Unlike general-purpose AI platforms, the Insurance AI Hub is built specifically for the insurance sector. It is trained on insurance workflows and developed to meet strict regulatory standards.
The hub features AI agents that support multiple domains, including life and annuity, property and casualty, group benefits, and specialty lines. Its goal is to help insurers move beyond the proof-of-concept phase and achieve scalable, enterprise-level AI adoption.
Sutherland has positioned the hub as a comprehensive ecosystem, with models and infrastructure tailored to the unique demands of insurance operations. Early implementations have already shown promising outcomes. AI solutions for claims and enrolment have significantly reduced processing times and leakage while improving claimant satisfaction. Voice AI capabilities have enhanced customer engagement and increased net promoter scores.
Other tools within the ecosystem, such as Connected Underwriting and Cognilink Document Intelligence, have demonstrated measurable gains in operational efficiency and cost reduction.
The Insurance AI Hub’s modular architecture allows insurers to adopt and scale AI at their own pace. It also provides robust controls to manage bias and maintain compliance with key regulatory frameworks, including SOC 2, HIPAA, and NAIC standards.
Banwari Agarwal, CEO of Sutherland Insurance, Banking and Financial Services, said the platform was designed with deep industry knowledge from the outset. “The Insurance AI Hub was built with insurance DNA from day one,” he explained. “It delivers scalable agentic automation that understands the industry’s complexities, integrates into fragmented IT environments, and provides measurable results—not just demonstrations.”
Earlier this year, Sutherland partnered with FINEOS, an Irish insurtech company, to streamline absence and leave management for U.S. employee benefit carriers using an AI-powered solution.
