AI-Enabled Business Intelligence Platforms for SaaS solutions: Securing Contracting Intelligence in the Life Sciences Industry

Abstract

The increasing complexity of regulatory compliance, contract negotiation, and data security in the life sciences industry has created an urgent need for intelligent and scalable contracting solutions. This study investigates the integration of AI-enabled business intelligence (BI) platforms within Software-as-a-Service (SaaS) environments to enhance contracting intelligence in the life sciences sector. Utilizing a mixed-methods approach, the research evaluates 30 organizations, 15 using AI-BI SaaS platforms and 15 relying on traditional contract lifecycle management (CLM) systems across performance, security, and compliance metrics. Results indicate that AI-enabled platforms significantly outperform traditional systems in contract approval time, clause-risk detection accuracy, renewal precision, and regulatory adherence. AI models demonstrated high reliability with F1-scores exceeding 0.90 and anomaly detection AUC values above 0.95. Security assessments reveal that AI-BI platforms implement more advanced measures, such as 256-bit encryption and federated learning, contributing to both enhanced protection and faster processing times. Statistical analyses, including ANOVA and correlation testing, confirm the significance of these improvements. The findings underscore the transformative potential of secure, AI-driven SaaS solutions in creating intelligent, compliant, and efficient contract ecosystems within the life sciences industry, offering valuable insights for digital transformation strategies in regulated domains.