The insurance sector, despite having large amounts of data and skilled personnel in analytical decision-making, has struggled to scale artificial intelligence projects beyond the pilot phases. Only 7% of companies have managed to effectively implement these initiatives at the corporate level.

Automating Insurance Workflows with Agentic AI

Intelligent agents offer a solution to overcome bottlenecks due to obsolete infrastructures and fragmented data architectures. Unlike passive analytical systems, these agents support autonomous tasks and assist the decision-making process under human supervision. Integrating these agents into workflows allows companies to overcome existing constraints and talent shortages.

A primary application is workforce augmentation. Sedgwick, in collaboration with Microsoft, implemented the Sidekick Agent to assist claims professionals, improving process efficiency by over 30% through real-time guidance. One insurer implemented over 80 models in the claims sector, reducing complex case assessment times by 23 days and improving routing accuracy by 30%. Customer complaints decreased by 65% during the same period.

Overcoming Internal Resistance

The adoption of these technologies requires overcoming internal resistance. Isolated teams and unclear priorities often slow down implementation. The shortage of specialized figures, such as actuaries and underwriters, limits the effectiveness with which companies use their data. Agentic AI can be used to support the most difficult roles to fill.

Success depends on aligning technology with specific business goals. Creating an "AI Center of Excellence" provides the governance and technical expertise needed to avoid fragmented adoption. It is advisable to start with high-volume, repetitive tasks to improve models through feedback loops. About 70% of scalability challenges are organizational rather than technical. Insurance companies must develop a culture of accountability to obtain a return on investment in these technologies.

Agentic AI is a necessity for insurance companies seeking to survive in a market characterized by financial pressures and inherited complexities. Addressing structural challenges improves efficiency and resilience. Executives who invest in scalable frameworks will position themselves to lead the next era of innovation.