In today’s customer experience landscape, automation is everywhere.
From chatbots to voice assistants, AI is increasingly handling interactions that were once the domain of human agents.
The promise is clear: faster response times, 24/7 availability, and reduced operational costs. Yet many enterprises are discovering that efficiency alone doesn’t equate to effective service.
Customers still crave understanding, context, and emotional intelligence – qualities many automated systems struggle to deliver. When AI fails to grasp nuance or respond empathetically, frustration quickly builds, and loyalty suffers.
“More often than not, people come in, implement this technology, and forget about it. When they do this, they’re losing the human touch and the human element of how agents have traditionally interacted with customers,” says Sahil Rekhi, CRO of Graia.
This challenge – often referred to as the empathy gap – spans industries and geographies.
Legacy AI deployments, rigid workflows, and rule-based bots can leave both customers and agents dissatisfied.
For enterprises with complex operations and high-value clients, the stakes are especially high: missed opportunities, frustrated customers, and eroded trust can all have a direct business impact.
As CX leaders look ahead, a new question is emerging: how can AI scale efficiency without sacrificing the human touch?
Empathic AI is emerging as a potential answer, bridging the gap between automation and meaningful human connection.
Against this backdrop, Graia has entered the market with a clear mission: to build AI that doesn’t just act fast, but acts thoughtfully, supporting agents and enhancing customer interactions without losing sight of the human element.
From Cost Optimization to Emotional Intelligence
When generative AI burst into the mainstream in late 2022, many organizations raced to automate as quickly as possible.
The initial pitch was simple: reduce support costs, speed up resolution times, and lighten the load on human agents.
“Ever since ChatGPT came onto the market, AI-driven automation and cost optimization have become buzzwords,” Rekhi reflects.
“Everybody wants to use GenAI technology to create content, drive summarization, automate customer queries… and that’s probably the area for the biggest spend we see.”
But what seemed like a silver bullet soon exposed its limits. Countless deployments relied on static workflows and brittle logic, producing interactions that were efficient but emotionally flat.
Rekhi explains how too many businesses underestimated the importance of the human touch.
“You’re missing the meaningful CSAT outputs, the NPS uplift, the loyalty. That’s where empathy needs to come into everything we do with this technology,” he said.
While this may have been overlooked initially, there have been plenty of cautionary tales since the 2022 GenAI boom.
Klarna, one of the highest-profile adopters of automation, dramatically reduced its contact center headcount – only to reverse course when customer experience began to suffer, as Rekhi explained:
“They decided to get rid of 3,000 agents and then thought, actually, no, people still appreciate the value of talking to people.
“At the end of the day, people buy from people.”
While Klarna may be one of the more renowned examples of AI backtracking, it is far from the only company.
Many CX leaders are moving beyond binary cost-saving models toward empathic AI strategies that can scale without losing the human layer.