{"slug":"bol-beh-rden-online-systemhaus-builds-fino-an-agentic-ai-assistant-on-amazon-bedrock-for-city-dog-tax-registration","url":"https://findausecase.com/use-cases/bol-beh-rden-online-systemhaus-builds-fino-an-agentic-ai-assistant-on-amazon-bedrock-for-city-dog-tax-registration","title":"bol Behörden Online Systemhaus builds FINO, an agentic AI assistant on Amazon Bedrock for city dog tax registration","description":"German public-sector software provider bol built FINO on Amazon Bedrock and Bedrock AgentCore to help citizens submit government forms online, with knowledge-base answers, translation and dog-breed image recognition. Workloads run in the AWS Frankfurt Region for data sovereignty. Source reports more than 90 percent breed identification accuracy and a 5-second average response time in the pilot.","company":"bol Behörden Online Systemhaus","industry":"Government & Public Sector","country":"Germany","aiCapabilities":["Agentic AI","Generative AI","Computer Vision"],"technology":["Amazon Bedrock","Amazon Bedrock AgentCore"],"deployment":"Public Cloud","problemStatement":"Local municipalities aim to improve public services while addressing budgetary restraints and talent shortages. bol saw an opportunity to reduce the administrative burden of processing and submitting government forms online, while complying with data sovereignty regulations when integrating large language models.","solutionApproach":"bol built FINO, an AI assistant that helps citizens submit government forms online, using Amazon Bedrock and Amazon Bedrock AgentCore. FINO answers questions by retrieving data from the city's knowledge base, guides citizens through follow-up steps, and uses AI image recognition on a dog's photo to identify the breed and add it to the registration form. Workloads run in the AWS Frankfurt Region.","businessValue":"In the pilot with a city administration, FINO identifies breeds with more than 90 percent accuracy and an average response time of 5 seconds. bol says that by validating that a form is complete, FINO reduces the need for human intervention and follow-ups, saving time and minimizing errors.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/bol-behorden-online-systemhaus-case-study/","dates":{"publishedAt":"2026-11-01T05:46:38.447Z","publishedAtSource":"pipeline","updatedAt":"2026-11-01T05:46:38.447Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/bol-beh-rden-online-systemhaus-builds-fino-an-agentic-ai-assistant-on-amazon-bedrock-for-city-dog-tax-registration. Bulk republication requires permission."}