Maia, an agentic data team, revolutionizes data pipeline management by enabling agility, intelligence, and significant business impact without the need to rebuild workflows from scratch. Instead of starting over when new business requirements emerge, Maia intelligently adapts existing data transformation pipelines to predict shipment delays by efficiently orchestrating available datasets, such as historical shipment data, customer locations, and weather forecasts. By automating data logic and transformations, Maia reduces engineering overhead, allowing data teams to quickly adapt to new demands and deliver proactive insights, thereby transforming static workflows into adaptive systems that evolve with business needs. This approach enables businesses to turn raw operational data into predictive assets, offering a competitive advantage through smarter, self-evolving data infrastructure.