AI That Actually Works: Lessons from Two Contact Centers Winning with Tech

While many contact centers are still figuring out how to use their AI tools, a handful of businesses are already seeing real, repeatable wins

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Published: September 3, 2025

Rhys Fisher

In theory, the contact center technology stack has never been richer.  

In practice, many leaders are realizing it’s also never been heavier.  

Every new app promises sharper insights or faster workflows, but too often the result is more dashboards and more headaches.  

Agents hop between tabs, managers drown in metrics, and yet somehow, nobody has the full picture.  

The fallout is familiar: rep inefficiency, lead drop-off, and coaching gaps that no amount of raw data seems to fix.  

As Muayad Al Kayyali, Sales Manager at Voiso, put it:  

“Businesses should prioritize surfacing data that drives action and leave out the vanity metrics that don’t impact decisions.” 

For decision-makers, outcomes, not just capabilities, are what move the needle.  

Why ‘Smarter, Not Shinier’ Tech Makes a Difference  

The AI hype cycle shows no sign of slowing, but not every vendor is chasing the same headline features.  

Some are quietly winning by doing something far less flashy: making the right tools fit.  

Instead of forcing a complete overhaul, they build capabilities that plug into what’s already there, simplify decision-making, and start delivering gains without the marathon rollout.  

Voiso, an AI-powered contact center platform, is built in this vein.   

The company prioritizes intelligent call routing and live performance insights, real-time metrics that, in Al Kayyali’s words, are designed to “eliminate waste.”  

“In the contact center, speed and clarity aren’t just nice-to-haves; they’re revenue drivers and experience differentiators.” 

This is more than words and theory from Al Kayyali; Realtree Properties and RideNow are real-life examples – and the numbers speak for themselves.  

Case Study 1 – Realtree Properties: Scaling Without Hiring  

Realtree had a problem most sales teams would love to have: more leads than its reps could comfortably handle.  

The challenge was doing something about it without adding a single new hire.  

With Voiso’s AI dialer and stripped-back reporting, the team managed to achieve:  

  • 50% increase in call volume per rep  
  • 40% drop in idle time  
  • 35% reduction in lead response time  
  • +22% lift in qualified lead conversions – just in the first month  

“We expected gains, but seeing those numbers so quickly was impressive,” said Al Kayyali.  

Managers could finally see, in real time, who was talking, how fast they were responding, and how calls were ending – and coach accordingly.  

Regardless of size or standing, almost any contact center would be more than happy with Realtree’s numbers.  

Case Study 2 – RideNow: Cutting Call Times, Not Corners  

RideNow’s challenge wasn’t about volume; it was about speed.  

Appointment scheduling was chewing up call time and operational budget.  

By centralizing its channels through Voiso’s omnichannel interface and chatbot, the company achieved:  

  • 33% reduction in call duration  
  • 50% cost reduction for appointment scheduling  

 

For RideNow, automation was about connecting the right data with the right interactions, freeing the human team to focus on what mattered. 

In reflecting on the success of the implementation, Al Kayyali said:  

“What surprised me was how quickly a small team could scale support using just our chatbot and omnichannel interface.”  

There is an interesting lesson in Al Kayyali’s comments. Many organizations view AI implementations as daunting and often hold off on taking action.  

RideNow’s success shows that the right vendor can actually make the process a lot more seamless.  

Lessons from the Field: What These Results Say About CX Tech Today  

If you’ve ever sat through a six-month CX platform rollout, you’ll understand why some businesses are nervous about taking the AI plunge.  

However, both Realtree and RideNow hit their goals without overhauling processes or adding staff – proof that “fit” beats “scale” every time.  

“A platform that fits seamlessly into your workflow… is far more powerful than a bloated solution that promises everything but takes months to roll out,” Al Kayyali explains.  

This aligns with a broader trend: teams are tired of “transformational” platforms that transform nothing until Q4 next year.  

In contrast, Voiso customers are often live in days, sometimes hours.  

The Realtree AI dialer boosted call volumes by over 40% in the first week.  

RideNow’s chatbot began saving time almost immediately.  

That’s practical AI that actually delivers.   

Looking Ahead: AI That Frees Up Time, Not Just Fills It  

When asked where AI will make the most significant impact next, Al Kayyali didn’t hesitate:  

“The next frontier is empowering supervisors to act on insights in the moment – course-correcting calls, identifying trends, and shaping outcomes as they happen.”

That’s when AI stops being a background tool and starts becoming a true performance partner.  

The market’s full of buzzwords, but the real winners aren’t chasing the shiniest features, just the right ones.   

You can learn more about Voiso’s AI philosophy by reading this article.   

You can also visit Voiso’s website to view the company’s full suite of AI services and solutions. 

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