Agentic AI signals a structural step-change for insurers: from task-level automation and copilots to autonomous, multi-step systems that set goals, orchestrate workflows, and adapt in real time. Building on modern data platforms, ML, and gen AI, these systems blend cognitive and operational intelligence to execute end-to-end processes with minimal supervision – well suited to the complexity and control requirements in the insurance landscape. Adoption is focused on areas where outcomes are the easiest to measure – claims intake and triage, fraud detection, underwriting data gathering and risk assessment, renewal decisioning, and back-office policy administration – driving gains in speed, accuracy, and efficiency. Carriers are pairing these efforts with governance-first implementation: explainability, decision lineage, model monitoring, and calibrated human-in-the-loop oversight aligned to process risk. This report provides a practical blueprint for where to start and how to scale. It includes a use-case prioritization matrix (impact vs. ease) to sequence investments and a value-contribution model to design the implementation based on the human/AI role split. The report also highlights risk-mitigation playbook and implementations guidelines to help organizations balance autonomy with accountability and deliver durable, compliant value.

Group life insurers are increasingly looking to modernize their core platforms to address limitations of their legacy core systems and drive transformation to future-proof their IT estates. They are looking for cloud-ready platforms to enable extensive API integrations and support rapid product configurations with out-of-the-box functionalities. Technology providers are responding by developing deep expertise across various product types and demand themes. They are making significant investments to expand their talent pools, build configurable solutions to address key concerns around on-budget and on-time implementations, and help insurers to become digitally enabled. In this research, we assess 15 technology providers featured on the Group Life Policy Administration Systems (PAS) PEAK Matrix® focused on North America. Each provider profile provides a comprehensive picture of its strengths and limitations. The assessment is based on Everest Group’s annual RFI process for year 2022-23, interactions with leading group life PAS technology providers, client reference checks, and an ongoing analysis of the North American insurance technology market. Scope Industry: insurance Geography: North America The assessment covers the entire group life / voluntary benefits / worksite benefits insurance value-chain components (management of benefits, billing, underwriting and rating, membership management, employee and employer portals, reporting and workflow, claims, and provider administration). Technology providers that serve one or more areas were eligible for this research The assessment is based on Everest Group’s annual RFI process for year 2022-23, interactions with leading group life PAS technology providers, client reference checks, and an ongoing analysis of the North American insurance technology market Contents In this report, we: Provide an overview of the group life PAS market, including its size, growth, and drivers Assess 15 leading technology providers of Group Life Policy Administration Systems (PAS) focused on North America List the characteristics of Leaders, Major Contenders, and Aspirants Present Everest Group’s take on the strengths and limitations of each provider Membership(s) Insurance Information Technology Sourcing and Vendor Management