The Role of Policy Checking Software in Risk Management - A Comprehensive Guide

Policy checking is a vital aspect of the insurance industry, as it ensures that policies comply with regulations, accurately reflect the coverage that policyholders have requested, and mitigate risks. A comprehensive policy check can help Brokers avoid costly errors and prevent legal and financial repercussions, which can damage the Broker’s reputation and cause significant financial losses.

Without proper policy checking, insurers may issue policies that do not provide the coverage that was promised, or inadvertently include exclusions that invalidate the policy. In either case, the policyholder may not be able to make a claim, which can lead to legal action and reputational damage for the Broker’s.. Inadequate policy checking can also lead to gaps in coverage or over insurance, which can be costly, both for the Broker and the policyholder.

Policy checking has become an essential step in risk management for insured’s. It ensures that policies comply with regulations and are tailored to the policyholder's needs. Policy checking also enables Broker’s to identify and mitigate risks, reducing the likelihood of costly errors and legal disputes. This makes it critical to ensure the competitiveness, trustworthiness and sustainability of the insurance industry.

InsurTech: A Game-Changer for Modern Risk Management

InsurTech has transformed the insurance industry by offering innovative and cutting-edge solutions to complex business problems. By leveraging artificial intelligence (AI), insurers can now process vast amounts of data more quickly and accurately than ever before. Machine learning algorithms enable insurers to analyze customer behavior, identify patterns and trends, and provide personalized recommendations. This allows them to offer customized insurance policies tailored to each customer's specific needs and preferences.

InsurTech has also transformed risk management by enabling insurers to better assess and manage their risks. By leveraging big data analytics, they can easily identify potential risks and vulnerabilities and develop strategies to mitigate them. This includes analyzing historical data, market trends, and other external factors to develop a more comprehensive view of risks.

InsurTech has improved operational efficiency by automating routine tasks such as policy checking and claims processing, allowing insurers to allocate their resources more effectively. This has led to significant cost savings and improved customer satisfaction, allowing customers to receive faster, more accurate service.

Insurers can now offer real-time, on-demand insurance policies, allowing customers to purchase coverages when they need them. Additionally, they can leverage AI-powered chatbots and virtual assistants to provide customers with 24/7 support and assistance.

Reshape Underwriting and Risk Scoring with Advanced Technologies

InsurTech has introduced several advanced technologies which have reshaped underwriting and risk scoring. Here are some of them.


Cloud Computing: Cloud computing has been a game-changer for the insurance industry. It has transformed the way insurers store and access data, making it easier for them to collaborate and make informed decisions. With cloud computing, insurers can store large amounts of data in a centralized location that can be accessed from anywhere at any time, as long as there is an internet connection.

Internet of Things: The Internet of Things (IoT) has transformed the way insurers collect and use data. IoT devices, such as sensors and wearables, can collect vast amounts of data that can be used to assess risks more accurately. This data can help insurers identify potential risks and prevent losses before they occur, ultimately leading to lower claims costs and improved customer satisfaction.

Big Data and Predictive Analytics: Big data and predictive analytics have transformed the insurance industry by allowing insurers to analyze vast amounts of data and gain insights that were previously impossible to obtain. By leveraging big data and predictive analytics, they can analyze data from various sources such as social media, credit scores, and telematics data, to identify patterns and trends that can be used to make more informed underwriting decisions and price policies more accurately.

RPA and Artificial Intelligence: RPA and AI have several applications in the insurance industry. They can be used to automate a variety of repetitive and time-consuming tasks, such as data entry, claims processing, and customer service. This can free up employees to focus on higher-level tasks and improve the overall efficiency of the organization.

Blockchain: Blockchain technology can be used to create smart contracts, which are self-executing contracts with the terms of the agreement between the parties being directly written into lines of code. This can help automate insurance claims processing and reduce the risk of fraud. Smart contracts can be programmed to automatically trigger specific actions, such as claims payments or the processing of claims data.

Eliminate Risks through Policy Checking Automation

Eliminating policy checking risks through automation needs to go through a systematic approach to ensure proper compliance with policies and regulations. These are some of the steps involved in policy checking automation:

Identifying policy requirements: This involves determining specific requirements that need to be checked in insurance policies. These will include looking at coverage limits, policy exclusions, deductibles, endorsements and other key details.

Developing a policy check algorithm: Once the policy requirements are identified, you can create an algorithm with predefined rules and regulations to automatically check if the policy documents are meeting the defined requirements. This algorithm will then be able to extract the relevant information from the documents and compare that information with the criteria that have been predefined.

Validating policy details: Develop automated validation processes which will ensure the accuracy and integrity of the information that has been extracted. This can also involve the cross-referencing of policy data with external sources or databases to verify its accuracy.

Checking for compliance and regulatory requirements: Carry out checks to ensure that the policy meets all regulatory and compliance guidelines. This could also include verifying if the policy complies with industry and legal standards.

Identifying possible risks: The algorithm must be well trained to identify potential risks and discrepancies in policy documents. This will involve flagging inconsistencies in the document, missing information or clauses of non-compliance.

Generating automated reports: Create automated reports that will be able to summarize the results of policy checks. These reports will clearly highlight identified risks and issues, allowing insurers to take action at the right time.

Automating the policy checking process will make sure that insurers eliminate risks and ensure that policies are accurate and comprehensive. This process helps minimize the risk of errors and omissions, ensuring that policies comply with regulatory requirements and industry-best practices.

Smart Policy Review and Check with Exdion

Exdion is an innovative InsurTech company that offers a smart cognitive AI platform for policy review and checking. Exdion's Policy Check platform uses advanced AI and machine learning algorithms to identify variances in insurance policies and eliminate tedious manual policy checking.


Our platform is designed to help insurers streamline their policy checking process and reduce errors and omission (E&O) risks. It does this by checking for each specific E&O risk area, including policy coverage, limits, exclusions, and endorsements. By automating this process, the platform helps insurers save significant time and mitigates errors.

Exdion's Policy Check platform uses advanced machine learning algorithms to analyze insurance policies and identify variances. The platform's cognitive AI technology is trained on vast amounts of data, allowing it to identify patterns and trends and make accurate predictions. This enables the platform to provide insurers with actionable insights that can help them improve their policies and reduce risks.

Exdion's Policy Check platform has proven to be a valuable tool for insurers looking to improve their policy checking process and reduce E&O risks. By leveraging advanced AI and machine learning technologies, Exdion Policy Check streamlines the entire policy checking process, helping policies get checked in minutes, rather than days. It has provided insurers with valuable insights to help them improve their policies and serve their customers more effectively. Experience fast, accurate and cost-effective policy checking today. Get in touch with us to transform your policy checking experience.

Scroll to Top