{"slug":"fiserv-saves-12-000-hours-a-year-automating-merchant-category-code-validation-with-uipath-genai","url":"https://findausecase.com/use-cases/fiserv-saves-12-000-hours-a-year-automating-merchant-category-code-validation-with-uipath-genai","title":"Fiserv saves 12,000 hours a year automating merchant category code validation with UiPath GenAI","description":"Fiserv used UiPath Robots combined with UiPath GenAI Activities to automate its merchant category code (MCC) validation process: robots extract merchant details from the database, cross-check them via a Bing API, and select correct MCC codes using generative AI prompts, with UiPath Autopilot troubleshooting the automation workflows. The deployment saves 12,000 hours per year, achieves a 98% end-to-end process automation rate for the new MCC use case, and has also reduced customer service representative call handling time.","company":"Fiserv","industry":"Financial Services","aiCapabilities":["Generative AI","Agentic AI"],"businessFunctions":["Finance & Accounting","Customer Service & Support"],"technology":["UiPath Robots","UiPath GenAI Activities","UiPath Autopilot","UiPath Action Center","Bing API"],"deployment":"Unknown","problemStatement":"Fiserv wanted to scale automation enterprise-wide with AI and first needed to build trust and demonstrate true business value with a flagship use case, starting with its merchant category codes (MCC) validation process; separately, customer service representative calls could take 10-15 minutes, largely due to transferring data between systems while customers waited on the phone.","solutionApproach":"UiPath Robots extract merchant details from the database, cross check them via a Bing API, and select the correct MCC codes using generative AI prompts from UiPath GenAI Activities; validation rules handle 98% of cases, with outliers sent to UiPath Action Center for review, while UiPath Autopilot troubleshoots MCC automation workflows by identifying errors and optimizing performance.","businessValue":"The deployment saves 12,000 hours through MCC automation per year, achieves a 98% end-to-end process automation rate for the new MCC use case, and has significantly reduced average call handling time for customer service representatives.","evidence":{"band":"high"},"sourceUrl":"https://www.uipath.com/resources/automation-case-studies/fiserv-drives-enterprise-wide-agentic-ai-adoption","dates":{"publishedAt":"2026-10-09T05:45:26.536Z","publishedAtSource":"pipeline","updatedAt":"2026-10-09T05:45:26.536Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/fiserv-saves-12-000-hours-a-year-automating-merchant-category-code-validation-with-uipath-genai. Bulk republication requires permission."}