Company: SLDE
Filing Date: 2025-04-25
Form Type: DRS/A
Source: 0000950123-25-003716
Chunk: 138

Company: Slide Insurance Holdings, Inc.
Filing Date: 2025-04-25
Form: DRS/A
Chunk 138
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. As of December 31, 2024, the claims department consisted of 88 full time
employees along with 48 employees in the legal department, including twenty staff attorneys and sixteen paralegals.

We closely manage all
aspects of the claims workflow, from processing the initial filing to offering remediation services, as we believe that it is important to have direct oversight over the claims process. We aim to handle all claims with our employees, and do not
intend to outsource our attritional claims functions at any point apart from field adjusting or inspection services, where we may use outside personnel. In the limited instances where we do not handle claims
in-house, such as a high-volume catastrophic event, we use a combination of inside and outside adjusters to perform examining, field adjusting, special assignments and catastrophe inspection services. These
partners have been vetted, approved and trained well in advance and have committed the required resources. We maintain control over the handling process, reserving and payment authority with the outside support reporting directly to our employees.

We are focused on building a culture of automation and efficiency. Our claims department benefits from the implementation of workflows
where certain actions are triggered based on specific claims events which reduces lower-value administrative tasks and allows for more efficient decision-making and claims resolution.

We have built a preferred vendor network to provide various mitigation services such as tarping, water mitigation and tree removal. By pre-negotiating contracts with these vendors, in the event of covered damages, we can accelerate the restoration process while minimizing repair costs. For example, during Hurricane Ian, we utilized this network to
reduce costs and mitigate further damage while improving customer satisfaction. We also maintain constant communication with policyholders to protect them from poor workmanship and fraud, by encouraging them to use our preferred vendor network.

We have built-in processes and trainings for the detection and prevention of fraudulent activity in
claims. We continue to research, test and pilot the use of machine learning and artificial intelligence to flag early indications of fraud and the potential for litigation.

In addition to the streamlined claims management system, we use enterprise-wide data management to create a data-driven claims life cycle. We
aim to determine relationships between similar claims and outcomes and utilize predictive analytics from the data to triage, assign, investigate and evaluate claims. The use of our historical dataset with this real-time business intelligence
platform provides the claims team information and performance metrics that drives improvement in efficiency, accuracy and response time and helps to avoid litigation.

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