Government health programs often struggle with efficient tracking, data management, and payment systems for healthcare workers (referred to as "Chip Agents") who operate in remote or underserved areas. Traditional methods like paper forms and manual spreadsheets are prone to errors, delayed updates, and data loss, leading to poor decision-making, inefficiencies in fund disbursement, and reduced service quality. Additionally, health workers often face delays in receiving their incentives or payments, affecting their motivation and retention.