700 hours a year on manual JSON deployments across 18 assistants. Automation cut each to minutes.
One of Brazil's largest financial platforms, serving more than 45 million customers across banking, payments, credit, and investments, with a virtual assistant spanning more than 180 products connected to more than 100 APIs.
After building one of the world's largest watson Assistant environments across 18 assistants, the bank needed to migrate to modern AI orchestration...
Digital banking and investment platform with an integrated e-commerce super app.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Inter's Virtual assistant management 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.
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
700 hours a year on manual JSON deployments across 18 assistants. Automation cut each to minutes.
One of Brazil's largest financial platforms, serving more than 45 million customers across banking, payments, credit, and investments, with a virtual assistant spanning more than 180 products connected to more than 100 APIs.
After building one of the world's largest watson Assistant environments across 18 assistants, the bank needed to migrate to modern AI orchestration...
Digital banking and investment platform with an integrated e-commerce super app.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Inter's Virtual assistant management 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.
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Privacy rules bottlenecked AI scaling. A secure internal platform now cuts AML investigation time by days and security resolution by 50%.
Regulatory docs the size of phone books slowed model cycles to months. An AI agent now codes features and writes documentation in hours.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.