Adroitent

November 2024

Helped a Fintech Lender in the US with a Loan Processing Financial Solution using React.js

Fintech Loan Origination Platform with React.js | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Loans, digitized: 90% engagement, 30% lower cost How Adroitent built a digital student loan origination and processing platform for a San Francisco fintech lender — automating the full loan lifecycle with React.js, e-signatures and cloud integration. Adroitent Case FileFinTech · LendingReact.js · Node.js · AWS3 min read The inflection pointA legacy loan system holding students back The customer is a technology-enabled fintech lender headquartered in San Francisco, offering tertiary education financing — student loan refinancing, private student loans and personal loans priced to each student’s financial profile. Their legacy loan origination system couldn’t keep up. Cumbersome process: manual data entry and heavy paperwork Lengthy application processing: multiple verification layers meant long processing times and dissatisfied customers Lack of digital experience: students met a clunky online experience misaligned with fast-paced digital expectations Regulatory & compliance risks: the existing system struggled to keep up with changing regulatory requirements High operational costs: manual intervention at multiple stages drove up cost and risk Make lending faster, transparent and accessible. The interventionA digital loan origination platform Adroitent partnered with the customer to implement a comprehensive Student Loan Origination and Processing solution — leveraging financial technology, automation and cloud integration to streamline the entire loan lifecycle. Architecture & design Developed a scalable, efficient and secure architecture Designed and built the loan origination and processing solution end to end Loan & document automation Automated the origination workflow from application through underwriting Dynamically generated loan documents with e-signature-based signing Platform digitalization A user-friendly platform letting students apply, check eligibility and track status in real time Self-service portal for uploading documents, checking disbursements and making payments Quality & DevOps QA testing for performance, security and reliability across all workflows DevOps CI/CD pipelines for iterative build, release and timely deployment The game changer End-to-end automation of the loan lifecycle Workflows automated from application to underwriting, eliminating manual steps Real-time application-status tracking with automated stakeholder notifications Platform kept compliant with changing regulations, reducing manual oversight Self-service capabilities that lifted customer satisfaction React.jsNode.jsAWSRDSCypressNew Relic By the numbers 90% more student engagement Significantly faster processing Stronger compliance 30% lower operational costs By the numbers 90% more student engagement Significantly faster processing Stronger compliance 30% lower operational costs The payoffFaster approvals, lower cost Quickened loan processing Average loan processing time was reduced significantly, improving operational efficiency and customer satisfaction. Enhanced student engagement The new digital platform saw a 90% increase in student engagement, with most students completing the application process entirely online. Enhanced compliance & risk management Fewer compliance issues, reduced risk of fraud and greater accuracy in risk assessments. Increased operational efficiency Streamlined workflows and reduced manual effort led to meaningful cost savings. Improved customer experience Faster loan approvals with a seamless digital experience significantly improved satisfaction. Cost savings Automation and reduced manual processing delivered a 30% reduction in operational costs, freeing resources for growth initiatives. The stack behind itTools & technology React.jsNode.jsCypressJiraConfluenceAWSAmazon RDSNew Relic This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is a loan origination system (LOS)? A loan origination system manages the lending lifecycle — application intake, document collection, verification, underwriting, approval and disbursement. Digitizing it reduces manual work, speeds decisions and gives applicants transparency into their status. How does automation speed up loan processing? Automation removes manual data entry and handoffs: applications route themselves, documents are generated dynamically, verification checks run automatically, and stakeholders get notified in real time — cutting approval times from days to hours. Why is React.js used for financial applications? React.js builds fast, component-based user interfaces that update efficiently. For lending platforms it enables responsive, real-time experiences — live eligibility checks, status tracking and self-service portals — that work well across desktop and mobile. What are e-signatures and are they legally valid? E-signatures let applicants sign documents digitally instead of on paper. In the US they are legally recognized under the ESIGN Act and UETA when consent, intent and record retention requirements are met, making fully digital loan closings possible. How do lenders manage regulatory compliance in digital platforms? By building compliance into the workflow: automated checks against current rules, audit trails for every action, secure document handling, and configurable logic that can be updated as regulations change — reducing manual oversight and fraud risk. Digitize lending end to end. Automated origination, compliant workflows and a experience customers finish. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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Helped a global BPO leader with a Real-time Agent Tracking System using MS Dotnet

