Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
A media group with 30 million monthly logged-in users spanning streaming, sports, news, and entertainment properties across Globoplay, Premiere, g1, ge, and gshow.
Customer data was scattered across separate products with no unified identity, making personalized service across properties impossible. On WhatsApp,...
“A efetividade do modelo depende menos da automação isolada e mais da capacidade de compreender o consumidor, resolver sua demanda e usar esse conhecimento para tornar a relação mais relevante.”
Also reported by
Media conglomerate producing news, entertainment, and sports content for Brazil.
Provided Data 360 platform to Globo for organizing user data, which fuels their AI agents and personalized customer interactions.
Globo's WhatsApp customer service is part of this use case:
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Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
A media group with 30 million monthly logged-in users spanning streaming, sports, news, and entertainment properties across Globoplay, Premiere, g1, ge, and gshow.
Customer data was scattered across separate products with no unified identity, making personalized service across properties impossible. On WhatsApp,...
“A efetividade do modelo depende menos da automação isolada e mais da capacidade de compreender o consumidor, resolver sua demanda e usar esse conhecimento para tornar a relação mais relevante.”
Also reported by
Media conglomerate producing news, entertainment, and sports content for Brazil.
Provided Data 360 platform to Globo for organizing user data, which fuels their AI agents and personalized customer interactions.
Globo's WhatsApp customer service is part of this use case:
Related implementations across industries and use cases
A team of 200 reps couldn't keep pace with 350K monthly WhatsApp inquiries. Now, AI agents instantly resolve routine loan updates.
37M product listings, and shoppers navigated alone. Now Lu guides the whole journey—search to checkout—inside WhatsApp.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Thousands of emails, every application reviewed by hand. Now agents verify IDs, translate, and draft; a five-person team makes every call.
Rigid menus misrouted queries and overloaded advisors. Now, AI handles routine tasks and routes complex issues to humans with full context.
Flying blind across AI pipelines—no view of cost or accuracy. Observability cut compute costs 87.5% and root cause from 30 hours to minutes.
After-hours calls hit voicemail; password resets and order checks buried agents. Sara handles both 24/7 across 50+ brands.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.