Enterprises often talk about "knowing the customer."
They invest in CRMs, contact center platforms, analytics platforms, and automation – each designed to improve visibility, drive productivity, and deliver better experiences.
Yet in practice, many organizations still struggle with a fundamental problem: they can't reliably see the customer journey end to end.
The customer is there. The interactions are happening. But the journey is fragmented across channels, systems, and teams – and too often, key context disappears right when it's needed most.
Gaurav Anand, Global Head of Customer Interaction Suite at Tata Communications, argues that the visibility challenge isn't a channel problem. It's an enterprise systems problem.
"It's not the channels that break, it's the systems that break," he says. And when systems aren't connected, the most valuable asset in CX – context – becomes fragile.
When AI Understands – But the Enterprise Can't Execute
Many brands are deploying AI at the front end: voice AI, chat AI, agent assist, and other capabilities designed to improve responsiveness.
But Anand says a common failure mode is that the AI layer is not connected to the execution layer.
"AI may understand the request perfectly," he explains. "But the backend execution layer is disconnected."
That disconnect creates a cascading problem. An interaction begins and goes well – but then fails at the point where it needs to reach across systems to deliver a final outcome.
"The conversation gets handed off to a human agent who often lacks the full context – and that transfer is not happening."
This is where the "customer journey black hole" takes hold – the point where intent and history vanish as an interaction moves between systems or teams. What should be a seamless continuation becomes a fresh start, with the customer repeating themselves and the agent working without the information they need.
Visibility, then, is not simply knowing what was said. It's ensuring that what was said can drive action – and that action can be tracked across systems consistently.
Where TX Hub Fits
For enterprises trying to solve this, architecture matters.
In Anand's view, visibility and continuity require an orchestration layer that sits above core contact center infrastructure – able to connect AI, agents, and enterprise systems into a coherent workflow.
"TX Hub essentially sits on top of the contact center ACD," Anand explains. "It really acts as an orchestrator between the AI agent and potentially the human agent."
TX Hub "offers the ability to orchestrate between workflows" and "has the connectors to all of the different CRMs that are out there" – coordinating what happens across the systems already in place, rather than replacing them.
It connects to knowledge bases and enables context to flow through "whatever the brains of the organization is" – surfacing guidance for agents, suggesting next-best actions, and ensuring that when escalation is required, the handoff preserves everything that came before.
"When the call gets transferred to the human agent, allow for that context, that intent, all of it to be transferred," Anand says.
