Improving the Accuracy and Speed of Insurance Document

Based in Singapore, the client is a financial advisory firm, which belongs to a leading global investment firm. Currently, they wanted to improve the accuracy and speed of its insurance KYC document checks, which were previously handled through slow, manual, experience-dependent reviews by advisers and administrators. By integrating an LLM-based text-validation system into the existing workflow, the team replicated the manual compliance process with minimal behavioural change.
人数

AI Engineer, Front-end Developer, Back-end Developer, DevOps, Business Analyst

産業

BFSI (Insurance)

製品とサービス

Insurance Website Management

タイムスケール

Ongoing (since 2025)

国

シンガポール

事業概要

SmartDev collaborated with a leading financial advisory firm in Singapore to transform its insurance KYC document-validation process. Previously dependent on senior administrators’ tacit knowledge, the client’s workflow suffered from slow processing times, inconsistent accuracy, and limited scalability during peak volume.

By reducing reliance on individual expertise and removing operational bottlenecks, SmartDev helped the firm improve compliance accuracy, accelerate onboarding, and reduce revenue-impacting risks.

課題

Before working with SmartDev, the client faced many challenges before adopting AI:

  • Heavy reliance on administrator experience: KYC form checks depended almost entirely on the expertise of senior administrators, making accuracy inconsistent and difficult to standardize
  • Operational bottlenecks during high workload: When document volume increased, administrators could not process forms fast enough, slowing down the entire onboarding workflow.
  • Limited scalability of manual processes: The system could not scale effectively, as checking speed and throughput were constrained by individual capacity and manual effort
  • High compliance and revenue risk: Any checking error could void a customer’s insurance application, leading to revenue loss or disciplinary consequences for financial advisers. Case Study Finexis
  • Difficulty training new administrators: Training relied on transferring tacit knowledge from experienced staff, making onboarding slow and increasing the risk of inconsistent checks.

解決策

We implement AI and other software development to solve customer’s problems:

  • Deploy an AI-powered document validation system using LLMs to automate the manual KYC checking workflow.
  • Integrate product-specific rules so the AI can accurately audit each insurance.
  • Reduce dependency on administrator experience.
  • Improve accuracy, reduce human error and protect the business from revenue loss.
  • Support faster training and onboarding of new administrators through a system.

当社のテクノロジースタック

AI Application Core Functions

AI-Automated Compliance Validation

Reviews insurance text against predefined regulatory and policy rules.

Intelligent Error & Non-Compliance Detection

Flags incorrect, missing, or non-compliant statements in submitted forms.

Administrator Workload Reduction

Automating routine checks and accelerating document review by staff.

Standardized & Accurate Validation with AI

Ensures every case follows consistent criteria for reliable decisions.

AI-Powered Impact Highlights

+93%

Document validation accuracy

+90%

Support effectiveness (without escalation)

- 40%

Reduction in manual review time

クライアントの実績

Accelerated Product Delivery

Successfully launched a feature-rich MVP within four months, despite the complexity of AI integration and cross-time zone collaboration

Enhanced Development Efficiency

Achieved a 30.8% reduction in development time and a 1070% increase in pull request throughput, with code quality rated at 4.44

Cost-Effective Innovation

Used offshore engineering resources and a modular AI design to cut development expenses substantially while maintaining high delivery standards.

Strategic Partnership

Developed a productive partnership with SmartDev, creating a unified working cadence and a mutually aligned approach to digital transformation.

Scalable AI Foundation

Implemented a scalable, future-proof architecture designed to accommodate new functionalities and growing user volume.

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