CIOs Urged to Adopt AI-Orchestrated Service Desks to Reduce Tickets and Improve Resilience, Says Info-Tech Research Group

Rising ticket volumes and fragmented IT systems pose challenges to service desks across various industries. To address these challenges, Info-Tech Research Group has published a three-phase AI implementation blueprint that provides practical tools, use cases, and governance guidance. By combining AI with human expertise, the firm's resources help CIOs, IT leaders, and service desk managers transform reactive service desks into intelligent, efficient, and strategically valuable operations.

TORONTO, Aug. 28, 2025 /PRNewswire/ - Despite the surge in AI adoption, many organizations continue to struggle with fragmented legacy systems, poor data readiness, and inconsistent governance, leaving IT service desks reactive and overwhelmed. According to newly released insights from Info-Tech Research Group, sustainable transformation of the service desk requires an AI-orchestrated model that integrates automation, governance, and human oversight to build resilience and improve the user experience.

To help IT leaders overcome technology adoption barriers such as poor data quality, high costs, governance costs, and agent fears about job security, the global IT research and advisory firm has recently published its blueprint, Implement an AI-Orchestrated Service Desk, which outlines a phased approach to transform service desk operations with AI. Info-Tech's blueprint provides organizations with practical tools and use cases to implement AI in ways that deliver organizational efficiency and long-term value.

"Although AI can help the service desk reduce costs through staff optimization and a decrease in ticket volume, this perspective is short-sighted," says Mahmoud Ramin, a senior research analyst at Info-Tech Research Group. "The true power of AI in the service desk lies in orchestrating an intelligent ecosystem, coexisting with human expertise to build resilience, transform the user experience, and ultimately reduce the need for tickets altogether."

AI-Orchestrated Service Desks: Info-Tech Research Group Outlines Three Implementation Phases

Info-Tech's Implement an AI-Orchestrated Service Desk blueprint outlines a three-phase methodology designed to help IT leaders plan, implement, and continuously improve AI within service desk operations. The firm's approach provides organizations with practical guidance to align AI with organizational priorities while addressing common adoption challenges. The three phases include:

Phase 1: Identify Goals and AI Use Cases

CIOs, IT operations managers, and service desk leaders define AI objectives, align goals with business strategy, assess service desk satisfaction, and prioritize potential AI use cases that deliver the greatest measurable value and readiness.

Phase 2: Define AI Implementation Requirements

With AI use cases prioritized, teams establish clear guidelines for AI integration into service desk processes. This phase addresses solution requirements, including user and data needs, process integrations, potential implementation risks, and mitigation strategies, to ensure a structured and secure deployment.

Phase 3: Optimize and Expand AI Capabilities

After deployment, IT and service desk teams track AI performance using defined metrics, involve stakeholders through adoption planning, and implement ongoing training and governance. This process ensures that AI in service desk operations is continuously updated, proactive, and predictive, and guides service desk agents into more strategic roles that deliver higher organizational value.

By following the step-by-step approach detailed in this resource, IT leaders can transform service desks from reactive operations into orchestrated, intelligent environments. More than just improving efficiency, Info-Tech's blueprint highlights how combining AI with structured processes and human expertise turns the service desk into a strategic enabler of resilience, continuous improvement, and a better end-user experience.

"If AI is deployed as a standalone tool, your investment may be wasted, and it may even lead to complexities instead of streamlining processes," explains Ramin. "To get the most benefits out of AI for service management, make sure to align AI capabilities with your service desk workflows and operational governance framework."

For exclusive and timely commentary from Mahmoud Ramin, an expert in service desks, and access to the complete Implement an AI-Orchestrated Service Desk blueprint, please contact [email protected].

About Info-Tech Research Group

Info-Tech Research Group is one of the world's leading research and advisory firms, serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

To learn more about Info-Tech's divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights.

Media professionals can register for unrestricted access to research across IT, HR, and software, and hundreds of industry analysts through the firm's Media Insiders program. To gain access, contact [email protected].

For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

SOURCE Info-Tech Research Group