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.
“So it’s not the start of a new conversation – it’s a continuation of it.”
A Single Orchestration Layer
A major barrier to improving visibility is the assumption that enterprises must standardize everything first. Many organizations operate multiple contact center platforms, multiple CRMs, and multiple systems of record – due to acquisitions, regional requirements, and legacy architecture.
Anand’s position is that orchestration should not require platform consolidation. The underlying contact center could be Tata Communications’ CCaaS or any other CCaaS.
“The ACD can be anybody because TX Hub sits over the top,” he says. “While we do have a powerful CCaaS platform as well, we don’t necessarily need to be owning or managing the enterprise CCaaS . With TX Hub, any ACD and still be connected, and we can still be the orchestrator on top.”
Enterprises can keep their existing systems while adding an orchestration layer that connects them, restores context, and supports journey continuity.
Governance Becomes Non-Negotiable
Orchestration is powerful – but it raises a critical question: what happens when AI triggers actions across enterprise systems?
Anand says governance is “top of mind for almost every enterprise,” and it becomes even more pressing as AI moves beyond generating information to making real changes – contract updates, credit adjustments, policy modifications.
“You need to be able to trace, and you need to have an audit trail – who did what, when,” he says. “And you need to have guardrails around what agents can and cannot do.”
Compliance is equally non-negotiable. “Compliance to certain rules and regulations and certain geographies is paramount,” Anand says.
In his view, having an ‘AI operating system’ isn’t just having a performance layer – it’s a governance layer, where organizations can define their own rules, choose their own models, and enforce policy at every step.
“This AI operating system is not one-size-fits-all – it’s bespoke,” he says. “Every organization can build it for their own set of rules, their own LLMs, their own SLMs.”
How Commotion Strengthens the Orchestration Story
Tata Communications acquired a 51 percent stake in Commotion in December 2025, bringing in what Anand describes as a fundamentally AI-native company.
“They’ve built one of the leading voice AI solutions,” he says. “From a latency and accuracy perspective, they’re top of the charts” – with support for 40+ languages and flexible deployment options including private instances and on-premise hosting.
Beyond voice AI, Commotion is helping build out the multi-agent framework itself – connecting structured CRM data, surfacing unstructured data from enterprise systems of record, and closing the feedback loop through post-call notes and interaction summaries.
“All of that capability feeds into the orchestration layer of all of these different agents,” Anand says – with the framework extending across the enterprise into HR, legal, and other workflows, not just customer-facing interactions.
Making the Invisible Customer Visible Again
The enterprise CX challenge isn’t that customers are interacting less. It’s that their interactions are distributed – and without orchestration, they become hard to see, hard to connect, and hard to complete.
For organizations struggling with fragmented records and inconsistent outcomes, an orchestration layer that restores context and coordinates AI across platforms may be the difference between having customer interactions – and having customer journeys that actually reach resolution.
To explore how your organization can create seamless, unified experiences, contact Tata Communications to learn more about their TX Hub and integrated CX platform capabilities.
