We provide tailored machine learning solutions

We assist insurance companies in leveraging AI to boost profitability and enhance efficiency. By utilizing AI  insurers can streamline customer service, implement advanced fraud detection mechanisms, and optimize overall operations.

Get Started

Insurance

Today’s insurance companies are embracing AI to improve profitability, become more efficient and, ultimately, create a better customer experience. We at Lotus Labs empower Insurance Companies to improve customer service, fraud detection, and operational efficiency with AI Intervention

Lotus Labs collaborated with DIS (Disability Insurance Services) to conduct a strategic workshop, resulting in a comprehensive plan with a detailed timeline. The initiative focused on :
‍
• Improving and enhancing underwriting software
• Future-proofing systems
• Building a robust data lake
• Optimizing accounting processes
• Developing an executive dashboard for advanced analytics

Read Case Study


Insurance brands save time and effort using machine learning to assess damage in accidents, identify anomalies in billing, and more. LotusLabs provides insurers with machine learning solutions to optimize their market selection, pricing, and claims management. Machine learning is positively impacting the whole insurance industry. LotusLabs can bring a sustainable, cost-effective, and inclusive strategy within your organization.
Here are just a few ways the insurance industry is being transformed.

Case studies refined with AI

Automated Campaign System: 
‍
We developed an AI-powered automated campaign system for insurance brokers, sending reminder emails and texts to policyholders about increased policy options.  The system uploads policyholder information spreadsheets and uses predefined outreach templates.  Cadence for follow-up messages is customizable, and the system increased revenue by 60% in six months for one client.

AI-Powered Accounting System: 

‍Our AI-powered accounting system automatically determines commissions for carriers based on agent and affiliate hierarchy.  The system identifies unpaid commissions on inforce policies, which is normally a difficult, manual process. This system recovered $290K in lost commissions and prevents future losses.

Automated Underwriting Applications: 

‍We use AI and OCR to convert quotes/proposals into underwriting applications, saving clients $192k per year.  This eliminates the need to reenter policyholder and agent information when using separate systems for quotes and applications.

Optimized Claims Management


Access state of the art, machine learning algorithms to:

  • Identify potential fraudulent claims.
  • Identify and flag potentially fraudulent claims.
  • Predict claims severity and large loss potentials.
  • Search, categorize and summarize automatically text.
  • Identifies policies that are likely to lapse, and how to approach the insured about maintaining the policy.
  • Identify individuals that may have too much, or too little, insurance. Then, proactively help them get the right insurance for their current situation.
  • Improves the customer experience by offering relevant information about the coverage the insured may need based on life events
  • Uses unsupervised machine learning to discover predictors in claims activity. This information can help set assumptions and feed into activities such as pricing models or risk analyses.

Machine learning is positively impacting the whole insurance industry. LotusLabs can bring a sustainable, cost-effective, and inclusive strategy within your organization. Here are just a few ways the insurance industry is being transformed.

Reduced churn

Insurers lose money when good customers don’t renew, as lapsed policies need to be replaced with more costly new business. LotusLabs can help you identify customers and incorporate the risk of “churn” into your renewal pricing, leading to reductions in cancellations and non-renewals.

Fraud detection

LotusLabs can help you create machine learning models that detect with high accuracy the ever-evolving methods of fraud. Claims scoring high for probability of fraud can be further investigated, increasing the accuracy of your fraud detection system.

Image Analysis

Given images of a car or property, machine learning algorithms can identify structures on the object and any condition issues. Insurers can proactively help customers schedule repairs by identifying issues or suggest other type of coverage.

Insurance advice and customer service

Consumers expect personalized solutions, and machine learning makes that possible by extrapolating patterns from a customer profile and providing products that are relevant for that customer and that would be the best for them based on set criteria.Machine learning algorithms play an important role from the first interaction when determining what coverage is best to ongoing customer service. According to Accenture, 74% of customers that interact with chat-bots, would like to receive computer-generated insurance advice.

Insurance claims prediction

Insurance companies are extremely interested in the prediction of the future. Accurate prediction gives a chance to reduce financial loss for the company. A major cause of increased costs are payment errors made by the insurance companies while processing claims. Furthermore, because of the payment errors, processing the claims again accounts for a significant portion of administrative costs. We can help insurers to efficiently screen cases, evaluate them with greater precision, and make accurate cost predictions. See a detailed case study in this article.