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Kentico CMS Implementation: An Informative Guide for Digital Enterprises in 2025

Kentico CMS Implementation Guide for Digital Enterprises 2025 Home/ Blog/ Kentico CMS implementation: an informative guide for digital enterprises in 2025 Insights · SaaS and ERP Kentico CMS implementation: an informative guide for digital enterprises in 2025 Kentico is an ASP.NET-based CMS and digital experience platform (DXP) for mid-sized to enterprise businesses. This guide covers CMS types, Kentico versions, the six implementation phases, best practices, and challenges. Adroitent InsightsSaaS and ERPKentico CMS11 min read Kentico is an ASP.NET-based CMS and digital experience platform (DXP) for mid-sized to enterprise businesses. Key takeaways Kentico is an ASP.NET-based CMS and digital experience platform (DXP) best suited for mid-sized to enterprise-level businesses. It offers a drag-and-drop page builder, multi-site management, e-commerce, AI-powered recommendations, and GDPR/HIPAA compliance. A Kentico implementation follows a structured six-phase approach from Discovery and Planning through Post-Implementation Support. Adroitent brings 7+ years of Kentico practice, an established Kentico CoE, and 20+ projects delivered to Fortune 500 clients. IntroductionWhat is a Content Management System (CMS)? A content management system (CMS) is a software that helps users to create, manage, and modify digital content. Users can create, edit, and organize their content along with publishing the same content from the dashboard. The CMS helps users customize the interface to their needs and assign privileges to different roles. The various types of CMS include Open Source, Proprietary, and Software as a Service (SaaS) CMS including cloud-based solutions. This CMS software helps to modify content and upload without the need for any coding or technical knowledge. The platformsCMS features overview and major CMS platforms Some of the most important features of CMS include intuitive indexing, quick search and indexing, seamless format management of HTM and PDF documents, and publishing content using templates. Some of the most common CMS platforms: WordPress: This is an open-source CMS that is widely used by many organizations. It is highly customizable with both paid and free themes and plugins available. Drupal: This CMS is designed for large organizations and offers a large library of modules and themes to choose from. It is easy to customize and deploy and can handle large volumes of data. Joomla: This is an open-source web CMS and is built on a model-view-controller framework. It is written in PHP and has many features such as caching, RSS feeds, blog posts, search, and support for language translation. Sitecore: It is a widely used Web CMS globally. Some of its features include personalization, marketing automation and E-commerce sites. Sitecore is best used to improve businesses’ online presence and improve engagement and conversion rates. Kentico: Kentico is also a Web CMS and a digital experience platform (DXP) that enables organizations to build, customize, and manage websites, online stores, and various other digital applications. This blog article focuses on various aspects of Kentico and why its implementation will matter a lot to digital enterprises in 2025. Why KenticoWhat is the importance of Kentico CMS for digital enterprises? In recent times, the Kentico CMS platform has gained a lot of importance for enterprises, as it has powerful features and is best defined as a digital experience platform (DXP). It is an ASP.Net-based CMS best suited for mid-sized to enterprise-level businesses. Kentico CMS innovative features: Some of its major features include Drag and drop page builder helps with quick content creation, quick and easy Multi-site management, E-commerce capabilities for building online stores, personalized shopping experiences, seamless payment gateway integrations, and AI-powered content recommendations. Effective digital experience platform (DXP): DXP has been named as enabling the best digital experience platform and provides personalized content delivery and supports A/B testing, email marketing, and marketing campaigns. The other features include: Easy-to-use interface: Kentico CMS is defined as a robust CMS with an easy-to-use drag-and-drop interface. Enterprise-level security: It delivers robust security features with enterprise-level security delivering peace of mind to businesses and their customers. Scalability & flexibility: Kentico CMS improves scalability, provides more flexibility, and optimizes the performance of websites with effective performance optimization. Personalized user experiences: It delivers personalized user experiences based on customer behavior, preferences, and demographics which enhances brands’ online presence. Security and Compliance: Supports GDPR, HIPAA, and other data privacy regulations. Multi-level and multi-lingual: Allows to create and manage content in multiple languages across websites from a single platform. Digital experience benefits with Kentico CMS Best CMS for E-commerce and Online Shopping Sites: It is best suited for building, managing, and optimizing websites, especially E-commerce sites, enabling a unified digital experience. Personalized experiences: Uses AI-driven personalization to customize experiences based on the user behavior. Omnichannel content delivery: Delivers a consistent and engaging user experiences across multiple channels such as websites, mobile apps, email, social media, etc. AI-powered marketing automation: Enables quick and easy marketing automation for emails and campaigns. Data-driven decisions: Enables data-driven decision-making by leveraging data insights to optimize marketing strategies. Brand loyalty: Improves brand loyalty with personalized customer journeys enabling seamless CX. Go-to-market: Helps enterprises to go to market faster with streamlined workflows by repurposing content. The versionsWhat are the latest versions of Kentico for businesses to know? Kentico CMS platform features have significantly evolved over the years with continuous improvements with added new features Kentico has versions from Version 1 to Version 13. The Kentico Xperience 13 has a total of 10 refresh versions in it, named as 13.1, 13.2…13.10. Each of these versions has special features such as a powerful search index, content personalization using Recombee AI, sentiment analysis, widget zone names, Jira integration, Algolia integration, Google search console integration, enhanced UX in widget properties, Twilio SMS integration, Salesforce integration, Support for WebP and SVG formats, etc. Xperience by Kentico’s hybrid headless architecture: This architecture enables faster and more flexible implementation, allowing you to start small and build as you evolve, with its rich set of ready-to-go capabilities and APIs. Kentico Xperience: A complete DXP solution for web content, e-commerce, and marketing. Kentico Kontent: A headless CMS for structured content management via APIs. With so many benefits listed, digital businesses should adopt Kentico CMS implementation to

