Gartner AI Use-Case Assessment for Insurance Industry

NEW REPORT

Gartner AI Use-Case Assessment for P&C and Life Insurance Industry

AI in insurance is moving fast. Is your operating model ready?

Access your complimentary licensed copy of the 2025 Gartner AI Use-Case Assessment for P&C and Life Insurance Industry to explore how AI use cases are being evaluated across business value, feasibility, technical readiness, internal adoption, and external environment.

Gartner - AI Use Case Assessement in PnC and Life Insurance 2

Insurance AI is under pressure to prove measurable value

Insurance CIOs and operations teams are expected to use AI to improve underwriting speed, claims efficiency, risk assessment, customer service, and distribution support..

But many insurers are still working with fragmented systems, unstructured data, manual document-heavy workflows, disconnected claims and policy operations, and governance models that were not designed for AI-enabled execution.

The 2025 Gartner AI Use-Case Assessment for P&C and Life Insurance Industry offers a useful view of where AI value is most likely to materialize, which use cases are more difficult to operationalize, and what insurance executives should consider when prioritizing AI investments.

What you’ll learn from the report

Use the Gartner AI Use-Case Assessment to better understand:

How AI use cases in insurance are being prioritized

Including how Gartner evaluates prominent AI use cases based on business value and feasibility.

Where AI is being applied in the insurance value chain

From submission and intake processing, underwriting risk assessment, and claims predictive analytics to AI-assisted sales and legacy modernization.

Why feasibility matters as much as ambition

Including the role of technical readiness, internal adoption, regulatory considerations, data quality, and operational maturity.

How to evaluate vendor claims more critically

Especially around autonomous underwriting, autonomous claims, virtual assistants, governance, explainability, integration effort, and what is realistically deployable today.

Why operating readiness should be part of every AI roadmap

Modern insurance AI evaluation needs to account for workflow orchestration, human oversight, auditability, data connectivity, governance, and scalability together.

How AI connects to broader insurance modernization

Including how AI use cases can support legacy modernization, data connectivity, product operations, and incremental transformation without becoming another set of disconnected point solutions.