Beating Tool Fatigue: How Empathic AI Boosts Agent Morale and Performance

Modern contact centers are drowning in dashboards. Here’s how empathic AI helps agents stay focused, motivated, and deliver stronger CX 

4
Sponsored Post
Contact Center & Omnichannel​Insights

Published: November 6, 2025

Rhys Fisher

Stop me if you’ve heard this one before: the latest CX tech phenomenon is struggling to live up to the hype.   

Of course, in the year 2025, when we’re discussing the latest tech phenomenon, we can only really be referring to AI.   

And, like the long list of tech advancements that have come before it, AI isn’t delivering as advertised.   

Indeed, for many contact centers, the reality has been a tangle of tools, dashboards, and alerts that leave agents feeling more burdened than empowered.  

However, despite these shortcomings, much of the customer service and experience sector appears to be doubling down on AI.  

This leaves an opening for companies that are brave and creative enough with their AI strategies to differentiate themselves in a crowded marketplace.   

One such company is Graia, which focuses not on replacing agents but on helping them do their best work.  

“When you’re redesigning the customer experience, it’s about how humans and technology coexist,” says Sahil Rekhi, CRO of Graia 

“Our vision has always been to give agents ownership of the customer relationship, while providing the right technology to help them solve problems faster and more effectively.” 

It’s a philosophy that may strike a chord with many contact center leaders today.  

With agent turnover at record highs and tool fatigue spreading, organizations are beginning to realize that true efficiency comes not from automating people out of the process, but from augmenting human capability.  

The Problem with Current AI Tools  

The contact center industry has no shortage of AI solutions.  

From call transcription to performance analytics, the technology stack has grown dense. Yet many leaders are finding that more technology doesn’t always mean better outcomes.  

Rekhi notes that this “AI overload” often creates more friction than it removes.  

“Companies need to take a holistic view of what they’re trying to achieve. Too often, AI is rolled out as a quick fix – something the board wants to see in action – without a broader change management wrapper around it,” he explains.  

“That’s how you end up with tool fatigue and disengaged agents.”  

Instead, Rekhi argues for a phased, empathetic approach, stating that “AI isn’t a binary switch; it’s a journey over 12, 24, or 36 months. And that journey has to include people.”  

The Graia man believes that this people-first mindset must start with communication. He emphasizes the need for leaders to be transparent about why AI is being adopted and how it benefits employees.  

“There’s a lot of fear out there, agents wondering, ‘Is AI coming for my job?’ The reality is, it’s there to make their roles more valuable.” 

Agent Empowerment Through Empathic AI  

Graia’s platform is built on what Rekhi calls “empathic AI,” tools that simplify the agent’s job rather than complicate it.  

“The first thing we ensure is that the agent owns the interaction,” he says. “Technology should empower them to deliver faster resolutions, with the right context, tone, and empathy.”  

That context awareness is a cornerstone of Graia’s design. Through real-time voice and chat analysis, the platform tracks over 50 different emotional states, offering live guidance to agents on how best to engage.  

If compliance risks arise, it can flag them instantly. If sentiment dips, it nudges the agent toward a more constructive tone.  

“It’s like having a co-pilot that understands both the customer and the conversation,” Rekhi explains.  

“Agents come out of those interactions with a genuine sense of achievement, feeling like they delivered on what they were hired to do.”  

In multilingual environments, that support becomes even more powerful.  

Indeed, Rekhi details an example of Graia’s BPO customers, where agents serve ten or more markets.  

By deploying the vendor’s real-time voice and chat translation, which covers more than 100 languages, agents can deliver seamless service without actually speaking all those languages.  

“That’s where the idea came from: they’re not superhuman, just using Graia,” Rekhi says, referring to one of the company’s tag lines.   

Transforming Retention, Training, and Performance  

Another side effect of the influx of AI tools for agents has been a greater emphasis being placed upon the agent experience, which has emerged as a top driver of customer satisfaction.  

Rekhi believes that AI can actually play a pivotal role in helping to improve the agent experience, particularly when it comes to retention and training.  

“Happier agents mean happier customers, better revenue, and less churn. That’s proven in this industry,” he says.  

By using AI to automatically surface relevant knowledge, suggest next steps, and summarize calls, Graia helps reduce onboarding time and training overhead, as Rekhi explains:  

“No agent needs to be a subject matter expert anymore.” 

“They just need to know how to use the platform. AI takes care of the rest – tone, brand guidance, compliance prompts – all in real time.”  

For new hires, that means faster confidence and fewer early dropouts. For managers, it means consistent service quality without micromanagement.  

Rekhi adds: “It saves them precious time they can use to focus on high-value engagements, which ultimately drives better results for the business.”  

Beyond onboarding, Graia’s analytics feeds continuous improvement. By analyzing past interactions, both human and automated, the system identifies where agents typically need help, then refines training materials accordingly.  

Rekhi gives the example of a major automotive client using Graia to analyze dealership and roadside assistance calls, automatically generating training content and knowledge articles based on real customer interactions.  

Human Potential, AI-Assisted  

As AI becomes a fixture of the modern contact center, Rekhi believes the winning formula lies in alignment, transparency, and consolidation.  

“Try to bring everything behind a single agent desktop,” he advises. “That one-time pain of integration is worth it. The ongoing pain of swivel-chair setups and attrition isn’t.”  

For Rekhi, the goal isn’t to create superhuman agents; it’s to make ordinary agents feel capable, confident, and supported:  

“It’s about supercharging the employee, not replacing them. Companies that take that view will see AI adoption that truly sticks.”   

 

You can learn more about Graia’s approach to empathic AI by reading this article  

You can also discover the company’s full suite of services and solutions by visiting the website today. 

 

Agent AssistAI AgentsArtificial IntelligenceConversational AISentiment Analysis

Brands mentioned in this article.

Featured

Share This Post