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Unleashing the Top Seven Trends in Recruitment for 2025

Articles / admin

Table of Contents An Overview of AI in RecruitmentWhat are the Key Benefits of AI in Recruitment for Enterprises?What are the top Seven Trends in Recruitment for Enterprises in 2025? Generative AI to Dominate AI-driven Candidate Sourcing and Matching Hyper-personalized Candidate Experience AI as Talent Acquisition (TA) Superpower Automation of Administrative Tasks AI Virtual Assessments and Interviews Predictive Analytics for Data-driven Hiring How can you Reduce Time-to-Hire by 50% with Adroitent’s DROIT AI? An Overview of AI in Recruitment Artificial Intelligence (AI) continues to evolve rampantly with ground breaking innovations shaping the world in an unprecedented way across all industry domains. The recruitment and talent acquisition landscape is evolving rapidly as AI and automation are leading this change. The integration of AI into the recruitment processes has emerged as a game-changer, enabling enterprises and organizations to attract top talent, enhance candidate experience, and make data-driven hiring decisions. AI and automation continue to play a significant role into recruitment. Today’s enterprises can transform their hiring process from a time-intensive process to a more streamlined process embracing AI. Let us know some latest research analyst facts about the significance of AI in Recruitment According to Statista’s latest report, the market size in the AI market is projected to reach US$243.70bn in 2025. The market size is expected to show an annual growth rate (CAGR 2025-2030) of 27.67%, resulting in a market volume of US$826.70bn by 2030. In global comparison, the largest market size will be in the United States (US$66.21bn in 2025). According to an AI recruitment statistics report by Demandsage, the enterprise sector of AI recruitment will grow at a CAGR of 6.78% between the years of 2023 to 2030. 44% of recruiters said saving time is one of the main reasons to implement AI in hiring. According to 67% of hiring decision-makers, the main advantage of using AI in the recruitment process is its ability to save time. According to Market Research Future, AI Recruitment Market Size was valued at USD 577.7 Million in 2023. The AI Recruitment market industry is projected to grow from USD 617.5 Million in 2024 to USD 1,053.16 Million by 2032, exhibiting a CAGR of 6.9% during the forecast period (2024 – 2032). According to another report, AI is revolutionizing the world of recruitment. So, it is no surprise that 43% of human resources professionals are already using AI in their hiring processes. The reason behind this rapid adoption is that organizations are starting to see the potential of AI and what it can do to improve their recruitment efforts. What are the Key Benefits of AI in Recruitment for Enterprises? Enables to process large volumes of applications to get the right fit Ensures unbiased hiring with improved candidate quality Enhances candidate engagement and candidate experience Reduces time-to-hire significantly Helps to write job descriptions with candidates resumes Enables customizable recruitment pipelines Helps to optimize recruitment process Eliminates bias in recruitment Facilitates usage of predictive analytics for effective workforce planning Empowers businesses with a competitive advantage What are the Top Seven Trends in Recruitment for Enterprises in 2025? 1. Generative AI to Dominate According to an article titled, ‘A Comprehensive view of the Application of AI in Recruitment and Selection,’ by Research Gate 2024, Deep-learning AI models aims to find qualified internal and external candidates and fill the gap in talent availability with an unbiased selection enabling a personalized experience. Today, many organizations continue to leverage Generative AI models to find, select, hire, and retain talent. According to a report by Market Research Future 2024 , with an increasing number of organizations looking to automate and improve their hiring processes with AI, the market for recruiting by AI is witnessing a dramatic change. 2. AI-driven Candidate Sourcing and Matching The traditional methods of sourcing and screening candidates are time-consuming and lack viability in today’s changing business requirements. AI algorithms can analyze vast amounts of data to identify high-potential candidates. Enterprises using AI-driven candidate sourcing and screening have seen a reduction in time-to-fill positions by up to 50%. This approach minimizes human error and unconscious bias ensuring a more diverse and high-quality talent pool. Furthermore, AI-enabled sourcing and matching in 2025 enables recruiters to review large number of resumes in a short time, write job descriptions with candidate resumes, identify the best candidates and match them with suitable job opportunities. This shortens the recruitment process, and directly targets talent acquisitions, and significantly improves overall recruitment process. 3. Hyper-personalized Candidate Experience In today’s competitive hiring landscape, AI-powered recruitment strategies in the year 2025 will play a crucial role in engaging top talent effectively. AI enables recruiters to craft tailored messaging that aligns with individual candidate preferences, experiences, and career aspirations, fostering personalized candidate engagement and higher response rates. AI-driven insights help recruiters reconnect with past candidates, and strengthen employer branding, reinforcing relationships with candidates. Therefore, by leveraging AI, recruitment teams can deliver hyper-personalized, timely, and impactful communication, driving better candidate experiences and improved hiring outcomes. 4. AI as Talent Acquisition (TA) Superpower Embracing AI in recruitment definitely gives a competitive edge to enterprises as in 2025, it’s all about working smarter in an innovative manner. From screening inbound applicants to rediscovering talent, AI can help recruiters to make smart hiring with AI-enabled candidate screening and matching to get the right fit for the correct job role, thus making AI as a superpower for talent acquisition. 5. Automation of Administrative Tasks AI’s role in automating administrative tasks in recruitment enhances efficiency, reduces costs, and enables recruiters to focus on higher-value activities, ultimately leading to more effective and human-centric hiring processes. AI systems can swiftly analyze and rank resumes based on predefined criteria, ensuring that only the most qualified candidates are shortlisted. By automating tasks, AI not only streamlines the recruitment process but also allows human resource professionals to dedicate more time to focus on other strategic functions such as building relationships and developing effective hiring strategies. While AI and automation are redefining the nature of administrative work in 2025, they are also creating

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Established Quality Assurance Center of Excellence for Automotive Software leader

