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ARKANSAS MUNICIPAL LEAGUE SELECTS ORIGAMI RISK CORE SUITE TO DRIVE EFFICIENCY IN WORKERS’ COMP, AUTO AND PROPERTY INSURANCE

By Origami Risk

Shared Risk Pool Leveraging Origami’s Multi-Tenant SAAS P/C Insurance Suite To Streamline Policy Administration, Billing, Claims Management NORTH LITTLE ROCK, Arkansas, August 23, 2022 – The Arkansas Municipal League (AML) has selected Origami Risk’s multi-tenant SAAS P/C platform for policy administration, billing and claims management for its workers’ compensation, commercial auto and property insurance programs. Origami’s platform offers AML … Continued

ORIGAMI RISK AND CLARA ANALYTICS TEAM TO OFFER AI-DRIVEN CASUALTY CLAIMS SOLUTIONS ON ORIGAMI’S DIGITAL PLATFORM

By Origami Risk

Ready Access to AI-Driven Capabilities Can Help Insurers, MGAs, Self-Insurers Drive Efficiencies, Improve Outcomes in Casualty Claims. CHICAGO, IL and SANTA CLARA, CA, August 16, 2022 – Origami Risk, the industry-leading risk, safety, and insurance software as a service (SaaS) technology firm, and CLARA Analytics(“CLARA”), the leading provider of artificial intelligence (AI) technology for commercial insurance … Continued

KENTUCKY EMPLOYERS’ MUTUAL INSURANCE SELECTS ORIGAMI RISK CORE PLATFORM TO DRIVE EFFICIENCY IN WORKERS’ COMP

By Origami Risk

LEXINGTON, Kentucky, July 20, 2022 – Kentucky Employers’ Mutual Insurance (KEMI), the largest provider of workers’ compensation insurance in Kentucky, has selected Origami Risk’s multi-tenant platform for underwriting, billing, and claims administration. Specifically, Origami’s platform offers KEMI a variety of tools and functionality for policy administration, claims management, billing, advanced analytics, as well as the … Continued

Low Code/No Code: Is This the Next Big Thing in Tech?

By Origami Risk

Software development is thought of as a long, tedious, and costly process for insurers and MGAs. In conventional software development, programmers write long lines of code using computer coding language that is not easy to understand to create functions and features desired in a computer program. The process requires programmers to have in-depth knowledge of … Continued