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CASE STUDY

Sei AI X Edtech Lender (Asia)

Products in use:
Sei helped us drive more collections, without increasing labor costs. We have quickly expanded into more usecases on onboarding and sales, after seeing the initial lift

Asia-based large Edtech Lender Achieves Massive Scale with a "Voice-First" Automation Strategy.

Sei helps a large Asia-based edtech lender improve their collections, onboarding times and sales conversion.

Overview

This large edtech lender is at the forefront of simplifying finance for education. To manage its high volume of customer interactions effectively and at scale, they partnered with us to deploy a suite of sophisticated AI voice agents. The goal was to automate key communication workflows, improve operational efficiency, and enhance the customer experience.

Challenge: Scaling Outbounds Required More Resources

As the company experienced explosive growth, its reliance on human-powered call center teams became a significant operational bottleneck

  • Unsustainable Human Capital Costs: The constant cycle of hiring, training, and retaining human agents was expensive and time-consuming
  • The 9-to-5 Constraint: The company’s human agents worked standard office hours, but their customers - busy parents and school administrators - were often only available in the evenings or on weekends.
  • An Impending Scaling Crisis: To keep pace with business demand, projections showed they would need to double its call center team size in a matter of weeks.
  • Operational Rigidity: Each new calling campaign, whether for sales or collections, required a significant ramp-up time for training and deployment.

The Journey: From Collections to Full-Cycle Automation

Our engagement began with a single, high-impact use case (Collections). Building on this success, our partnership quickly expanded to cover the entire customer lifecycle:

  • Collections: The initial AI agent was deployed to manage payment collections for delinquent accounts. The agent's ability to handle these sensitive conversations empathetically and efficiently led to a XX% increase in recovery rates within the first quarter.
  • Payment Reminders: A new agent was launched to proactively remind customers of upcoming payments, significantly reducing the number of accounts becoming delinquent in the first place.
  • Onboarding Verification: To streamline their customer intake process, a third agent was created to handle onboarding verification calls, confirming customer details accurately and instantly. This reduced customer onboarding time by 32%.
  • Sales: By ensuring immediate and persistent follow-up with every lead, the sales AI agent boosted conversion rates by 27% and shortened the sales cycle.

Each of these AI Voice Agents was conceptualised and launched in less than a week. On average - these agents have reduced the company’s per call cost by 70%.

A Strategic Shift to Voice-First Automation

Our collaboration fundamentally shifted the company’s approach to customer communication. Recognizing the superior engagement and immediacy of voice, the company has adopted a "call-first" strategy. Workflows that were previously handled by email or text messages are now initiated by an AI voice agent, with other channels serving as a secondary follow-up.

Today, our platform handles over 3,000 calls per day for them, making Sei AI an integral part of the company’s operational fabric.

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