UNISYS CORPUIS

Unisys launched AI-enabled solutions, stood up agentic application factory, and upskilled workforce.

“A foundation fortified over the past three years STRATEGIC DIRECTION Reset market perception Launched AI-enabled solutions Stood up agentic application factory Climbed analyst rankings Upskilled workforce Streamlined operating model Expanded profitability Improved pre-pension free cash flow”

Unisys evolves to AI-First model with ClearPath AI, agentic-first workforce transformation, and AI-augmented delivery.

“Our strategy, evolved From a foundational growth framework to an AI-First operating model 2023 CORE ELEMENTS OF STRATEGY 2026 PRIORITIES FOR THE NEXT CHAPTER Addressable market growth Solution development ClearPath Services and Industry Solutions Land and expand Margin expansion Operational excellence New adjacencies AI embedded, not bolted on ClearPath as a pillar of enterprise AI Drive pipeline through precision targeting and partnership engine Complete the agentic-first workforce transformation Unlock free cash flow — and consider returning capital WHAT'S CHANGED SINCE 2023 ClearPath AI at the core of the platform, and modernization without disruption Depth, not breadth, of partnerships Targeted focus on OEMs, hyperscalers and frontier-model providers AI-augmented delivery Mix of digital and human labor delivering at scale Enhanced capital flexibility Refinanced and upsized debt, mitigated pension volatility, path to FCF generation STRATEGIC DIRECTION”

Unisys discusses agentic AI as a strategic inflection point with market growth projections.

“STRATEGIC DIRECTION “Agentic AI is emerging as a strategic inflection point. This new class of AI isn’t just speeding up innovation. It’s reshaping how work gets done, how people contribute, and how industries will grow in the years ahead.” $450B Economic value created by agentic AI by 20281 33% Of enterprise software applications will contain agentic AI by 20282 10x Increase in AI agents by 20273 44% Agentic AI market CAGR over next decade4 Why now? The agentic inflection point”

Unisys plans to reinvent as leader in agentic-world IT solutions and evolve workforce with AI.

“© 2026 UNISYS CORPORATION. ALL RIGHTS RESERVED. CONFIDENTIAL AND PROPRIETARY INFORMATION. 12 STRATEGIC DIRECTION things to take home Reinventing as a leader in future state, mission-critical IT solutions, built for an agentic world Evolving our workforce through AI-First capabilities and delivery Reaching positive free cash flow inflection and transforming capital structure 01 02 03 04 Accessing a larger market opportunity through an integrated AI framework and go-to-market model”

Unisys is creating agentic solutions and evolving to an AI-powered workforce.

“Agentic solutions Creating systems of action Unisys AI transformation AI-First. Full-stack. Partner-enabled. Built for scale. Strategy and partnerships Flexible, full-stack and expanding AI-powered workforce Human capital + digital labor FUTURE-READY SOLUTIONS & SERVICES”

Unisys embeds integrated enterprise AI including agentic capabilities in its portfolio.

“Unisys AI capabilities at the core Integrated enterprise AI embedded in our portfolio Strategy and Engineering Data for AI Process AI Agentic Modernization AI Infrastructure Responsible AI AI that delivers value High-impact business outcomes infused with security and flexibility at the core FUTURE-READY SOLUTIONS & SERVICES”

Unisys discusses client need for digital transformation incorporating digital workforce from generative and agentic AI.

“Organizations are increasingly reliant on the IT estate to achieve critical business and organizational outcomes. A well-built IT estate provides the foundation for an organization to maximize returns on technology investments while simultaneously reducing risk and minimizing disruptions that have potentially far-reaching competitive, operational, and reputational impacts. The accelerating pace of innovation throughout the technology stack, increasing regulation, growing technical debt and skill gaps, and evolving threat landscapes make maintaining and evolving the IT estate more complex. At the same time, emerging technologies, such as generative AI and agentic AI, are laying the foundations for a growing “digital workforce.” To remain competitive, clients increasingly must develop and execute on digital transformation roadmaps that incorporate integrating the “digital workforce” throughout their organization. In the context of these stakes and complexities, leveraging external expertise of IT service providers to advance and manage the IT estate is of increasing strategic importance and allows clients to focus on their core businesses.”

