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
We track and decode how AI leaders get results, so you can pursue the right projects with confidence.
Recent case studies from
Letting students build AI bots risked generating harmful content. Now, real-time safety models filter all outputs for 330k+ learners.
Manual spot-checks missed duplicates. AI now audits 100% of spend, catching $20k in errors and reclaiming 160 hours for analysis.
Manually personalizing lessons overwhelmed 20,000 educators. Now, teachers use AI to quickly adapt materials for diverse learning needs.
Students relied on scattered, ungoverned AI tools. Now, instructors configure secure AI agents tied to validated course materials.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Researchers skimmed dense academic texts to evaluate relevance. Now, generative AI streams on-demand bulleted insights in under 5 seconds.