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Multilingual AI Chatbot for TSLS.

24/7 government scholarship support — in multiple languages, at scale.

Industry
Education · Government
Region
Oceania
Services
AI Engineering
Technology
NLP · Multilingual · Government Platform Integration
01/ the brief

Overwhelmed staff. Inconsistent answers. No support outside business hours.

TSLS administers scholarships and loans for tertiary students across Fiji — a high-volume, high-stakes service where response time and accuracy directly affect student outcomes. Growing inquiry volumes were overwhelming support staff, particularly during peak application periods, and students needed assistance in multiple languages at any hour.

  • Large volumes of repetitive inquiries overwhelmed support teams — slowing response times
  • Manual responses varied between agents, creating inconsistent service levels
  • Students needed support outside business hours and in multiple languages
  • Existing channels couldn't scale to meet demand during application peaks
TSLS multilingual AI chatbot case study
02/ the solution

An AI chatbot that handles the volume, speaks the language, and never clocks off.

Crystal Delta designed and deployed an AI-powered chatbot integrated into TSLS's existing digital ecosystem — capable of answering scholarship, loan, eligibility, and deadline inquiries instantly, accurately, and in multiple languages.

What's under the hood
  • NLP-powered chatbot with context-aware, human-like conversation across all scholarship and loan inquiry types
  • Automated handling of routine and high-frequency queries — removing pressure from support staff
  • Multilingual support delivered in multiple languages to serve TSLS's diverse student population
  • Integrated into TSLS's existing digital ecosystem for smooth data flow and continuity
  • 24/7 availability — including outside business hours and during peak application periods
03/

The Impact

AI-Driven Support Availability
24/7

Instant AI-driven support — always available, including outside business hours.

Reduced workload
Routine query automation removed pressure from support staff at peak periods.
Higher satisfaction
Users reported improved experience from immediate, accurate, multilingual responses.
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