Humanoids and the Future of Claims Adjusting
Overview
As the world delves deeper into the era of automation, the use of humanoids and advanced robotics systems in multiple industries, including claims adjusting, is on the horizon. This guide explores how these high-tech solutions are transforming the field and introduces 3Laws Robotics, leading the charge with innovative software solutions that enhance safety, performance, and reliability.
The Rise of Humanoids in Claims Adjusting
The claims adjusting industry is witnessing an interesting trend of integrating high-tech robotic solutions. According to Accenture's research, 61% of insurance executives agree that insurance organizations must adapt digitally or face failure. With humanoids and AI capabilities projected to roughly cover 80% of the claims processing tasks, the need for digital transformation becomes all the more critical. These developments offer promising advantages, such as increased efficiency, improved accuracy, and the ability to handle high volumes of complex data.
Claims Adjusting Efficiency and Accuracy
Insurance providers are always aiming to speed up the claims adjusting process without compromising on accuracy. The use of high-tech humanoids can make this possible. According to a report from Deloitte, implementation of AI and robotics in claims handling can result in an efficiency gain of up to 40 to 60%. In addition, an autonomous humanoid able to process claims 24/7 reduces the risk of human error, ensuring an error rate of less than 1%. This not only streamlines the process but also improves customer satisfaction.
Adaptability and Safety
With the adaptability and safety ingrained in their design, humanoids are ready to tackle the challenges of claims adjusting. According to a report from the World Economic Forum, over 85% of the tasks in an insurance firm may require human-robot collaboration by 2025. These figures underline the fact that humanoid robots, with enhanced safety features, can seamlessly co-exist and work alongside human workers without causing disruptions or safety concerns.
Key Takeaways
The integration of humanoids in the claims adjusting landscape is seen as substantial for efficiency, accuracy, adaptability, and safety. To recap:
- Humanoids and AI could carry out approximately 80% of claims handling tasks.
- Humanoids can result in an efficiency gain of 40-60% and an error rate of less than 1% in claims adjusting.
- Over 85% of tasks in insurance firms may need human-robot collaboration.
Introducing 3Laws Robotics
Staying ahead of these trends and the associated challenges is 3Laws Robotics, innovators of leading-edge software designed to bolster safety and reliability in the world of robotics. The company’s primary focus is addressing certification, a notable pain point for robotics companies.
3Laws Robotics designed 3Laws Supervisor, a software intended to simplify this process. Built on Control Barrier Functions (CBFs), a revolutionary technology developed at Caltech, the software provides robust safety features and system robustness evidence. This software could potentially streamline the certification journey.
The software has valuable applications across diverse industries, from warehouse automation, where it supported an autonomous forklift customer to achieve a 40% efficiency gain, to dynamic environments, where its reactive collision avoidance capabilities are crucial.
3Laws also aims to improve operational efficiency by minimizing unnecessary e-stops or collisions. Their software provides real-time safeguards for autonomy stacks, enabling robots to operate optimally while maintaining safety.
Compatible with popular robotics middleware like ROS and ROS2, the software can be adapted for use with a wide range of platforms, from mobile robots to manipulators. This positions 3Laws as a forward-thinking safety solution surpassing traditional e-stop methods, offering a proactive approach to safety, and unlocking the full potential of robotics with dynamic, predictive safety that can be safety certified for ISO 3691-4 and ISO 26262.