Inquiries sat for days as volume outpaced staff. Gemini now classifies intent, automating 80% of tickets and cutting wait times to minutes.
A Brazilian fintech specializing in debt recovery supports over 70 million consumers through a fully digital platform that enables users to negotiate debts in under five minutes.
Accelerated growth caused support ticket volumes to exceed human capacity, creating response delays of several days. The manual workforce could not...
“Diariamente, esses dados são direcionados ao BigQuery - que, além de já ser parte de uma estrutura de data lake e data warehouse, serve como um consolidador da saída dos resultados da aplicação, facilitando a análise dos metadados e a observação de problemas recorrentes.”
Digital platform for debt negotiation and financial recovery services.
Defined the AI architecture and implemented Gemini-based ticket automation for Acerto.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Acerto's Customer support is part of this use case:
Related implementations across industries and use cases
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Engineers manually scripted prompts for every language. Now, AI translates reasoning and grounds answers to stop hallucinations.
A team of 200 reps couldn't keep pace with 350K monthly WhatsApp inquiries. Now, AI agents instantly resolve routine loan updates.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
A team of 200 reps couldn't keep pace with 350K monthly WhatsApp inquiries. Now, AI agents instantly resolve routine loan updates.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Fund launches needed 3-4 weeks of manual research each. Teams linked internal data, and strategic questions once skipped got asked.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Inquiries sat for days as volume outpaced staff. Gemini now classifies intent, automating 80% of tickets and cutting wait times to minutes.
A Brazilian fintech specializing in debt recovery supports over 70 million consumers through a fully digital platform that enables users to negotiate debts in under five minutes.
Accelerated growth caused support ticket volumes to exceed human capacity, creating response delays of several days. The manual workforce could not...
“Diariamente, esses dados são direcionados ao BigQuery - que, além de já ser parte de uma estrutura de data lake e data warehouse, serve como um consolidador da saída dos resultados da aplicação, facilitando a análise dos metadados e a observação de problemas recorrentes.”
Digital platform for debt negotiation and financial recovery services.
Defined the AI architecture and implemented Gemini-based ticket automation for Acerto.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Acerto's Customer support is part of this use case:
Related implementations across industries and use cases
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
Engineers manually scripted prompts for every language. Now, AI translates reasoning and grounds answers to stop hallucinations.
A team of 200 reps couldn't keep pace with 350K monthly WhatsApp inquiries. Now, AI agents instantly resolve routine loan updates.
Turnover bottlenecked 30k monthly inquiries. GenAI now resolves 64% of emails and 100% of chats, lifting CSAT 8 points.
A team of 200 reps couldn't keep pace with 350K monthly WhatsApp inquiries. Now, AI agents instantly resolve routine loan updates.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Fund launches needed 3-4 weeks of manual research each. Teams linked internal data, and strategic questions once skipped got asked.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.