Pearson
Automated customer support
Refunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
- Anticipated 50% faster onboarding
- Anticipated 40% case deflection
With numbers to prove it.
Explore all industriesRefunds meant manual checks across systems. Now, AI agents verify eligibility and execute transactions instantly.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Students navigated scattered systems. Custom AI agents now query timetables and bus schedules, saving IT 350 hours during peaks.
Stock footage gaps meant one grade took three years to finish. Generative AI now produces eight full grade levels annually.
Rigid scripts failed to teach speaking. A multi-agent system now improvises dialogue and adapts lessons based on real-time fluency.
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Static videos left students stuck. AI now answers questions based on the exact video moment, raising exam scores from 5.0 to 6.9.
Generic voices and lag broke immersion. Cloned AI personas now power real-time roleplay, cutting voice costs by 40%.
Student data was scattered across systems. Teams now use AI to score enrollment intent, driving 23% conversion on targeted banners.
Teachers in unconnected schools taught blindly. Bluetooth clickers now feed an LLM to track gaps and personalize quizzes without internet.
Teachers spent 20 minutes grading one test. A vector engine now scores handwritten answers instantly, referencing 1 billion+ items.
Forecasts relied on manual spreadsheets. Now, AI scores engagement and summarizes calls to identify legitimate deals in real time.
Staff lost 570 hours/year moving data between systems. AI agents now parse handbooks to answer student inquiries 24/7.
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