Company: SLDE
Filing Date: 2025-05-23
Form Type: S-1
Source: 0001193125-25-125836
Chunk: 148

Company: Slide Insurance Holdings, Inc.
Filing Date: 2025-05-23
Form: S-1
Chunk 148
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iator for us. Our three
pillars of focus are customer service, accuracy and efficiency. The claims department is led by our Chief Claims Officer, who has over 30 years of claims experience. As of March 31, 2025, the claims department consisted of 105 full time
employees along with 58 employees in the legal department, including 25 staff attorneys and 19 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