From Bottleneck to Bottlenectar: How AI and Process Mining Unlock Hidden Efficiencies
Artificial Intelligence (AI) has transitioned from a promising concept to a critical driver of business scalability, particularly within complex industries like insurance. Large Language Models (LLMs) now automate knowledge-intensive processes, transforming workflows previously constrained by manual capacity. However, effective AI-driven automation involves more than technical deployment—it demands nuanced strategic adjustments, comprehensive understanding of workflow dynamics, and meticulous validation. In this detailed case study, Cognaptus Insights examines how If P&C Insurance, a leading insurer operating across the Nordic and Baltic regions, leveraged AI-driven Business Process Automation. The study employs Object-Centric Process Mining (OCPM) as an analytical lens, providing a robust framework for evaluating impacts, uncovering subtle workflow interactions, and formulating evidence-based best practices.1 ...