Fragmented Data Slows Down Agentic AI Orchestration in Customer Experience

Many companies have deployed artificial intelligence for various customer experience (CX) use cases. However, securing real gains from these deployments may prove elusive without properly tagged data to support the technology.

The Impact of Disjointed Data on Customer Experience

According to a Talkdesk CX survey released on Tuesday, one in four customer interactions are negatively affected by repeated explanations, manual escalations, incomplete context, and resolution delays. These issues hinder the efficiency of customer service operations and prevent AI systems from working at their full potential.

Key Culprits Behind AI Performance Issues

The survey highlights that disjointed knowledge management systems are a primary obstacle. These fragmented systems contain incomplete data, which directly restricts the effectiveness of AI orchestration and prevents seamless automated resolutions.

What This Means for AV Integrators

AV integrators designing unified communications and contact center solutions must recognize that hardware and software deployments alone cannot guarantee successful CX outcomes. When implementing AI-driven communication platforms, integrators should advise clients on the critical necessity of properly organized and tagged data structures to ensure the underlying AI orchestration functions as intended.