Today, CX leaders are under pressure to deliver seamless, connected journeys, yet many organizations continue to struggle despite heavy investment in CX technology.
Thanks to the decreasing prices of tools, intelligence, and automation, CX is now constrained by operating models that fragment data, ownership, and execution across teams.
As a result, CX has become an operating model problem, forcing organizations to rethink how customer work is coordinated, governed, and delivered across increasingly complex systems, teams, and channels.
Speaking with CX Today, Jessica Keehn, CMO at SAP, argues that the real obstacle to better CX is not insufficient intelligence, but the inability to orchestrate that intelligence across fragmented systems, teams, and data sources.
She said:
“The goal for brands should not be to introduce more agents, but to connect the right agents around a shared source of truth so teams can act faster and with less friction.”
The Coordination Gap Beneath Modern CX
Many CX failures often originate long before the customer notices them, as organizations attempt to coordinate growing numbers of tools, platforms, and systems across multiple departments.
As these technologies expand, operational complexity increases, with disconnected tools creating fragmented processes, unclear accountability, and limited visibility into customer-related tasks.
From here, a gap emerges in which CX teams are expected to deliver seamless outcomes without the authority or operational structure to coordinate the underlying systems effectively.
“Companies need a clear inventory of agents, defined access controls, visibility into what each agent is doing, and confidence that every agent is operating safely,” Keehn explained.
In the absence of governance, organizations struggle to understand how decisions are made, as visibility into customer data locations and the systems responsible for critical actions is lacking.
As a result, this fragmented environment makes it difficult to maintain consistency across customer journeys, especially when multiple teams independently deploy their own AI or automation capabilities.
This can cause unwanted friction visibility in the journey, as customers are not meant to experience this complexity directly.
Keehn said:
“That complexity should take place behind the scenes, so the user experience feels simple.”
However, many organizations unintentionally expose internal fragmentation through inconsistent service experiences, repeated handoffs, and disconnected interactions.
As a result, customers are often made aware of operational silos when they are required to repeat information, wait for teams to coordinate internally, or receive conflicting responses from different systems.
For a customer, these problems reflect failures in orchestration rather than failures in customer-facing technology alone.
This growing operational burden therefore affects the employees responsible for delivering customer outcomes, where modern CX environments often require workers to navigate multiple systems and workflows simply to complete a single task.
“A marketer should not have to know which agent can identify a key audience, check inventory, generate content, adapt a campaign, or trigger the next best action,” explained Keehn.
When employees are required to manually manage system complexity, efficiency declines, and coordination gaps increase.
From here, this reveals the deeper operating model problem: organizations are continuing to add tools and automation layers without redesigning their environments in accordance.
Fragmentation Is the Enemy of Experience
Many CX challenges can primarily be traced back to fragmented data and disconnected operational systems spread across the enterprise, where teams operate independently by using separate platforms, workflows, and reporting structures.
Despite assumed effectiveness, the lack of integration across functions creates gaps in visibility and coordination, as many organizations struggle to build a complete understanding of the customer journey, this makes it difficult to deliver consistent, targeted experiences across channels and touchpoints.
As a result, this fragmentation weakens both operational efficiency and customer trust, as teams may frequently make decisions using incomplete information because no single system contains the full customer context.
Customer interactions therefore become inconsistent because departments cannot access shared histories, preferences, inventory updates, or service status in real time.
“Too many organizations still have marketing, sales, commerce, service, supply chain, and finance running on separate systems, each with a partial view of the customer and the business,” Keehn continued.
This separation then creates operational silos that prevent organizations from coordinating customer work effectively, even when advanced AI, analytics, and automation tools are available.
The issue is therefore larger than data integration alone, as a coherent customer experience requires organizations to rethink how information, workflows, and decision-making operate together across the business.
Keehn stated: “To achieve coherent CX, three components must be in place.
“Together, these components allow brands to move from fragmented engagement to coherent execution.”
Therefore, successful CX depends on a coordinated operating model that connects systems, aligns teams, and enables shared visibility across functions, enabling organizations to move beyond fragmented engagement toward coordinated execution.
As customers increasingly expect interactions to feel continuous regardless of channel or department, achieving that continuity requires shared data structures, real-time operational awareness, and governance models that allow teams and systems to act from the same customer understanding.
Therefore, disconnected systems are evidence of an operating model that was not designed to support integrated customer experiences at scale.
CX in the Age of Continuous Context
Whilst traditional omnichannel approaches of maintaining consistency have improved accessibility and channel coverage, customer expectations have evolved beyond just having multiple connected channels.
Today, customers expect continuity throughout their entire journey, where each interaction reflects an ongoing understanding of their context, preferences, history, and current needs.
This reflects a widespread operating model problem as many organizations still manage channels as separate operational functions.
Now, consistency alone does not guarantee connected customer interactions, as many organizations still rely on traditional, fragmented systems that prevent context from carrying across in real time.
As a result, customers often encounter disconnected experiences, as these breakdowns reveal that omnichannel coordination without operational continuity is insufficient for modern CX expectations.
To ensure true continuity, this shift requires organizations to coordinate through both communications, operational systems, and business processes that support customer interactions.
This means organizations must now design operating models capable of maintaining shared visibility and synchronized execution across the entire customer lifecycle, transforming how they engage with customers.
“Constant experience requires continuity across touchpoints, context, and operations,” explained Keehn.
“For customers, the experience feels seamless. For companies, it means engagement is no longer based on disconnected snapshots but on live business signals.”
Achieving this level of continuity, therefore, requires organizations to rethink how customer work is orchestrated across business functions, as many will now have to battle the limitation of whether their operating model can support connected, outcome-driven experiences at scale.
