The critical importance of implementing a Risk Object Management System (ROMS) for insurance companies lies in gaining a thorough understanding of risk profiles.
As outlined in the previous articles on portfolio risk control and remote risk assessments, insurance companies have significant opportunities to enhance profitability and better serve customers through proactive risk management. However, to fully capitalise on these opportunities, insurers must make foundational investments to create an organisation capable of utilising the technology and leveraging the data. One essential need is implementing a ROMS — a solution that accumulates data on risk objects like fleets, marine vessels, and machinery to understand risk profiles and maintain constant visibility into portfolio exposure. With the right infrastructure in place, including ROMS, insurers can take advantage of key market trends and position themselves for a profitable future driven by proactive data-centric risk management.
Data accumulation is critical
ROMS provides insurers with the foundation to accumulate comprehensive data on risk objects such as machinery, fleets, and equipment, analyse risk more accurately, and gain ongoing insight into portfolio exposure. As discussed in previous articles, new technologies like IoT sensors, drones, and geospatial imagery are generating vast amounts of risk data. ROMS gives insurers the capacity to collect and structurally organise this data to create detailed risk profiles. Records of incidents, maintenance, and other relevant factors help in creating a comprehensive risk profile. This isn’t about merely compiling data; it's about understanding risk more accurately and pricing insurance products accordingly.
Constant insight into exposure
The objective is straightforward – always understand what’s at risk. With a ROMS, insurers can make data-driven decisions about underwriting and pricing, using both current and historical data. This minimises unforeseen events and helps manage risks more proactively. With clear visibility into risk objects' maintenance records, damage history, operating conditions, and other factors insurers can price policies appropriately and identify risks requiring mitigation.
Transition of risk object history
ROMS also enables the transition of risk object data when ownership changes, retaining crucial historical information. If a risk object (like a piece of machinery) moves to a new owner and is insured by a different entity, its risk profile, shaped by historical data, doesn’t vanish. Insurers can still access this data, ensuring that their risk assessments are accurate and reflective of the object’s history.
Leveraging technology for enhanced management
Advanced technologies like AI, blockchain, and real-time IoT monitoring can enhance ROMS capabilities as outlined in the IoT article. AI algorithms can rapidly analyse large volumes of risk data to detect patterns and provide recommendations. As new data is added to the system through IoT sensors or other sources, AI models can rerun their analyses to keep risk assessments current.
Real-time IoT monitoring, through sensors on risk objects, provides continuous data streams into ROMS. This enables dynamic tracking of operating conditions, usage, location, and other metrics. Abnormal sensor readings can trigger alerts for proactive loss prevention and maintenance.
This kind of predictive analytics can be seamlessly integrated into insurance platforms such as policy admin system or underwriting workbench, taking the capabilities of the insurer to the next level. This will help insurers across their entire value chain from market/competitor analysis to risk scoring, loss prevention, fraud identification, and even claims adjustment.
While blockchain can bring robust cybersecurity, data accuracy, and transparency to the risk data collected in ROMS, this is more of a future state. The decentralised nature of blockchain can make data tampering virtually impossible. Smart contracts can automate data sharing with strict permissions, ensuring information flows securely between insurers and clients. However, significant improvements in technology and adoption is required before this become commonplace in the insurance industry.
Overall, ROMS allows insurers to adopt the practical, collaborative risk management approach advocated across these articles.
🔍 What's covered in the series:
Part 1: Technology's Role in Bringing Risk Control to Your Whole Portfolio
Part 2: Transforming Risk Control Services Through Remote Assessment
Part 3: Harnessing Real-Time Insights for Risk Control with IoT
Part 4: Unlocking Risk Control Insights with the Power of Predictive Analytics
Part 5: Why Insurance Companies Need a Risk Object Management System
Join us in this exploration of cutting-edge risk control methodologies, technological innovations, and forward-thinking strategies that not only enhance profitability but also position commercial insurance companies at the forefront of proactive and data-centric risk management. Download the entire article series now.
Adopting a practical approach to risk management
By consolidating large volumes of risk data into structured profiles, ROMS empowers insurers to understand exposures better, redirect capital to higher-risk areas, and design targeted risk mitigation strategies. This aligns with the goals of lower claims, improved underwriting accuracy, and increased customer retention outlined in the portfolio risk control article. For insurance companies looking to implement cutting-edge risk management, a robust Risk Object Management System is an indispensable strategic asset. Embracing a Risk Object Management System, therefore, should be viewed not just as an operational necessity but as a strategic move that enables insurance companies to be more accurate, efficient, and resilient in the face of evolving risks and an ever-changing operational landscape.
To learn more about risk control, download the complete article series in a single PDF format. Reach out to us if you wish to explore our tailored solutions.
