Archives: Projects

Automated Customer Service for a Global Telecommunications Company

A global telecommunications company automated its customer support operations using a Pega-powered omnichannel platform, integrating AI and automation to enhance efficiency and personalization. The solution unified email, chat, and phone support, automated workflows, and leveraged AI-driven chatbots and proactive customer service. As a result, response times

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Streamlined Claims Processing for an Insurance Company

A leading insurance company modernized its claims processing with a Pega-based automation system, streamlining workflows, enhancing accuracy, and improving compliance. By integrating AI-powered fraud detection, decision automation, and real-time customer communication, the company reduced claims processing time by 60% and manual effort by 50%. The system

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Automating Onboarding Processes with Backbase Business Process Engine

A leading commercial bank in Singapore enhanced its retail and corporate customer onboarding by deploying a business workflow system using Backbase Business Process Engine, Camunda, and Case Manager. The solution automated KYC/AML checks, streamlined workflows, and improved compliance while reducing manual intervention by 60%. Onboarding time

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Migrating all projects from AWS Landing Zone to AWS Control Tower

A leading healthcare provider in Singapore successfully migrated its AWS environment from Landing Zone to AWS Control Tower, enhancing governance, automation, and multi-account management. By adopting a phased migration approach, leveraging automation tools, and ensuring compliance, the project minimized downtime and ensured seamless data transfer. The

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Building a Retail Customer Onboarding Solution on AWS for a Singaporean Bank

A leading commercial bank in Singapore revolutionized its customer onboarding process by implementing a digital onboarding solution on AWS. The system streamlined product sign-ups for CASA, credit cards, and loans, reducing manual intervention and ensuring regulatory compliance. By leveraging AI-driven verification, automation, and scalable cloud infrastructure,

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Migrating a Retail Banking from On-Premise to AWS

A leading commercial bank successfully migrated its on-premise Backbase Retail Banking System to AWS Cloud, enhancing scalability, security, and cost efficiency. The migration leveraged AWS services such as EC2, RDS, and CloudWatch to optimize performance, ensure compliance, and improve disaster recovery. As a result, the bank

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Leveraging Smart Contracts and Blockchain for Insurance Contract Management

A Vietnamese insurance company transformed its contract management system with blockchain and smart contracts, automating policy issuance, claims processing, and regulatory compliance. By leveraging blockchain for data integrity and IoT integrations for real-time verification, the company reduced operational costs by 30-50%, accelerated claims processing from weeks

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Cross-Border Payment Solution for Fintech start up

A fintech startup revolutionized cross-border remittance services by leveraging blockchain technology. Facing high transaction costs, slow processing times, and limited transparency, the company implemented a permissioned blockchain network, smart contracts, and digital assets as bridge currencies. The solution reduced transaction fees by 50-70%, enabled instant payments,

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Using Blockchain to Build a Loyalty System for a commercial Bank

A Vietnamese commercial bank modernized its loyalty program using blockchain technology, creating a transparent, efficient, and flexible rewards system. By tokenizing reward points and implementing smart contracts, the bank automated point management, expanded usability across partner ecosystems, and enhanced customer trust. The new system reduced operational

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AI-Powered Prediction System for Debt Collection System

Project overview A financial services , sought to enhance its debt reminder and management system by implementing an AI-powered solution to predict the likelihood of customers defaulting on their loans. The goal was to enable proactive risk management, improve collection strategies, and optimize resource allocation by identifying high-risk

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