Real-Time Agent Tracking System for a Global BPO | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Every agent, in real time: 100% workforce visibility How Adroitent built a real-time agent tracking system for a global BPO leader — live status, service-level monitoring and performance dashboards that let supervisors manage their workforce as it happens. Adroitent Case FileBPO · Customer Experience.NET Core · SignalR3 min read The inflection pointScaling support without visibility The customer is a global BPO leader in customer support, providing dedicated agents, advanced technology and customized strategies for innovative brands — scaling and optimizing customer experience through data-driven, brand-specific service solutions for a global clientele. Delivering expansive customer support services to large, innovative brands at scale Needed an effective real-time agent tracking system to boost efficiency Required tighter control over a distributed workforce of agents Service quality depended on supervisors seeing issues as they happened, not after You can’t manage a workforce you can’t see in real time. The interventionA real-time tracking system on .NET Adroitent partnered with the customer to develop a real-time agent tracking system, significantly improving supervisors’ ability to manage teams efficiently and lift overall productivity by tracking agent activity as it happens. Architecture & development Developed a scalable, efficient and secure architecture for real-time tracking Designed and built the system end to end on .NET Core with SignalR Live agent status Real-time visibility of agent activity and availability Snoozed status for agents on break, with alerts to supervisors when breaks overshoot Service level monitoring Supervisors track response times and customer wait times in real time Immediate corrective action when service levels slip Dashboards & reporting KPI dashboards: call resolution time, CSAT, first-call resolution, average handling time Custom reports aggregating agent performance, customer interactions and call quality The game changer Live data that drives live decisions Supervisors make quick, informed decisions during peak and high-demand periods Tasks assigned based on agent availability and proximity for faster response Delays reduced in fast-paced environments like customer service and technical support Resources optimally utilized across the workforce .NET CoreSignalREntity FrameworkPostgresSQL By the numbers 100% workforce visibility Optimized agent performance Improved decision-making Higher customer satisfaction By the numbers 100% workforce visibility Optimized agent performance Improved decision-making Higher customer satisfaction The payoffVisible, optimized, satisfied Enhanced agent visibility & monitoring Supervisors could track agent activities in real time, enhancing workforce visibility and monitoring by 100%. Optimized agent performance Real-time performance metrics and dashboards enabled supervisors to coach and correct in the moment, optimizing agent performance by 100%. Improved decision-making Real-time agent data enabled quick, informed decisions during peak times, with tasks assigned by availability and proximity for faster response. Increased operational efficiency Monitoring agent location, activities and status in real time ensured tasks were assigned efficiently and resources optimally utilized. Enhanced customer satisfaction Faster issue resolution and improved workforce task delegation contributed to significantly higher customer satisfaction. The stack behind itTools & technology .NET CoreSignalREntity FrameworkHTML / JavaScriptPostgresSQL This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is a real-time agent tracking system? A real-time agent tracking system gives supervisors live visibility of workforce status — who is available, on a call, on break or idle — along with performance metrics, so teams can be managed and tasks reassigned as conditions change rather than after the fact. What is SignalR and when is it used? SignalR is a .NET library for adding real-time web functionality. It pushes updates from server to connected clients instantly, without the client having to poll — making it well suited to live dashboards, notifications, chat and status-tracking applications. What KPIs matter in contact center workforce management? Common measures include average handling time, first-call resolution rate, call resolution time, customer satisfaction (CSAT), service levels such as response and wait times, and adherence to schedules and breaks. Why is .NET Core used for enterprise applications? ​.NET Core is a cross-platform, high-performance framework with strong tooling, security and scalability. Enterprises use it for business applications and APIs that need reliable performance, straightforward integration and long-term maintainability. How does real-time monitoring improve customer satisfaction? When supervisors can see service levels slipping as it happens, they can reassign work, add capacity or coach agents immediately. Faster resolution and better task delegation reduce customer wait times and lift satisfaction. See your operation as it happens. Real-time systems that turn live data into better decisions. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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