Cloverleaf launches insurance analytics platform with automated data processing
Cloverleaf Analytics released its 2026 Insurance Decision Intelligence Platform on April 21, designed to speed up data processing across insurance operations. The platform automates data pipelines from source ingestion through Snowflake, cutting analytics workflows that previously took days down to minutes.
The company added two significant clients to its customer base. Oklahoma Farm Bureau Insurance signed on as a new customer, while Pearl Holding Group went live on the platform for claims operations tied to Guidewire InsuranceNow.
What the platform does
The system includes features that reduce manual data work. Intelligent field matching, a visual rule builder, and automated script generation cut data mapping tasks from hours to minutes while lowering the risk of human error.
Additional capabilities include AI-generated transformation suggestions, a visual interface for connecting multiple data sources, and automated script generation that reduces engineering workload.
How insurers plan to use it
Pearl Holding Group is using the platform as part of a broader shift away from legacy systems. The deployment will handle claims and policy operations while freeing staff to focus on strategic work rather than manual data processing.
Mike Mobley, VP of Operations at Pearl Holding Group, said the platform's streamlined claims operations and improved data integrity will let his team focus on "strategic initiatives and better customer interactions rather than antiquated technology and business operations."
Michael Schwabrow, EVP of Sales and Marketing at Cloverleaf Analytics, said the 2026 edition moves beyond basic analytics to deliver "real-time, actionable intelligence that transforms decision-making" and reduces operational burden.
For professionals working in AI for Insurance or Data Analysis, the platform represents one approach to automating analytics workflows that have traditionally required significant manual effort.
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