Increased Efficiency
The automation of the application process significantly reduced the time required for data entry and submission, leading to faster quote approvals and policy issuance.
Azati developed online application forms for a US national leader in healthcare liability insurance. These forms automate the process of application management, including form submission, missing information gathering, decision making, and insurance quote acceptance, helping to streamline operations and reduce paperwork.
increase in straight-through application processing
improvement in data accuracy
increase in the system's data processing capacity
The client approached Azati to automate the insurance application process, aiming to minimize manual paperwork, ensure accurate and complete data submission, and allow customers to submit forms and receive quotes quickly and reliably at any time.
The traditional application process required extensive manual handling, including faxed forms, data transfer into multiple storage systems, and verification by various specialists such as customer service managers and data validators, leading to delays, increased costs, and high risk of errors that impacted client satisfaction and productivity.
Clients often submitted incomplete or inconsistent information, which required time-consuming reviews and manual corrections, compromising efficiency, delaying premium estimation, and sometimes resulting in rejection or rework of applications.
The client needed a solution capable of handling high submission volumes at any time of day, supporting users across multiple time zones without overloading internal staff, ensuring scalability, reliability, and continuous business operation.
Azati developed self-completing and submitting online forms for customers. These forms ensure easy and error-free entry of necessary information, reducing the reliance on human input.
The forms were designed to be accessible round the clock, enabling customers to submit their applications anytime.
A built-in validation system checks insurance eligibility data based on business rules before submission, preventing errors.
The application process was fully automated, including premium estimation, quote generation, and digital submission of information.
The system allows customers to digitally sign submissions and attach necessary documentation, further enhancing the automation and convenience.
Bring your complexity. We'll bring the plan. Select a convenient slot to start a conversation with our experts.
Schedule a callAllows clients to autonomously fill out and submit insurance applications online. The module minimizes human involvement, reduces errors, and accelerates the process from submission to approval.
The system is accessible at any time, allowing users to submit, adjust, or review applications without restrictions. This ensures business continuity and supports client convenience.
Built-in validation checks ensure submitted data complies with business rules before processing. This prevents errors, reduces rework, and ensures that only accurate and complete applications are accepted.
Automatically calculates premiums and generates insurance quotes based on submitted data, providing immediate feedback to users and accelerating decision-making.
Enables clients to digitally sign forms and attach supporting documents, enhancing convenience, security, and the completeness of submissions.
Generates a PDF copy of each completed application on-the-fly, enabling easy storage, retrieval, and audit of submitted forms.
The automation of the application process significantly reduced the time required for data entry and submission, leading to faster quote approvals and policy issuance.
By eliminating manual paperwork and reducing human involvement, the customer saved on operational costs, while also improving accuracy.
Clients now receive faster service and can submit applications at their convenience, improving customer satisfaction.
The system's streamlined process and automated communications resulted in higher submission ratios and greater success in detecting potential clients.
Last updated