OWIT Global expands AI in insurance data management

By AI, Created 5:20 PM UTC, May 18, 2026, /AGP/ – OWIT Global says it has added AI capabilities to its Insurance Data Management platform to speed onboarding, transformation and transaction processing for bordereaux and other insurance data. The update targets carriers, reinsurers, brokers and service providers looking to cut manual work and improve data integrity across insurance workflows.

Why it matters: - OWIT Global is trying to reduce the manual work behind bordereaux processing and other insurance data tasks. - The company says AI can lower operating costs and improve productivity by automating repetitive work and supporting better decision-making. - The platform is aimed at carriers, reinsurers, brokers, MGAs, MGUs and TPAs that manage distributed insurance data.

What happened: - OWIT Global said on May 12, 2026, that it has added AI capabilities to its Insurance Data Management (IDM) solution. - The platform is designed for bordereaux management, data migration and data integrity needs. - OWIT said the IDM solution processes millions of insurance-specific transactions, including policy, claims and cash transactions. - The system is built to reconcile and apply those transactions across the insurance lifecycle.

The details: - OWIT said its AI is being used to accelerate onboarding and exporting of distributed data. - Wendy Aarons-Corman, OWIT Global chief executive officer, said the company is taking a deliberate approach to adding AI while keeping the solution rich in insurance-specific knowledge. - Julian James, chief revenue officer and president of EMEA/AsiaPac, said the company has delivered multiple AI-driven use cases and that clients are already realizing immediate value. - OWIT said its no-code platform lets business analysts configure and manage data streams without heavy technical development. - The company said the IDM solution can deliver cost savings versus the traditional model, where each market participant addresses bordereaux processing and related data challenges separately. - OWIT said the platform also helps with data acquisitions and SOVs. - The IDM solution is available as a shared SaaS model, a dedicated SaaS model or a customer-hosted option. - OWIT said the solution can be deployed standalone or integrated with a customer’s and partners’ systems. - The company’s Insurance Workbench includes distributed data tools for program and reinsurance arrangements, including file-based bordereaux and direct source-to-target data interchange. - OWIT’s underwriting workbench supports legacy system extension through business-to-business and consumer portals, user and point-of-sale portals, rating and document-lite generation.

Between the lines: - OWIT is positioning AI as an enhancement to an existing insurance-specific data platform, not as a standalone generative AI product. - The emphasis on reusable microservices and a no-code configuration layer suggests the company is selling faster implementation and easier scaling, not just automation. - The focus on bordereaux points to a persistent industry pain point where inconsistent data formats and manual reconciliation still create cost and delay.

What’s next: - OWIT is directing prospects to its website for more information about the IDM platform and the broader Insurance Workbench suite. - The company is likely to keep expanding AI-driven use cases as it works to deepen adoption across insurance transaction processing workflows. - OWIT will continue offering the IDM solution through shared SaaS, dedicated SaaS and customer-hosted deployment models.

The bottom line: - OWIT Global is using AI to make insurance data onboarding, reconciliation and bordereaux processing faster and more efficient, with the pitch centered on lower costs and better data integrity.