From Point Solutions to a Unified Experience
Schmitzer says most organizations don’t begin their modernization journeys by asking for enterprise service management. Instead, they often approach CDW looking to replace an aging IT service management tool — only to discover that similar pain points exist across the enterprise.
“Customers usually come to us saying, ‘We need to replace our IT service management solution,’” he says. “But what we uncover is a larger enterprise service management opportunity because that same disjointed experience exists across all their departments.”
For state and local agencies, that fragmentation can be especially costly. Separate systems for HR, procurement, facilities and IT often lead to siloed data, inconsistent processes and frustrated employees. ESM consolidates those experiences into a single digital front door.
Schmitzer described it as creating a “Grand Central Station of services,” where employees can request support, search for information and interact with automated agents through one platform. The result, he says, is faster fulfillment, higher satisfaction and less friction.
“This is about automation improvements, faster time-to-fulfillment and better experiences,” he says. “Instead of going to 18 different systems, you’re going to one place — and you’re getting answers faster.”
READ MORE: AI is a top management priority for government in 2026.
AI Raises the Bar for Government Services
AI is becoming a central part of those conversations, Schmitzer says, but not necessarily the starting point.
“AI comes up in almost every conversation now,” he says. “The demand is already there. The real question is whether it can be done practically — something agencies can actually get up and running and prove value from.”
However, he cautioned that AI cannot succeed without clear processes and strong data governance.
“You can’t solve with AI if you don’t know the destination you’re trying to get to,” he says.
That message resonates with government leaders navigating both the promise and the demands of AI. Without well-defined workflows and reliable data, agencies risk automating inefficiencies rather than fixing them.
