Three key areas of AI deployment
In this context, there are three areas where AI can help organizations to cross operational constraints by filling cultural gaps and focusing on amplifying human qualities. The following three simple cases show how AI can do it:
- Expand empathy in customer interaction
- Dissolves knowledge silos within tissues
- Supports service delivery across linguistic and cultural boundaries
The patterns that emerge from these examples are clear. AI is most powerful when amplifying human connections, not when replacing humans.
1]Scaling empathy by bridging interpersonal divisions
Many organizations are building service models to optimize cost-efficiency and maximize throughput. Hitting these targets often means using strategies that make consumers scare. Replace offshoring contact centers, or humans with fully automated systems. Over time, this kind of approach shapes both organizational culture and customer expectations, and empathy feels like luxury rather than standard. The consequences of these changes in attitudes are very realistic. According to a 2024 survey by TCN, nearly two-thirds of Americans (63%) said they are more likely to abandon their brand after one poor service experience. At the same time, consumer expectations for empathy and responsiveness are rising. In most stories about the “rise of the machine,” AI is the villain of this kind of situation and is responsible for accelerating the movement away from empathy and connection. But the truth is that when AI is thoughtfully implemented, it can help bridge this gap by supporting a warmer, more personalized customer experience.
Below are two live examples of how AI can boost, rather than diluting feelings of empathy and connection.
- AI-powered contact center platforms like Genesys provide agents with on-screen tips about customer tone, journey stages, and emotional context when calls are deployed, suggesting phrasing of responses. On the surface, this is a technical solution to increase efficiency and global staffing flexibility. But its deep value lies in its ability to help humans coordinate responses to provide personalized customer engagement, thus expanding the emotional intelligence built into customer interactions.
- AI is unexpectedly effective at scaling empathy, even in high-stakes settings like healthcare. The transition to a “digital front door” for healthcare encounters in the US presents a major challenge for physicians. Tens of thousands of patient messages arrive daily via your electronic health record inbox. Many require responses that are not only containing medically accurate information, but also emotionally nuanced. A recent study from NYU found that AI-generated responses to patient messages were rated as more empathetic than those written by physicians, and scored higher in warmth, tone, and relational language. Although not always clinically accurate, AI responses were more likely to convey positive tests and build connections. This suggests a powerful new role for generation tools. Instead of impersonal template responses or concise answers from overloaded healthcare providers, AI can provide personalized responses and ease the cognitive load of physicians while enhancing a culture of compassion.