QACoE, Software Engineering / admin

Adroitent Quality Engineering Services established and set up a Competence-driven Technology Practice – Quality Assurance Center of Excellence(QACoE) for an Automotive Software Leader in the US. Key Business Outcomes Enabled 20-30% cost savings with early detection of defects across SDLC Accelerated time-to-market by 10% Improved customer satisfaction significantly About the Customer The customer is a technology-enabled automotive leader that brings dealers and consumers together across North America with cutting-edge software products for car dealers. The customer’s all-in-one software for dealers includes trade-in valuations, payment calculators, digital brochures, videos for sales teams, service departments, and other service offers. Customer Challenge The customer faced critical challenges with their software as their time-to-market was largely delayed with bugs identified in production and they did not have an effective quality assurance (QA) practice within their system. Their software releases were delayed due to defects and issues identified and had no proper QA in place to effectively verify and validate their software. The existence of issues impacted their dealers and other prospects and adversely affected their business bottom line. Solution Delivered Adroitent partnered with the customer to establish and manage an end-to-end Quality Assurance Center of Excellence (CoE) as a part of establishing a Competence-driven Technology Center of Excellence (TCoE). Adroitent’s team established a centralized hub to standardize, improve, and oversee quality practices across the customer’s projects to ensure best quality assurance practices are adopted to enable high-quality solutions. Solution Highlights Adroitent’s quality assurance (QA) team established a Quality Assurance Center of Excellence by setting up a testing practice that helped the customer to continuously improve its quality assurance process, reduce defects, and increase the quality of deliverables, thus achieving quicker time-to-market and quicker ROI. Technology Leveraged The technology leveraged included JIRA, Playwright test automation tool, and X-ray for test management. Activities taken up as Part of establishing Quality Assurance Center of Excellence (CoE) Deployed Adroitent’s core team: The Adroitent’s core team involved in this project consisted of the Delivery Head, Project Manager, Test Lead, Test Engineers (Manual and Automated), and Business Analyst. Leveraged Automation tools and technologies: Adroitent’s QA teams leveraged the technology stack that included Typescript – Playwright automation tool, Jira, X-ray for test management, and Confluence to ensure seamless testing of the modules. Established reusable test document repository: QA teams enabled effective documentation, developed test plans and procedures, and adopted best QA practices. The reusable test assets created were test cases, automation scripts, and various other test templates to ensure quicker and faster testing outcomes for the customer. Developed a comprehensive test automation framework: The process included Test planning and design, Test case creation and maintenance, Test execution and reporting, and Test data management. Adroitent’s QA teams adopted some key considerations for automation testing that included prioritization of test case selection, effective test data management, Test environment setup, Test reporting and analysis along with effective maintenance and optimization. Established scalable quality assurance processes: Enabled functional testing for the customer. We performed reviews to ensure a seamless quality assurance process. Teams performed Defect Management to identify processes for identifying, tracking, and resolving defects. Enabled seamless reporting and analytics: Teams were involved in reporting dashboards and also enabled real-time views of quality metrics, defect trends, and test coverage. The detailed reports on quality performance were shared with the product owner and stakeholders and provided effective data-driven recommendations for QA process improvements. Adopted a process of continuous improvement: QA teams regularly assessed the CoE’s performance and identified opportunities for improvement. Teams ensured to stay updated with the latest testing trends and technologies to enable effective outcomes for the customer. Adroitent also conducted regular training and skill development programs for its team members. Business Outcome Teams identified defects at an early stage and the %Defect Rate on average was 31% thus reducing the overall costs by 20-30%. Production defect slippage was reduced significantly for critical and high-severity defects. Ensured better test coverage: QA teams created more test cases to ensure superior and better test coverage. This led to fewer defects and avoided repetitive work at later stages, ensuring enhanced customer satisfaction with a fully functional product. Enhanced efficiency and overall productivity: QA CoE helped to streamline processes, workflows, and resources, which enhanced efficiency and overall productivity. The customer had fewer production issues and other quality issues, leading to lower costs, and higher productivity, helping them gain a better market position. Improved customer satisfaction: QA team identified tricky bugs in mobile apps and effective use cases were written and tested for both iOS and Android. The QA team approach focused more on Smoke tests which helped to find more bugs apart from the tickets and supported infra execution through automated test cases that improved customer satisfaction significantly. Accelerated time-to-market by 10%: Adroitent’s QA CoE establishment helped to provide high-quality products to market by identifying and resolving show-stopper issues at an early stage during the agile development, thus accelerating time-to-market by 10%. Reduced costs and risks: QA CoE teams helped the customer to minimize the defects and ensured no re-work which reduced costs and risks significantly. Connect with us

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Helped a Healthcare Wellness Provider With Analytics Platform Using Ruby on Rails

