Enterprises bolt AI onto legacy systems, leaving human agents to piece together fragmented customer context.

Enterprises are deploying AI agents and voice AI faster than their underlying architecture can support, according to Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications. Most organizations have bolted conversational AI onto legacy systems that were never designed for it, leaving few platforms that are truly integrated or capable of seamless orchestration.

Traditional CX architecture supported linear, human-driven routing, not real-time data flows among AI systems, data lakes, and human workers. The lack of a shared enterprise context for customer identities, interactions, transactions, policies, journeys, and operational systems creates heavy cognitive load for human agents. Gaurav Anand heads Tata Communications’ Customer Interaction Suite.

For builders and operators, the shift means automation alone no longer creates competitive advantage. The real gains come from context-aware orchestration, where AI agents, applications, and human workers operate from a shared understanding of customers, processes, and business intent. Without such a layer, enterprises risk recreating the deterministic phone menus that AI aimed to replace.

According to Anand, the strategic priority is shifting from automation to orchestration. Automation solves individual tasks, while orchestration connects them into end-to-end outcomes. The next step is context-aware orchestration, and the advantage goes to teams that coordinate AI agents, applications, and human workers. Expect more contact center providers to acquire AI-native firms.

What matters

• Enterprises bolt conversational AI onto legacy systems, creating fragmented customer platforms.
• Without a shared context layer, builders and operators cannot coordinate AI agents, apps, and people.
• Watch for contact center providers acquiring AI-native firms to close CX capability gaps.

Why it matters

Watch for contact center providers acquiring AI-native firms to close CX capability gaps.

This GenAI News article was prepared in original wording using reporting and materials published by VentureBeat AI. Source reference: https://venturebeat.com/orchestration/orchestration-is-the-new-challenge-for-cx-in-the-age-of-ai-agents.

Drafted by the GenAI News review pipeline.