Review cycles took months, leaving 60% of risks invisible. AURA now monitors every change in real time—analysts approve before action.
The Dominican Republic's largest private-sector bank, with an operation spanning thousands of processes, controls, and risk obligations across a fully regulated environment.
Operational risk reviews were conducted in periodic cycles that could take months, leaving only approximately 40% of the bank's risk universe covered...
“There are more and more risks, more controls, and more processes. Without the use of artificial intelligence and automation tools, it would be impossible to maintain effective monitoring and management of the risks we face.”
Commercial and retail bank serving the Dominican Republic.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Banco Popular Dominicano's Risk monitoring is part of this use case:
Related implementations across industries and use cases
Customers called or visited a branch; agents waded through menus to log each case. Now a WhatsApp bot handles the intake—no calls, no menus.
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Organizing tens of thousands of compliance documents bottlenecked audits. Now, AI structures files and drafts summaries for expert review.
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.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Review cycles took months, leaving 60% of risks invisible. AURA now monitors every change in real time—analysts approve before action.
The Dominican Republic's largest private-sector bank, with an operation spanning thousands of processes, controls, and risk obligations across a fully regulated environment.
Operational risk reviews were conducted in periodic cycles that could take months, leaving only approximately 40% of the bank's risk universe covered...
“There are more and more risks, more controls, and more processes. Without the use of artificial intelligence and automation tools, it would be impossible to maintain effective monitoring and management of the risks we face.”
Commercial and retail bank serving the Dominican Republic.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Banco Popular Dominicano's Risk monitoring is part of this use case:
Related implementations across industries and use cases
Customers called or visited a branch; agents waded through menus to log each case. Now a WhatsApp bot handles the intake—no calls, no menus.
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Organizing tens of thousands of compliance documents bottlenecked audits. Now, AI structures files and drafts summaries for expert review.
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.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.