The article dismantles a widespread misconception in CX leadership: that offering multiple channels constitutes omnichannel customer service. What most organisations call "omnichannel" is actually multichannel—customers can reach support through chat, voice, email, and messaging, but each channel operates on separate logic, separate data, and separate teams. The distinction matters because this fragmentation costs businesses up to $136.8 billion annually in avoidable churn whilst forcing agents to hunt across disconnected systems and customers to repeat themselves at every handoff. The real problem isn't channel coverage; it's architectural. True omnichannel requires a unified customer profile that updates in real time, identity resolution that recognises the same person across devices and channels, and—critically—an orchestration layer that acts as the decision-making brain, determining whether interactions stay in self-service, escalate to agents, route to specialists, or trigger workflows outside the contact centre. Without this orchestration layer, channels may be technically connected but the journey still feels fragmented.
The implications for CX teams are substantial. Most organisations are evaluating omnichannel platforms by counting features and channels rather than testing whether context actually survives the handoff. The article provides a practical pressure test: start a conversation in one channel, switch to another, and observe whether the next agent has the full picture or whether the customer must restart. This reveals a critical gap in how many teams approach platform selection—they're buying tools instead of fixing orchestration, which means adding complexity to an already broken architecture. For teams already running Zendesk, Freshdesk, or similar systems, this raises an uncomfortable question: does your current stack preserve context in real time, or are you patching together batch-updated data and manual handoffs? The measurement framework shifts accordingly. Rather than tracking channel volume or first-contact resolution in isolation, teams should measure repeat contact rates, transfer rates, drop-off during channel switches, and customer effort scores—metrics that expose whether the journey is truly continuous or merely appearing unified on the surface.
The governance and explainability layer adds another dimension often overlooked in platform evaluations. As AI and automation increasingly drive routing and escalation decisions, CX leaders need clear visibility into why a customer was routed somewhere, which rules suppressed a message, and whether identity and consent travelled across the interaction. This becomes especially critical in richer messaging environments where branded channels can appear trustworthy whilst the underlying verification logic is weak. The article's core argument is that omnichannel maturity isn't proven by launching another bot or adding a fifth channel—it's proven when customers stop repeating themselves, when agents stop digging through tabs, and when the business can demonstrate that routing decisions use shared context instead of guesswork. For teams considering orchestration platforms or evaluating whether their current stack is truly unified, the test is straightforward: watch what happens at the handoff. That's where the story either holds together or falls apart.
Virtually every company says it has an omnichannel contact center today, but what they really mean is that customers have “options” for how to get in touch. Most of the time, they’re still starting in chat, moving to voice, and jumping into email, repeating themselves at every stage. Fragmented jour