Enterprises are adopting AI agents faster than their systems can handle.
Most bolt AI onto legacy tools.
This creates fragmented customer context and heavy agent workload.
What happened
Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the supporting architecture, says Gaurav Anand of Tata Communications.
Why it matters
Most deployments bolt conversational AI onto legacy systems, leaving few platforms that are truly integrated, scaled, and capable of seamless orchestration.
What to watch
The gap creates heavy cognitive load for human agents who must piece together context across disjointed tools to understand what an AI has told a customer.
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The challenge isn't just data access, but the absence of shared enterprise context connecting customer identities, interactions, transactions, and policies. This fragmentation undermines the potential of AI agents, which depend on coherent context to deliver seamless experiences. The article suggests that orchestration—the ability to coordinate AI and human interactions across channels—is emerging as the new critical capability for customer experience.
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