MULTIMODAL AI
BY ANKIT TALWAR, DELL
ILLUSTRATION PROVIDED BY ADOBE STOCK
BREATHING NEW LIFE INTO FCR
HOW MULTIMODAL AI REVIVES IT.
For decades, contact centers have lived with a frustrating paradox: despite better training, routing, and knowledge systems, first contact resolution( FCR) has barely improved. In many organizations, it has even declined.
Customers describe their issues in detail, agents follow every troubleshooting step, and yet something is still missing. Customers call back, escalations rise, and support costs quietly grow.
The reason is simple. Most AI and support tools only understand one dimension of the customer’ s problem, while real-world issues are multidimensional.
30 CONTACT CENTER PIPELINE
To illustrate, a customer may:
• Describe an error, but the real clue is hidden in a screenshot.
• Read out a code, but the root cause becomes obvious only when the agent sees a device’ s blinking pattern.
• Insist a feature is not working, but the screenshot reveals a configuration mismatch.
Voice alone is no longer enough. Text alone is no longer enough. To solve modern problems on the first attempt, contact centers need AI that can understand what customers say, what they show, and what they experience.
This is where multimodal AI becomes the missing critical pathway in modern FCR, supplying it with fresh oxygen. It gives agents the same visual and contextual cues customers rely on when they experience issues.