Ruby on Rails, Software Engineering / admin

Ruby on Rails Health Analytics Platform | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Predicting health: Ruby on Rails at wellness scale How Adroitent built a highly configurable predictive health analytics platform for a wellness provider — plugin-based Ruby on Rails, integrations with labs and diagnostic centers, and AI-driven health projections. Adroitent Case FileHealthcare WellnessRuby on Rails · AWS3 min read The inflection pointHealth data that needed to predict, not just store The customer is a healthcare wellness provider offering predictive analytics to prevent and manage chronic diseases in the early stages — analyzing users’ uploaded diagnostic reports to predict risk of chronic disease and suggesting wellness programs. Needed a comprehensive solution enabling predictive health management Required seamless integration with different service providers and diagnostic labs Demanded a scalable and flexible solution across multiple healthcare systems Health data required strict security and compliance handling Turn diagnostic reports into early, actionable prediction. The interventionA configurable, plugin-based platform Adroitent developed a highly configurable healthcare platform on Ruby on Rails, architected for scalability, easy customization and deep integration across the healthcare ecosystem. Plugin-based architecture A highly configurable platform built on a plugin-based architecture Ensures scalability and allows easy customization per organization’s requirements Multi-provider integrations Connects users to a wide range of labs, diagnostics centers and healthcare providers Flexibility for users to choose the services that best meet their needs User-friendly interface Clear, color-coded test results with graphical history Clickable timelines so users can track health trends over time Secure cloud architecture Hosted on AWS private cloud with ISO 27001 information security standards High availability with multi-AZ disaster recovery; DMZ, VPC and intrusion prevention The game changer AI-driven predictive health projections Advanced AI algorithms analyze health data with digitization Organizations can measure employee health status and identify patterns or trends Patients view their health trends projected graphically and clearly Predictive data identifies areas for targeted healthcare initiatives Ruby on RailsPythonReact.jsPostgresAWSHeroku By the numbers Targeted healthcare initiatives Proactive health management Holistic organizational view Clear health projections By the numbers Targeted healthcare initiatives Proactive health management Holistic organizational view Clear health projections The payoffProactive, preventive, personal Helps implement targeted healthcare initiatives An organization’s predictive data can be used to identify areas for improvement and implement targeted healthcare initiatives for employees, offering a holistic view of organizational well-being. Enables proactive management The platform uses advanced AI algorithms with digitization to analyze health data, enabling organizations to measure employee health status and identify patterns or trends for proactive management. Generates health projections for patients Patients can view and understand trends in their health patterns, with values projected graphically and easily understood. Scalable and secure by design A plugin-based architecture on AWS private cloud with ISO 27001 standards, multi-AZ disaster recovery and intrusion prevention ensured scale without compromising security. The stack behind itTools & technology Ruby on RailsPythonReact.jsjQueryAndroid / iOSPostgresAWSElasticacheNGINXHeroku This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is Ruby on Rails best suited for? Ruby on Rails is a mature web framework favoured for rapid development of database-backed applications. Its conventions, mature ecosystem and productivity make it well suited to platforms, marketplaces and data-driven products that need to evolve quickly. What is a plugin-based architecture? A plugin-based architecture builds a core system that can be extended through self-contained modules. New capabilities or client-specific customizations are added as plugins, so the platform scales and adapts without rewriting or destabilizing the core. What is predictive analytics in healthcare? Predictive analytics applies statistical models and machine learning to health data — such as diagnostic reports and history — to estimate future risk, like the likelihood of developing a chronic condition, so that preventive action can be taken earlier. How is health data secured in cloud applications? Through layered controls: private cloud hosting, encryption in transit and at rest, network isolation using DMZ and VPC, intrusion prevention, access controls, and adherence to standards such as ISO 27001 — plus high availability and disaster recovery. Why integrate a health platform with labs and diagnostic centers? Direct integration lets results flow into the platform automatically, giving users a complete longitudinal record without manual entry. It improves data accuracy and timeliness, and gives users the flexibility to choose the providers that suit them. Build platforms that predict, not just report. Scalable product engineering for data-driven healthcare. 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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Empowered leading USA Employment Services Provider with Scalable BI Analytics Solution

