Data Analytics

Fragmented legacy systems block insurers from scaling agentic AI, creating operational fragility and risking distribution disintermediation.

Data fragmentation prevents most insurers from turning AI strategy into operational reality despite industry-wide ambition.

Fragmented producer data threatens to collapse AI ambitions unless the insurance industry addresses foundational infrastructure issues now.

Healthcare and insurance organizations face mounting data security risks as AI adoption outpaces their ability to govern sensitive information.

Insurers moving to the cloud face a governance challenge that needs to be addressed through a new, shared responsibility model. 

Insurers remain trapped in AI pilot purgatory by layering technology over fractured legacy systems instead of solving core enterprise design problems.

In 2026, fragmented systems and siloed workflows are no longer inefficiencies but competitive liabilities that constrain workforce adaptability.

As carriers accelerate AI adoption, spreadsheet usage is rising rather than declining, exposing critical gaps in governance infrastructure.