For decades, enterprise IT has reinvented itself — cloud, mobile, SaaS, AI — yet IT service management has remained largely unchanged. Employees still navigate clunky portals, submit tickets, and then wait. That model is no longer acceptable.
The pressure is mounting – our research found an 18% surge in IT project requests and that 29% of IT projects aren’t delivered on time. Businesses move faster than ever, and employees expect seamless digital experiences. Any friction in IT service slows productivity, frustrates teams, and drives costs sky-high. Enter agentic IT service, a new approach that uses AI agents to transform how support is delivered and experienced.
IT service is entering a new era – and enterprises that fail to embrace it risk falling behind. Here are four trends shaping the future of ITSM.
4 trends defining the future of ITSM
1. The end of the ticket-centric IT model
Traditional ITSM platforms were designed around a single concept: the ticket.
Every issue becomes a request. Every request enters a queue. And every queue requires people to triage, route, and resolve it. That model has created an entire operating structure around ticket management — from support tiers to consulting services to costly system integrations.
The result? Employees lose productivity while waiting for issues to be resolved, while IT teams spend significant time managing queues instead of solving problems. In the future of ITSM, the ticket will no longer be the center of IT service – it’ll be AI agents.
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2. AI agents will resolve most everyday IT issues
A significant portion of IT requests are routine: password resets, Wi-Fi connectivity issues, application access requests, and onboarding tasks. When Salesforce analyzed anonymized customer ticket data, the findings were striking: just 10 categories of simple tasks accounted for nearly 90% of all requests.
These are precisely the types of issues AI agents are well suited to resolve. Agentic systems use natural language to understand employee requests and leverage context — such as role, permissions, and device configuration — to take action automatically.
Instead of sending troubleshooting instructions or routing requests through multiple queues, AI agents can reset passwords, grant app access, diagnose connectivity issues, manage onboarding requests, and resolve common device and software problems. For these high-volume requests, organizations are seeing dramatic improvements. This shift allows IT teams to focus their expertise where it matters most.
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3. Human and AI collaboration will define IT operations
The rise of AI agents doesn’t mean IT professionals will vanish.
Instead, it allows them to focus on work that truly requires human judgment — complex incidents, architecture decisions, security issues, and strategic planning. And, of course, both AI and human agents will collaborate within shared workflows. This partnership will reduce the overload that many service desks experience today.
Rather than being overwhelmed by thousands of repetitive requests, IT teams can concentrate on solving systemic issues and improving infrastructure reliability.
4. IT service will become proactive instead of reactive
Most IT service today begins after something breaks. Employees encounter a problem, open a ticket, and wait for assistance. But with modern observability, unified data, and AI agents, IT service can shift toward prevention.
Agentic ITSM can analyze signals across devices, applications, and infrastructure to detect problems early — sometimes before employees notice them.
Examples include:
- Detecting failing hardware before outages occur
- Automatically remediating software issues
- Resolving system misconfigurations in real time
- Identifying patterns that cause recurring incidents
This proactive service model eliminates much of the downtime and frustration that employees experience today. The goal of today and tomorrow’s ITSM software is simple: fix issues before they disrupt work.
The horizon: accelerate transformation or get left behind
For years, IT service modernization lagged behind broader IT innovation. Today, change is accelerating. AI agents orchestrate across systems, legacy platforms are augmented rather than replaced, and predictive analytics are expanding.
The portal-to-ticket era is ending. Conversations, proactive action, unified platforms, and human-AI collaboration define the future of ITSM. Organizations that embrace these trends will not only resolve issues faster but redefine how employees experience work — more productive, more connected, and more empowered than ever before.
The question isn’t whether IT will evolve. It’s whether organizations will lead that evolution or be left playing catch-up.
The future of IT service is agentic
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