Business Intelligence, Empowering Monster’s Employment Services with Scalable BI Analytics Solution / admin

About the Customer The customer is a globally renowned American provider of employment services by connecting people and jobs. They aim to make every workplace happier and more productive by transforming how employers and candidates find the right fit. For over 30 years, they have been working to transform the recruiting industry. Today, the company leverages advanced technology using intelligent digital, social, and mobile solutions, innovative apps, and various products and services. Business Challenge The customers’ existing data infrastructure required transformation to support its growing analytics demands and streamline the report delivery across teams. They faced several challenges in modernizing its BI ecosystem which includes: Fragmented data sources: Data was distributed across multiple Oracle databases, creating inefficiencies in analytics processes. Complex reporting requirements: The existing system supported over 190 reports and dashboards, necessitating a streamlined approach for future scalability. Lack of centralized architecture: They needed a consolidated data lake to serve as a robust, scalable foundation for Tableau-based analytics. Solution Overview Adroitent partnered with customer to provide end-to-end consulting and implementation services for: Solution architecture: Designed a scalable and cost-effective data and analytics architecture, integrating a centralized data lake. ETL and data transformation: Consolidated data from multiple Oracle databases into a unified data store optimized for analytics. Visualization delivery: Created Tableau-based reports and dashboards aligned with the customers’ evolving business needs. Project Activities included: Solution Architecture: Teams consulted on data store and analytics architecture for scalability and cost-efficiency. Adroitent delivered thought leadership and technical guidance to ensure best practices in architecture and development. ETL and data consolidation: Designed and implemented data extraction and transformation workflows from the customer’s online storage to a centralized “data lake.” Also, streamlined data processes to enhance accessibility and reliability for analytics. Tableau visualization development: Collaborated with the customer to define reporting and visualization requirements to enable the best outcomes. Designed and delivered Tableau dashboards and reports as per agreed schedules and priorities. Agile delivery model: Maintained a Sprint-based delivery plan and conducted weekly progress reviews and Sprint-specific calls to track deliverables and address escalations. Technology Stack Leveraged: MySQL, RDS, ETL, Apache Spark, Amazon EMR. Business Outcome Scalable architecture: Established a centralized, scalable data lake to serve as the foundation for the customer’s BI ecosystem. Enhanced analytics: Delivered efficient data transformation processes, improving analytics readiness and performance. Optimized reporting: Developed intuitive, Tableau-based dashboards and reports tailored to business needs to enable informed decision-making. Streamlined collaboration: Fostered a collaborative environment with clear workflows, improving project efficiency and delivery timelines. Enabled competitive advantage: With informed strategies delivered with BI insights, helped the customer gain a better market position. Adroitent’s innovative approach empowered the customer to modernize its BI infrastructure, addressing both immediate challenges and laying the groundwork for sustained success in analytics. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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

React.js, Software Engineering / admin

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

.Net, Software Engineering / admin

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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Empowered a Professional Services Provider With Clinical Decision Support System

