Aprende transforms program enrollment for Hispanic students
Aprende Institute is a leading online education platform serving the Hispanic community in the U.S. and Latin America. With vocational programs ranging from beauty and wellness to trades and gastronomy, Aprende helps thousands of students each year build skills that lead to entrepreneurship or new careers.
“Regal’s AI Agent completely transformed how we connect Hispanic students to educational programs. Previously, a large portion of our advisors’ time went to calls that went nowhere — voicemails, dead air, or low-intent leads. Now, the AI filters those out automatically, so human advisors can focus on students who are genuinely ready to engage, and it shows. Our advisors are saving more than 100,000 minutes monthly and calls lasting over 5 minutes have increased by 18X. We’re not just saving time; we’re scaling smarter and helping more students start their programs without friction.”
Regal equipped Aprende with a scalable AI infrastructure that handled qualification seamlessly, filtering out low-value calls and keeping advisors focused on the students most likely to enroll.
As enrollment demand accelerated, Aprende’s contact center faced increasing operational complexity. Manual dialing and qualification processes could not scale at the same pace as lead growth, creating inefficiencies across outreach and conversion workflows:
High call waste: More than half of outbound calls reached voicemail or dead air, consuming over 100,000 minutes of agent time each month without productive outcomes.
Revenue leakage from low qualification efficiency: Advisors spent valuable time engaging with unqualified or low-intent prospects, resulting in missed opportunities to convert higher-quality leads and capture additional revenue.
Scaling constraints: Supporting new marketing initiatives or rising lead volume required continuous hiring and training of agents — a costly and time-consuming process that limited agility.
Aprende needed a scalable, intelligent system to eliminate unproductive dials, automate lead qualification, and enable advisors to focus their time and expertise on the students most ready to enroll.
Aprende evaluated more than ten AI platforms before choosing Regal. “We were getting referrals from our VCs and friends,” recalls Lee Hasson, CTO at Aprende Institute. “There are so many options now that it actually makes the decision harder. We never seriously considered building this ourselves — connecting to an LLM is easy, but the dialing piece can’t be underestimated. Once you introduce a human in the loop, you have to manage the telephony stack, transfer logic, and latency. That’s where Regal’s background in contact center dialing and expertise in supporting human teams really stood out.” Regal’s ability to orchestrate real-time transfers between AI and live advisors in Five9, while keeping Salesforce data perfectly in sync, gave Aprende confidence that every call would connect quickly and reliably at scale.
That technical expertise was reinforced by Regal’s Forward Deployed Engineer (FDE) model, which gave Aprende hands-on support from day one. “Working with a Forward Deployed Engineer was a gamechanger,” Lee explains. “We had someone guiding us through every stage — from building to testing to orchestration — and advocating for what we needed.” The collaboration helped the team scale quickly across schools, refine Spanish conversation flows, and optimize performance for a natural, responsive student experience.
Lee says Regal’s partnership model also made a lasting difference. “A lot of platforms look similar at first,” he notes. “Many are still early stage, where you have no control and they have to do everything for you. With Regal, we not only had an FDE supporting the implementation but also access to the platform itself, which gave us visibility into how everything worked and the ability to make our own adjustments.” By combining hands-on engineering guidance with true self-serve flexibility, Regal enabled Aprende to expand its AI enrollment programs efficiently across multiple schools and lines of business.
Regal’s AI Agent transformed Aprende’s enrollment operations by automating high-volume, repetitive calls while amplifying the impact of human advisors. The result was a faster, more scalable enrollment process that improved productivity without increasing headcount.
Smarter lead qualification
The AI Agent handled the early stages of every conversation — verifying student identity, confirming program interest, and ensuring prospects were ready to engage. Human advisors joined only once intent was confirmed, allowing them to focus on higher-value conversations that required expertise and persuasion.
Eliminating wasted dials
By detecting voicemail and dead air in real time, Regal prevented hundreds of thousands of minutes from being lost each month. Agents could dedicate their time exclusively to live students, dramatically improving efficiency and morale across the team.
Empowering human advisors
With the AI Agent managing outreach and qualification, advisors could spend their time where it mattered most — guiding students through financing and enrollment decisions. The result was more productive calls and a more streamlined experience for students.
Scalability without added headcount
Within just two weeks of launch, Regal’s AI Agent was already handling twice the weekly lead volume of human agents — with unlimited capacity to expand further. This rapid scalability demonstrated how AI-driven automation could deliver new levels of efficiency and responsiveness. Even with conversion rates holding steady, revenue per lead rose by 6%, with automation and human expertise scaling together to drive measurable revenue growth.
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For Aprende, implementing AI was never about instant perfection — it was about building a reliable foundation. Lee, CTO at Aprende Institute, says patience was key. “You have to be realistic about what success looks like early on,” he explains. “For us, the most important thing was getting the mechanics right. I didn’t even care if the AI was ‘better’ yet — it just needed to dial, connect, and transfer cleanly. Once that worked reliably, we could start improving everything around it.”
That focus created momentum. With a dependable system in place, the team could integrate data, analyze outcomes, and refine conversation flows with confidence. Each iteration built on the last. “The conversation quality improves over time,” Lee notes. “What matters is that the system works end-to-end and keeps getting smarter with every iteration.”
Ultimately, Aprende leaned into using AI to strengthen, not sideline, their human team. “Our advisors are pumped when they get a call that comes from Regal,” says Lee. “When they get a transfer, they know it’s a real student who wants to talk, not a dead end. That makes the work more motivating.” With AI handling outreach, Aprende could invest more deeply in its existing advisors, developing expertise, consistency, and a stronger, more experienced team instead of constantly retraining new hires.
After proving the impact of Regal’s AI Agent across its initial consumer programs, Aprende plans to expand into other verticals like digital marketing, home repair, and real estate. The focus remains on deepening automation across scheduling, end-to-end enrollment, inbound support, and servicing — creating faster, more seamless student journeys while continuing to drive measurable gains in efficiency and conversion.
Looking ahead, Aprende sees major potential in extending these capabilities into its B2B business. “We’re involved in every part of the cycle — from recruiting to continuous training and deployment,” says Lee. “Right now, AI is deeply embedded in the training experience, but there’s a massive opportunity to apply it across the rest of the flow.” He adds that the same technology and approach that have elevated the consumer experience — from efficient outreach to high-intent lead qualification — will enable the team to better support partners focused on workforce training, education benefits, and professional development across healthcare, education, and hospitality. This next phase represents a natural evolution of how AI can connect learning to opportunity at scale.
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