When we talk about “enterprise CX,” we’re describing a process in which multiple teams inside a business try to analyze and anticipate customer behavior and then act on those insights towards desired outcomes. But try to make that happen and you soon find that the contact center remains woefully cut off from the people and systems that need to be involved. The links between service centers and back offices are often thin, ad hoc and not designed to foster continuous information flow.
This is unfortunate because the X in CX is the outsider’s experience, and customers don’t X your organization the way you do. They don’t see a front office and a back office. They don’t see separate teams, systems, workflows or KPIs. They don’t care which group owns the interaction and which group owns the task that follows it. They experience one issue, one journey and, ultimately, one outcome.
And what they remember about it comes down to: Did my problem get solved? Did I have to work to get there? Did it feel like the company knew what it was doing? Think about how often organizations still measure success locally rather than end to end. The contact center may measure speed. The back office may measure throughput. Another team behind the scenes may measure accuracy or compliance. All are reasonable metrics, but the customer experiences only the combined result. And when those measures are not aligned, the customer has a less-than-optimal experience and the enterprise pays the price.
Since resolution often depends on work happening somewhere else (claims, billing, fulfillment, all kinds of downstream environments), even when the interaction itself goes well, the overall experience can still fail if the operational work behind it is slow, opaque or disconnected.
The most common breakdowns stem from internal teams working from different systems, with different metrics and different definitions of completion (or success). The ensuing fragmentation shows up as repeat demands from customers with unsatisfied issues, queue inflation and unnecessary manual work. CSAT scores may degrade, as could measures of loyalty.
In theory, it shouldn’t be that hard to outline the necessary prerequisites to linking the front and back offices. Both groups need visibility into the customer’s issue, status and history across teams. Data and orchestration tools need to be synchronized at the system level, not just at the channel level. And people need broader focuses: back-office specialists need to understand the interaction-level experiences connected to their work, while front-office agents have to see the complexity of the specialized work happening behind them. In theory, easy to outline; much harder to actually make it happen.
Much of the discussion around solving this problem focuses on automation, which can make a significant difference in reducing friction between customer-facing and back-office
That suggests use cases related to incident triage, routing, case creation and determining the next best action. In these low-hanging scenarios, the value derived from automation comes from compressing latency in processes by removing manual coordination. The assumption is that human judgement remains essential in exception handling, emotionally sensitive situations and ambiguous cases.
Enterprises that I’ve seen tackle the FO/BO gap successfully often start with a specific journey problem that’s creating friction, not with a technology-first approach or by trying to solve the entire issue at one go. Rather than try to redesign everything at once, it makes more sense to prove value in one or two targeted use cases first. Experienced practitioners have told me that they pay close attention to the handoffs between teams because that’s often where the real failure points become apparent.
As businesses develop more complex mechanisms for tying support interactions to back-end experience orchestration, the role of the contact center has to evolve as well. It’s still the focal point for interactions and responses, but it has to become an integrated part of a broader service operation, with fewer technical silos and less emphasis on basic channel management. Automation does help this transition because it helps an enterprise mask some of the problems that occur during handoffs and creates a layer of connection between front and back offices (and their systems). The best starting use cases for this kind of integration efforts are typically high-volume, repeatable and cross-functional, like claims or billing inquiries noted above.
And it makes sense to start by identifying specific problems in the customer journey that create friction and work backwards from there. Starting with a technology tool and looking for its use cases is going to be less helpful. From a practical point of view, it’s probably not a good idea to redesign every tool and process at once; instead, prove value in one or two targeted use cases first. Be realistic that this is as much an operating-model shift as a systems project, which means having to bring along people with different agendas, KPIs, budgets, and expectations. Remember that you don’t have to boil the ocean on the first go. Any first step is a good one.
Regards,
Keith Dawson