Revolutionizing Rail Claims Management with Drupal and AI - A Case Study

Learn how a rail industry's Delay Repay claims management system was revolutionized through Drupal and AI implementation in this 47-minute conference talk. Explore the journey of reducing claims processing time from 30 minutes to just 5 minutes while managing over 8 million annual delay compensation claims in the UK. Discover how native Drupal capabilities were leveraged to build a comprehensive system handling webforms, train movement databases, repayments, fraud detection, and reporting. Gain insights into the challenges and solutions of implementing AI automation, achieving 70-90% automation rates with human-level accuracy. Understand the process of prompt engineering, evaluation methods using historical data, and how to effectively communicate AI safety to stakeholders. Examine the specific Drupal modules and tools used in building this innovative system, with practical applications for automating processes across various industries. While only a general interest in AI is required, familiarity with business applications and claims management systems will enhance the learning experience. Master the fundamentals of using Drupal for claims management, implementing LLM-driven workflows, and utilizing evaluations to build and validate AI systems for management approval.