{"slug":"banco-popular-dominicano-multiplies-operational-risk-analysis-7x-with-aura-on-microsoft-power-platform","url":"https://findausecase.com/use-cases/banco-popular-dominicano-multiplies-operational-risk-analysis-7x-with-aura-on-microsoft-power-platform","title":"Banco Popular Dominicano Multiplies Operational Risk Analysis 7X with AURA on Microsoft Power Platform","description":"Banco Popular Dominicano built AURA, a multi-agent ecosystem on Microsoft Copilot Studio and Power Platform (Power Automate, Power BI, Teams, Excel, SQL, SharePoint) that automates real-time operational risk monitoring, replacing periodic manual sample-based reviews. The bank moved from roughly 40% to 100% operational risk coverage, multiplied analytical capacity sevenfold, cut manual operating load by 70%, reached 98% methodological accuracy, and now processes about 80,000 documents per week and 300+ cases per day.","company":"Banco Popular Dominicano","industry":"Financial Services","country":"Dominican Republic","aiCapabilities":["Agentic AI","Document Intelligence","Conversational AI"],"businessFunctions":["Risk & Fraud"],"technology":["Microsoft Copilot Studio","Microsoft Power Platform","Power Automate","Power BI","Microsoft Teams","Excel","SQL Server","SharePoint"],"deployment":"Unknown","problemStatement":"Banco Popular Dominicano's operational risk model relied on manual and partial reviews, with limited coverage and detection, making it difficult to scale the operation and slowing the response to critical changes; teams manually analyzed documents, validated controls, and detected issues in cycles that could take months, and the bank covered only about 40% of its risk universe.","solutionApproach":"Banco Popular created AURA, an orchestrated multi-agent ecosystem built on Microsoft Copilot Studio (for agent creation) and Microsoft Power Platform, including Power Automate for workflow orchestration and Power BI for monitoring, alongside Microsoft Teams, Excel, SQL, and SharePoint. Specialized documentary, risk-analysis, and conversational agents interpret events, execute analyses, and coordinate responses automatically whenever a change occurs, such as a procedure or document update, triggering impact analysis, control validation, and manager notification; risk analysts, without relying on IT teams, can design, iterate, and evolve the agents themselves, and every analysis result still requires human evaluation and decision.","businessValue":"Banco Popular Dominicano went from covering about 40% of its risk universe to 100% operational risk coverage, multiplied its analytical capacity sevenfold, cut manual operating load by 70%, freed up 40% of time for value analysis, reached 95%+ guideline-to-process alignment and 98% methodological accuracy, and now processes about 80,000 documents per week and more than 300 cases per day.","evidence":{"band":"high"},"sourceUrl":"https://www.microsoft.com/en/customers/story/26686-banco-popular-dominicano-microsoft-power-platform","dates":{"publishedAt":"2026-10-05T05:48:14.223Z","publishedAtSource":"pipeline","updatedAt":"2026-10-05T05:48:14.223Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/banco-popular-dominicano-multiplies-operational-risk-analysis-7x-with-aura-on-microsoft-power-platform. Bulk republication requires permission."}