Leidos extended a decade-old ServiceNow partnership instead of starting fresh. Third, have senior leadership use the tools themselves; Guenther’s three-minute laptop resolution is the kind of evidence that builds organizational confidence.

Automating tier-one IT work changes the role of the service desk. If up to 60 percent of tickets are resolved autonomously, human technicians will spend more time on complex incidents, project work, and employee enablement. Leidos has not announced staffing changes, but the workforce implication is clear: the value of service desk staff shifts from transaction handling to judgment and escalation.

What Comes Next

Leidos is expanding the platform across FedRAMP environments and into HR Service Delivery, which suggests the playbook is moving beyond IT. EmployeeWorks, another ServiceNow product in the rollout, targets HR workflows, so the same agentic approach could eventually absorb routine HR requests such as benefits and onboarding questions. AI Control Tower, meanwhile, gives the company a mechanism for monitoring and governing the agents it deploys.

Another open question is whether the 80,000-ticket elimination estimate is measured against current ticket volumes or a projected baseline. Leidos has not published that baseline, so the number should be read as a target rather than a result. The company also has not said how quickly the 60 percent autonomous resolution rate will be reached.

The service desk of the future at Leidos is still in the early stages of a multiyear expansion, and the projected savings and resolution rates have not yet been reported as achieved. But the program is a concrete example of a Fortune 500 company applying agentic AI to a real operational workflow, with named executives, named platforms, and quantified targets. For other enterprises, the question is not whether to experiment with AI agents but which high-volume workflow will produce the first measurable win.

## Sources

1. [Leidos created more than a dozen automations, rolled out the TALK framework, deployed the Iris bot, and moved tier-one support to self-service.](https://enterprisesoftware.blog/podcasts/ep-72-treating-ai-as-enablement-not-outcome-with-leidos-svp-cio-alexandra-guenther)
2. [Leidos projects more than $3 million in annual savings, up to 60 percent autonomous IT ticket resolution, about 80,000 potential ticket eliminations, and an expansion of the ServiceNow AI Platform across FedRAMP environments.](https://newsroom.servicenow.com/press-releases/details/2026/Leidos-reimagines-experiences-for-50000-employees-and-boosts-operational-efficiency-with-the-ServiceNow-AI-Platform/default.aspx)
3. [Leidos expects ServiceNow’s AI-driven IT desk to save $3 million annually, autonomously resolve up to 60 percent of IT tickets, and potentially eliminate as many as 80,000 IT tickets each year.](https://www.washingtontechnology.com/companies/2026/07/leidos-saving-money-employee-time-through-expanded-servicenow-partnership/415095/)

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Source: https://aiintelreport.com/enterprise-ai/leidos-ai-service-desk-iris-servicenow
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