What happened
Enterprises are rolling out AI agents, voice AI, and automation across messaging, voice, and digital channels faster than their underlying architecture can support, according to Tata Communications.
Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications, says most organizations have attached conversational AI to legacy systems never designed for it, leaving human agents to piece together context across disjointed tools.
Anand argues the real problem is not data access but the absence of a shared enterprise context that connects customer identities, interactions, transactions, policies, journeys, and operational systems into a common understanding.
Why it matters
Traditional CX architecture was built for linear, human-driven routing, not for coordinating real-time data flows among autonomous AI systems, data lakes, and human workers. That mismatch creates friction that customers ultimately feel.
The strategic priority is shifting from automation to orchestration: automation solves individual tasks, while orchestration connects them into end-to-end outcomes. In this view, competitive advantage now comes from how intelligently systems hand off work, collaborate, and escalate.
Simply placing a voice AI agent in front of an existing system can recreate the rigid phone menus AI was meant to replace. The broader industry is consolidating, with established contact center providers acquiring AI-native firms to close capability gaps.
Key facts
Gaurav Anand is global head of the Customer Interaction Suite at Tata Communications.
Anand says most enterprises have bolted conversational AI onto legacy systems.
Tata Communications' solution is the Interaction Fabric, an orchestration layer that unifies contact center, messaging, collaboration, AI, and customer data while coordinating AI agents, channels, and enterprise systems in real time.
Anand says the next evolution is context-aware orchestration, where AI agents, applications, and human workers operate from a shared understanding of customers, processes, and business intent.
What to watch next
Whether enterprises move beyond isolated AI deployments to build a common enterprise ontology that aligns customer data, products, policies, SOPs, transactions, and workflows across disconnected platforms.
How the wave of consolidation among contact center providers and AI-native firms reshapes the customer experience market and whether orchestration layers like the Interaction Fabric gain traction.