Step into the bold new future of insurance
The insurance landscape is shifting rapidly, and insurance leaders face a new business reality. In an experience-driven, data-fueled world, insurers must reimagine how they do business. Today insurance leaders are grappling with some key questions that are critical to the long-term success of their business:
- How do we own the customer?
- How do we stay competitive in a fast-paced digital era?
- How do we help our people do their jobs better?
- What can we do to cut costs and minimize risks?
- How do we become resilient and sustainable as a business?
Technology is central to finding answers to these questions. At SLK, we’ve been helping our clients reimagine their business with strategic adoption of technologies like AI/ML, Automation, Cloud, and Data Analytics. Join us at Insuretech Connect 2022 to experience some of our unique insurance solutions.
AI Powered Insurance Value-Chain Solutions
Underwriting Transformation
New Business Request Intake
AI/ML and automation eliminate manual document processing for new insurance requests, leading to a 10x improvement in turn around time.
Learn MoreEndorsement Processing
Automate indexing, classification, and processing of endorsement requests to improve underwriting efficiency.
Learn MoreUnderwriting Automation
AI/ML and automation remove the burden of administrative tasks and manual analysis, freeing underwriter bandwidth and providing insights for critical decision making.
Claims Transformation
Roof Top Damage Detection
Automate claim adjusting for rooftop and other complex damages with computer vision and deep learning based solution. Reduce costs and improve customer experience with quick settlements.
Learn MoreFraud Detection
Embed fraud detection into claims and policy management processes to stay compliant and prevent losses.
Claim Reserve Analysis
Predict the ultimate total incurred of each claim. This prediction is automatically updated every time new data is added to the claim file. The most common use of this solution is in connection with reserve audits