PHP, Software Engineering / admin

Clinical Decision Support Platform with PHP & Drupal | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Decisions at the bedside: clinical support, instantly How Adroitent built a clinical decision support application for a global professional information provider — putting two decades of trusted family-medicine content into physicians’ hands at the point of care. Adroitent Case FileHealthcarePHP · Drupal · Angular JS3 min read . The inflection pointKnowledge that couldn’t reach the bedside The customer is a global provider of professional information, software and services across healthcare, tax and accounting, governance, risk and compliance, legal, regulatory and ESG — serving customers in over 180 countries. With 20+ years of best-selling clinical content in family medicine, they needed to make it usable in the moment of care. An integrated solution was needed to guide primary care professionals and clinical students in daily decision-making Quick access to essential information was required at the point of care Content had to work consistently across devices used in clinical settings The experience needed to ease patient care rather than add administrative burden Clinical knowledge only helps if it’s there when you decide. The interventionA point-of-care decision support app Adroitent designed and developed an integrated clinical decision support application, purpose-built for primary care professionals and clinical students. Application design & development Front end built with PHP, Drupal, HTML5, CSS and Angular JS/Bootstrap Architecture tuned for fast access to clinical content Custom module development Extensions and custom modules adding features tailored to clinical physicians Functionality shaped around real clinical workflows Theming & responsive design Drupal theming and responsive design for a consistent experience across devices Accessibility and usability optimized for clinical settings Quality assurance Functional, regression and performance testing Verified and validated the reliability and performance of the solution The game changer Clinical content, one tap from the decision Quick access to clinical content and decision-support tools at the point of care Physicians and clinical students make informed decisions in the moment NGINX web server with MySQL managing clinical content and user data Drupal CMS powering theming and responsive delivery PHPDrupalAngular JSNGINXMySQL By the numbers 100% point-of-care support 95% better patient outcomes Optimal user experience Improved clinician performance By the numbers 100% point-of-care support 95% better patient outcomes Optimal user experience Improved clinician performance The payoffBetter decisions, better outcomes Enhanced point-of-care support for physicians The app provided quick access to clinical content and decision-support tools, enabling healthcare professionals, physicians and clinical students to make informed decisions at the point of care — easing patient care. Improved patient outcomes Clinician workflow efficiency improved significantly with a quick decision support system, improving patient care outcomes by 95%. Delivered optimal user experience Drupal theming and responsive design ensured an optimal experience across devices, enhancing accessibility and usability. Improved performance of clinicians With effective features and easy access to clinical decision-making at the point of care, the performance of physicians and clinical students improved. The stack behind itTools & technology PHPDrupal CMSHTML5 / CSSAngular JSBootstrapNGINXMySQL This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is a clinical decision support system (CDSS)? A clinical decision support system gives clinicians relevant medical knowledge and patient-specific guidance at the moment of care. It surfaces evidence, guidelines and alerts within the workflow so decisions are faster, more consistent and better informed. How does decision support improve patient outcomes? By putting trusted, current clinical evidence within reach during the consultation, decision support reduces reliance on recall, helps avoid errors and omissions, and speeds up diagnosis and treatment choices — improving both efficiency and quality of care. Why is Drupal used for content-heavy applications? Drupal is an enterprise open-source CMS strong at managing large, structured content libraries with fine-grained access control. Its module system and theming layer let teams build custom, responsive applications on top of a robust content backbone. What is point-of-care access, and why does it matter? Point-of-care access means clinicians can retrieve information right where and when they treat a patient — on the ward, in clinic, on any device. Speed matters: information that arrives after the decision has limited clinical value. What makes a healthcare application usable for clinicians? Speed, clarity and fit with the clinical workflow. Fast search, concise answers, responsive design across devices, and interfaces that reduce clicks rather than adding administrative burden are what drive real adoption among busy clinicians. Put knowledge where decisions happen. Healthcare applications engineered for the point of care. 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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Delivered Pet Telehealth Platform to technology services provider in the US using Node.js

