NTT DATA launches AI insurance platform for carriers
Wed, 5th Aug 2026 (Today)
NTT DATA has launched NTT DATA AI for Insurance, aimed at insurers managing core operational workflows.
The software is designed to turn underwriting, claims, customer service and related insurance processes into governed, repeatable AI-delivered services. It combines configurable AI agents, insurance-focused data models, workflow orchestration and oversight measures intended to support auditability and human review.
The launch reflects a broader push by technology suppliers to move insurers beyond limited AI pilots and into more structured use of automated systems in day-to-day operations. Carriers have been exploring AI across risk assessment, claims handling and customer interactions, but many remain constrained by regulatory requirements, legacy systems and concerns about accountability.
Built on NTT DATA's AIVista platform, the new offering is designed for regulated insurance environments. Insurers can configure the system around their own products, processes and operating models, and integrate it with existing carrier systems rather than replace core platforms.
Governance is a central part of the pitch. The product includes controls intended to apply regulatory guardrails to AI agent decisions and maintain human oversight, an issue that has grown more pressing as insurers examine how far automated systems can be trusted with decisions affecting pricing, claims outcomes and customer treatment.
The software is also designed to avoid dependence on a single foundation model. Model-routing functions allow insurers to work across different AI models, which may appeal to carriers seeking greater flexibility over cost, performance and risk management.
Insurance pressure
The insurance sector is under pressure to process more work with the same or fewer staff while maintaining compliance and consistency. Underwriters are being asked to assess risk faster, claims teams are handling rising volumes of data, and customer service operations are under scrutiny as policyholders expect quicker responses.
NTT DATA linked the launch to those operating pressures, saying insurers want to increase underwriting capacity, speed up claims and service workflows, reduce loss ratios and improve risk selection while meeting growing expectations from boards and regulators over the governance of AI systems.
The company cited findings from its 2026 Global AI Report on insurance, which found that two-thirds of insurers want to use AI in front-office interactions and 86% support its use in back- and mid-office workflows. At the same time, most insurers have yet to industrialise agentic AI across their core operations, according to NTT DATA.
That gap has become a focal point for suppliers trying to package AI into products tied to specific business processes rather than generic chatbot-style tools. In insurance, that means linking AI systems more closely to policy data, claims records, submissions and compliance rules.
NTT DATA said its architecture includes models and agents trained on carrier and insurance data, a knowledge base for interpreting policies and claims information, and orchestration tools to manage interactions between AI agents, staff, systems and processes.
The system also includes prebuilt and configurable AI agents intended to shorten deployment times in underwriting, claims and service functions. NTT DATA said these tools can be deployed three times faster, though it did not provide further detail on the basis for that figure.
Market position
NTT DATA said it works with 10 of the world's 25 largest insurers, operates 16 delivery centres with insurance expertise and employs more than 12,000 insurance specialists worldwide. It also cited external research reports that ranked it among market leaders in agentic services and insurance generative AI services.
Bruno Abril outlined the company's case for using AI in insurance processes.
"Insurance is built on human judgment that understands risk, prices fairly and stands behind promises when it matters most," said Bruno Abril, Global Lead, Insurance Industry, NTT DATA. "AI strengthens the ability of insurers to meet that responsibility, and NTT DATA AI for Insurance supports human expertise with intelligent systems that work within a governed operating layer for enterprise-scale transformation. The result is that insurers can move from AI-enabled workflows to AI-delivered operations, at enterprise scale and with the governance that regulators and boards demand."
Customer interest in using AI for claims work is already taking shape in the market. NTT DATA included comment from one insurance technology executive on the practical case for wider adoption.
"The insurance industry is generating more data than ever before, but better outcomes depend on how effectively that information is translated into action," said Prashant Hinge, Chief Information Officer at MSIG USA. "AI can help insurers identify high-risk claims sooner, improve consistency throughout the claims process, and equip claims professionals with the insights they need to make faster, more informed decisions."