For years, enterprises have treated customer experience transformation as a technology problem. New platforms have promised richer engagement, more channels for customers to interact with brands and better analytics on those interactions. The result was an explosion of CX tools across marketing, sales, service, and digital teams.
But the modern CX stack often resembles a collection of powerful organs without the connective tissue needed to make them function as a single system.
Customer data sits across dozens of applications. Journeys break between channels and agents scramble to piece together fragmented context while customers repeat themselves. Instead of delivering seamless experiences, many enterprises have created environments defined by noise and fragmentation.
This is the reality behind what many leaders now describe as IT fatigue, the operational strain caused by too many disconnected systems.
As Keith Wilson, Executive Director of Product Management for Customer Experience at CSG, told CX Today, the issue stems from a well-intentioned pattern of constant technology investment and expansion.
“Often, it’s the tale of too many tools. People are certainly feeling as if they are constantly trying to juggle and piece together the exact experience that a consumer had across a variety of different technology stacks.”
What enterprises built over the past decade was meant to enable omnichannel engagement. In practice, the proliferation of tools and channels often created environments where customer context moves too slowly, or not at all, between systems.
The problem is the lack of connective tissue linking modern tools together to provide the context CX teams need deliver the personalization customers expect.
Overachieving in Omnichannel Creates CX Complexity
The omnichannel vision promised consistency across every touchpoint: websites, apps, messaging platforms, call centers, and physical locations.
As organizations added each new channel, however, they also added new streams of data, content requirements, and operational complexity.
“For the better part of 15, 20 years, we heard about the promises of omnichannel. But we never heard about the woes of overachieving on omnichannel and having too much,” Wilson pointed out.
Customers have different expectations for how they want to be treated, and how they want to be able to interact with a brand. But keeping these channels aligned quickly becomes difficult and internal systems can struggle to synchronize the growing number of interactions.
Wilson describes this dynamic as the unintended consequence of a successful idea pushed too far.
“There’s definitely a way out. But that’s the crux of it, this overachievement on a good idea to a point of too much chaos.”
The Customer Impact of IT Fatigue
When systems cannot share context efficiently, customers feel the friction immediately.
A service agent may lack visibility into recent digital activity, or a mobile app may display different information than a website. Automated notifications may arrive after the issue they reference has already been resolved.
As Wilson pointed out: “Customers know when their data is wrong. There’s no better litmus test than … ‘I know I changed that’ or ‘I know that system over there and that system over there must be different.’”
These inconsistencies affect trust, because when customers feel that a company doesn’t understand their history or preferences, they begin to question whether it can reliably meet their needs.
Billing interactions are a frequent trigger that exposes fragmentation, Wilson noted.
Companies regularly introduce new subscription models, bundles, and promotions to remain competitive. Those innovations require coordination across pricing systems, CRM platforms and support workflows, and it quickly becomes apparent if those systems fall out of sync, Wilson noted.
“The number one time that a customer is going to initiate a journey with you that starts with an emotion of frustration is when they look down and say, ‘Why was I charged when I was just charged?’”
Without a unified view of offers and potential next actions, service teams struggle to resolve the issue efficiently. What should be a simple clarification can evolve into a lengthy investigation across multiple systems.
Tackling that means bringing together business and IT functions to focus on the customer journey, which is rarely as simple as it appears, Wilson noted.
“The first tenet of business and tech working better together is getting to that common shared vision of finding what’s broken before we start fixing.”
“When it comes to fixing, there’s another panacea to this tension that happens between business and tech, which is if you focus on the actual consumer value and how much you might be reducing customer effort and combine that with business value, this quickly becomes a team sport.”
Journey analytics tools allow teams to consolidate signals from multiple channels and arrange them chronologically, revealing patterns that individual systems cannot detect.
“You can see customers switching channels and coming, doubling back. You can see customers and how long they waited on the contact center hold line while they used your mobile app,” Wilson said. “Suddenly it’s just so palpable how often people are kind of stuck in doom loops.”
These insights create a shared understanding between CX leaders and IT teams, allowing them to prioritize improvements based on real behavior rather than assumptions.
Building the Connective Tissue
If IT fatigue stems from fragmented systems, the solution involves connecting them more effectively.
Rather than replacing every platform in the CX stack, many enterprises are introducing orchestration layers that coordinate data and workflows across existing technologies. These systems link signals from different channels to determine the next best action for the customer.
“This concept of being able to define what the ideal experience should be, regardless of channel, is very powerful,” Wilson said.
By separating customer experience logic from channel-specific execution, orchestration tools allow organizations to design journeys around outcomes rather than individual technologies. They also enable real-time interventions when customers encounter friction.
For example, if data indicates that a customer has repeatedly attempted to complete the same task online, the system can proactively provide guidance through another channel.
“You can send them a text message and say, ‘Hey, it looks like you’re trying to do X., click this form—, we promise it’s the only part of our website you need,’” Wilson said.
Small interventions like this can resolve issues quickly while reducing contact center interactions.
Proving the Value of Connection
For CX leaders confronting IT fatigue, early evidence matters. Wilson suggests evaluating outcomes through three categories.
“You have to be looking at three buckets. Make money, save money, build brand equity.”
These categories align CX initiatives with broader business goals:
- Increased revenue through higher engagement or conversion
- Lower operational costs through reduced service demand
- Stronger advocacy through improved experiences
The need for connective tissue across the CX stack will become even more significant as organizations adopt AI-driven experiences.
Automated agents and intelligent workflows will handle more interactions, making coordination between systems critical.
“We know how complex experience can be and has been for the last three to five years, 10 years. Now there are going to be moments where we’re basically handing the playbook over to AI.”
Without strong orchestration, AI systems risk amplifying the fragmentation already present in many CX environments.
After a decade defined by the rapid expansion of technology stacks, the next stage of customer experience transformation centers on the connective tissue needed to make those tools work together.