Unisys expects agentic AI to drive demand for its IT advisory, engineering and managed services.

“The evolution of AI is moving beyond the confines of Generative AI and deep reasoning toward the emerging paradigm of agentic AI. Unlike traditional models that focus on generating content or solving simple problems in isolation, agentic AI introduces autonomous, goal-driven systems capable of planning, reasoning, and acting within dynamic environments to solve complex problems. These agents rely on iterative AI inference to execute advanced decision-making with contextual adaptability, enabling them to execute multi-step tasks, collaborate with other systems, and respond intelligently to unforeseen challenges. This shift represents a critical leap toward AI systems that are not just reactive but proactive, paving the way for applications in areas such as autonomous operations, personalized digital assistants, and complex enterprise workflows. We expect rapidly developing effective AI agents and strategically applying them to business processes to accelerate growth or reduce costs will become critical for our clients to compete in their markets. Doing so will require the ability to effectively maintain and structure the right enterprise data, curate knowledge, reinforce learning, and allow for humans in the loop. As a result, we expect agentic AI to be an important demand driver for IT advisory, engineering and managed services to support agentic AI workloads in the coming years.”

Unisys offers Next-Generation Service Desk using its SEA framework with generative and agentic AI.

“• Next-Generation Service Desk. Our solution for front-end IT support services provided by virtual or human agents and typically in response to IT support requests generated by an end user. Our Service Experience Accelerator (SEA) is our technology framework for delivery, harnessing generative and agentic AI, service data, analytics, and intelligent workflow automation to provide highly automated and hyper-personalized omnichannel support (phone, email, chat and self-service portals) within a client’s trusted network. Proactive AI-driven automation resolves common issues, reduces downtime, and continuously updates the knowledge base for agents and users. Augmented reality and remote assist capabilities enable rapid resolution of complex problems, while data-driven insights optimize service delivery. Next-Generation Service Desk adapts to user personas, supports expanded business functions beyond IT, and is powered by SEA for seamless process and knowledge management. Service desk engagements also integrate Enterprise Service Management offerings related to IT support operations, Service Management platforms, centralized service catalogues, automation libraries and complex enterprise workflows.”

Unisys notes risks from rapid AI innovation including generative and agentic AI in evolving services.

“Our success depends, in part, on our ability to continue to develop and implement services and solutions that anticipate and respond to rapid and continuing changes in technology and offerings to serve the changing needs of our clients. For purposes of definition, rapid technological innovation includes, but it is not limited to, AI. AI is meant to include any branch of computer science, including classical archetypes such as machine learning and symbolic logic, and emerging technologies such as generative and agentic AI frameworks, modern computing methods like quantum, and multi-layer computing. Our services and solutions are continually evolving because of AI, automation including AI enabled components, hybrid computing architectures, high performance and edge computing, infrastructure and network engineering and intelligent connected solutions. As we expand our services and solutions, we may be exposed to operational, legal, regulatory, compliance, ethical,”

Unisys warns of liability and reputational risks from using developing AI and agentic AI technologies.

“Using AI and other machine learning technologies, including agentic AI, while they are still developing may expose us to liability, reputational harm and litigation risk, particularly if such technologies produce errors, bias, hallucinations, harmful or unethical content, discrimination, intellectual property infringement or misappropriation, data privacy or cybersecurity issues,”

Unisys describes general industry use of generative AI agents and chatbots.

“AI and automation continue to be interwoven to drive value. Organizations are leveraging AI to automate IT operations spanning security, development and networking to continually monitor, identify and proactively respond to performance issues. Organizations are also using AI to automate repetitive tasks, facilitate enterprise access to knowledge and reduce operational costs. Customer and employee experience is being transformed through generative AI agents and chatbots, providing personalized and responsive interactions. Research and development costs and development timelines are being reduced through code generation technologies leveraging Large Language Models (LLMs). In marketing, for example, AI and generative AI enable targeted campaigns, personalized recommendations and customer segmentation, leading to more effective and data-driven strategies. Overall, integrating AI and embedding LLMs into business processes enhance decision-making, operational agility and customer service, which we believe contribute to a competitive advantage in the modern business landscape.”