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For nearly two decades, IT Service Management was considered the gold standard for running enterprise IT. Organizations invested heavily in incident management, change control, service catalogs, CMDBs, SLAs, and knowledge bases. Frameworks like ITIL became industry staples, and tools were evaluated primarily on how effectively they could support these processes.

And for a while, it worked.

But the world ITSM was designed for no longer exists.

Traditional ITSM assumed that users would raise tickets, support agents would triage them, approvals would move sequentially through the organization, and issues would eventually be resolved by humans following documented processes. Efficiency meant reducing the average time taken to close a ticket. Success was measured through metrics such as Mean Time to Resolution (MTTR), first-call resolution, and SLA compliance.

Today, those metrics feel increasingly outdated.

Employees no longer compare their workplace experiences with other enterprises. They compare them with consumer platforms. When an employee can order groceries, book a cab, or receive personalized recommendations within seconds, waiting three days for software access feels unreasonable. The expectation has shifted from service delivery to service immediacy.

This is precisely where traditional ITSM starts to show its age.

Modern enterprise platforms such as ServiceNow have quietly evolved beyond service management. They have become workflow orchestration platforms that sit on top of HR processes, security operations, customer service, facilities management, procurement, and increasingly, AI-powered decision engines.

The ticket itself is becoming irrelevant.

Consider something as simple as a password reset. Under traditional ITSM, a user raises a request, an analyst verifies identity, approvals are checked, access is restored, and the ticket is closed.

Under Intelligent Service Management, there may never be a ticket at all.

An AI agent detects the issue, validates identity, checks policy constraints, performs the reset, updates the audit log, notifies the employee, and records the transaction for compliance purposes. The problem is solved before anyone has the opportunity to create an incident.

That distinction matters.

ITSM optimized how humans handled requests.

Intelligent Service Management focuses on ensuring that requests don't require human handling in the first place.

This isn't just theory. Gartner predicts that by 2029, agentic AI will autonomously resolve 80 percent of common customer service issues without human intervention. Enterprises are already experimenting with predictive incident management, AI-assisted change approvals, self-healing infrastructure, and virtual support agents embedded directly within collaboration platforms.

The shift also changes what organizations should measure.

For years, enterprises celebrated reducing ticket resolution times from eight hours to four.

Intelligent Service Management asks a more uncomfortable question.

Why did the ticket exist at all?

Did the employee need to wait for approval?

Could the issue have been prevented?

Could access have been provisioned automatically based on role changes?

Could the system have detected and remediated the issue before the user noticed it?

These questions move organizations away from service management and toward experience management.

Ironically, many enterprises are still investing in improving legacy ITSM processes while their competitors are redesigning service delivery entirely. They're using AI to classify requests, automation to execute actions, workflow intelligence to anticipate demand, and agentic systems to make low-risk decisions autonomously.

The companies that will lead the next decade won't necessarily have the best support teams.

They'll have the fewest support interactions.

And that may be the clearest signal that ITSM, at least in the form we grew up with, is slowly becoming a historical concept.

Long live Intelligent Service Management.

FAQs

1. Is ITSM really dead?

Not exactly. Core ITSM practices such as incident management, change control, asset management, and knowledge management remain critical. What is changing is the operating model around them. Organizations are moving from reactive service delivery toward proactive and autonomous service experiences powered by AI, automation, and workflow intelligence.

2. What is Intelligent Service Management?

Intelligent Service Management is the evolution of traditional ITSM. It combines workflow platforms, automation, AI, predictive analytics, and autonomous agents to resolve issues with minimal human intervention. The objective is not to manage tickets better but to eliminate unnecessary tickets altogether.

3. How does ServiceNow fit into this shift?

ServiceNow has evolved far beyond its origins as an ITSM tool. Today it acts as a workflow platform connecting IT, HR, customer service, security, procurement, and operations. Its investments in generative AI, workflow data fabric, and AI agents position it as a key enabler of Intelligent Service Management.

4. What skills should ITSM professionals develop for the future?

Professionals should look beyond traditional ITIL practices and build capabilities around workflow design, automation, AI-assisted operations, ServiceNow development, process mining, and agentic AI concepts. Understanding business workflows will become as important as understanding technology.

5. What should enterprises measure instead of MTTR?

Metrics such as ticket deflection rates, self-service adoption, autonomous resolution percentages, employee experience scores, workflow cycle times, and issue prevention rates provide a better picture of maturity in Intelligent Service Management environments.