Traffic Authority in Brazil Reduces Legal Processing Time and Costs Using Alteryx

Detran-BA, the traffic authority in the state of Bahia, Brazil, faced a growing backlog of administrative appeals related to traffic violations. The appeals process required individual analysis to triage and properly adjudicate each case with fairness and efficiency.

The increasing volume of appeals and manual triage process caused delays, which resulted in missed opportunities to impose financial penalties — negatively impacting revenue collection and effective administrative sanctions.

Automating the appeals decision-making process with AI

To improve efficiency and reduce risk in the traffic violation appeals process, Detran-BA utilized Alteryx to develop a solution leveraging AI. Using Machine Learning (ML) models and Natural Language Processing (NLP), Alteryx analyzes previously adjudicated cases to identify patterns and suggest opinions for similar cases.

The automated opinion process using AI significantly reduces the time required to analyze and adjudicate appeals for the most common appeals cases and mitigates the risk of preclusion and the associated revenue loss from missed penalties. The accelerated speed of processing appeals also improves customer service for the traffic authority by delivering faster resolution for appellants.

Optimizing legal work and reliability in decision-making

The use of Alteryx to automate routine appeals decisions allows analysts at the traffic authority to focus their time on more complex cases that require thorough analysis.

Alteryx also helps generate consistent and fair legal opinions that are aligned with prevailing jurisprudence. With continuous improvement of the AI models using historical judgement data and machine learning, the reliability of decision making improves based on consolidated case law. Data-driven decision-making also prevents further revenue loss due to procedural deadlines being missed.