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
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Staff slowed by repetitive tasks feared AI replacement. With bottom-up training, they built custom agents, speeding work by up to 50%.
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.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.
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
Ungoverned AI was too risky for critical banking; a governed path now embeds Copilot and custom assistants into everyday work.
Staff slowed by repetitive tasks feared AI replacement. With bottom-up training, they built custom agents, speeding work by up to 50%.
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.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
Manual PII review across complex spreadsheets risked regulatory delays. Deloitte used AI extraction to boost review efficiency 50-60%.
Manual entry bottlenecked service contracts. Now, AI extracts handwritten text and validates against SAP, routing deviations to humans.