Webinar: AI in Insurance: From Experimentation to Execution

When:  Apr 30, 2026 from 03:00 PM to 04:00 PM (ET)

Most insurance carriers still manage distribution compliance through manual reviews and fragmented systems—making it difficult to monitor agent behavior, licensing, and market conduct risk in real time.

This session focuses on how AI is being applied in practice to improve oversight across distribution networks. We’ll cover how carriers are using AI to monitor agent activity, automate compliance checks, detect anomalies, and strengthen audit readiness—without increasing regulatory exposure.

Designed for compliance and operations professionals, this webinar provides a clear, practical view of how to move from reactive compliance processes to continuous, data-driven oversight.

Registration is required. 
Don't miss out on this FREE public webinar.

Yandy Plasencia
Founder and CEO, DataHaven Software

Yandy Plasencia is the Founder and CEO of DataHaven Software, a company redefining how insurance carriers architect, govern, and operationalize data at scale. He is a systems-focused technologist and strategist specializing in building enterprise-grade data infrastructure that bridges the gap between core insurance systems and financial data—enabling organizations to move beyond fragmented reporting toward unified, decision-ready intelligence.

With deep expertise across software engineering, data architecture, and the Property & Casualty insurance domain, Yandy has built DataHaven into a fully managed platform that unifies data lakehouse architecture, governance, and AI-driven intelligence into a single cohesive layer. His work centers on what he defines as the Insurance Intelligence Layer—a foundational system that allows carriers to standardize data, improve traceability, and operationalize insights across underwriting, claims, finance, and distribution.

Yandy is particularly focused on enabling insurance carriers to address complex operational and regulatory challenges—such as distribution oversight, agent performance monitoring, and compliance readiness—through structured data systems and controlled AI deployment. His approach prioritizes auditability, data lineage, and system integration, ensuring that AI-driven processes can be implemented responsibly within regulated environments.

Known for operating at both the architectural and executive level, Yandy designs scalable systems that align directly with business outcomes, including improved loss ratios, enhanced agent experience, and stronger compliance posture. His philosophy emphasizes long-term infrastructure control, modular system design, and enterprise-wide adoption over isolated analytics solutions.

As a speaker, Yandy focuses on the practical realities of modern data architecture, the limitations of traditional analytics approaches, and how insurance organizations can move from experimentation to execution with AI—grounded in real-world implementation and measurable results.

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Contact

SILA Staff
800-428-8329
silasupport@sila.org