Node.js, Software Engineering / admin

Software Engineering services helped a leading technology services provider to veterinary sector develop a Pet Telehealth Platform Key Business Outcomes 95% Improvement in Pet Primary Care Revolutionized Pet Care with Easy Access to Vets through a Pet Telehealth Platform About the Customer The customer is a leading technology services provider to veterinary sector located in San Diego, United States. The customer serves the needs of veterinary caregivers with the latest technological advances and with innovative systems to deliver services to diagnose, prevent, and treat the majority of pet pathologies, improving the quality of life for pets and pet parents. Business Challenge For pet owners bringing a pet to the veterinarian’s clinic continues to be a challenge with limited mobility, restricted transportation, or commitments that make outside errands and other activities difficult. The customer with an aim to improve the pets and pet parents’ lives, needed a telehealth platform (Android and iOS) to seamlessly connect pet parents with veterinary professionals to improve pet patient health outcomes and ease pet parent’s lives. The customer needed a comprehensive Telehealth solution that not only facilitated remote interactions and chats but also integrated various functionalities to manage appointments, payments, and medical records of pets efficiently. The goal of the platform was to deliver better pet care outcomes and improve the quality of life for pet parents. Solution Delivered After a deep analysis of the customer requirements, Adroitent team was involved in developing a Telehealth platform. By using this Telehealth platform (Android and iOS), vet care becomes easy and convenient for pet parents while not sacrificing the quality of pet care provided. Anipanion is an easy-to-use virtual visit Telehealth platform that allows vets to connect with pet patients conveniently with an anywhere, everywhere approach. This veterinary telehealth platform seamlessly connects pet parents and veterinary professionals through chats and video calls. Project Activities Vision to production deployment: Teams were involved from the visioning of the product, initial requirements gathering and transitioning concept to a fully functional release of the telemedicine platform Architecture, design, and development: Crafted a scalable and secure architecture. Database design, architecture, and implementation: Database teams were involved in establishing a robust database system to handle complex data securely. Comprehensive data integration: Seamless integration of existing pet data in the veterinary clinics with the new system was done Quality assurance: Total quality assurance was implemented with an end-to-end work flow that included data validation and verification to ensure the solution reliability. Build, release, and deployment: DevOps CI/CD pipelines implemented to build and release iterative cycles for timely deployment of the solution. Key performance metrics: Real-time analytics for pet parents and veterinarians were provided to monitor and improve pet care. Support and maintenance of project: Post implementation, Adroitent team provided technical enhancement and support to ensure optimal performance. Agile Methodology: Scrum model was followed in implementing the solution, with two weeks sprint and a working model release every month. Technology Stack Angular 5.0, Node JS, Express JS, WEBRTC, Google Analytics and Java. Mongo database, web services used were REST API, and mobile platforms were Android and iOS. AWS cloud and Git repository were also used in developing and deploying the platform. Key Features Developed Remote access: Pet parents were able to access the app to consult vet specialists remotely. Remote monitoring: Vets were able to see the pet’s health through video conferencing, and prescribe the treatment. Appointment scheduling: Scheduling, rebooking and cancellation of appointments by pet parents through access to the vet’s availability grid. Payment gateway integration: App was integrated with unified payment gateways. Pet parents were able to pay pets’ medical expenses with their credit cards. Secure communication: Access provided to vet healthcare providers through the platform with a secure communication mode. Pet patient records: Vet healthcare providers were able to store, update, and exchange pet patient’s medical data easily and quickly. E-prescription system: Information about previous prescriptions, insurance providers, and pharmacy information could be easily accessed both by vets and pet parents. Business Outcome Revolutionized pet care: The Telehealth platform revolutionized pet healthcare with virtual access and improved care for the pets. Increased accessibility to pet primary care: Accessibility to pet primary services increased by 95% leading to better health outcomes for pets and higher satisfaction rates for pet parents. Removed waiting times: Waiting times at the hospitals for the pet parents was removed as they were able to access vets from the comfort of their homes. Streamlined prescription process: Easy access to prescription history, insurance, and pharmacy information of pets and their health records was readily available. Eased payment methods: Online payment options helped both the pet parents and vets as online transactions are faster, improving cash flow, and reducing the time businesses have to wait for funds. Connect with us

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Helped a leading Partner in the USA with a Robust Streaming Platform Using Angular

Angular, Software Engineering / admin

Virtual TV Streaming Platform Built with Angular | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering One platform, every screen: Virtual TV streaming How Adroitent built a Virtual TV (VTV) platform for a New York streaming leader — a JavaScript framework delivering seamless playback, casting and monetization across smart TVs and connected devices. Adroitent Case FileMedia & StreamingAngular · AWS · DRM3 min read The inflection pointEvery device, a different problem The customer is a leading partner in streaming profitability, unifying apps in homes across all streaming devices into a single, seamless user experience that increases audience acquisition, engagement and monetization. Headquartered in New York, they needed a virtual TV platform that worked everywhere. Seamless streaming was needed across a wide range of smart TVs and devices Playback had to work consistently from legacy TV models to the latest hardware Casting from mobile apps and auto-installation on devices had to be handled reliably Customers without their own app needed a fast route to market Streaming works only when it works on every screen. The interventionThe Virtual TV (VTV) framework Adroitent developed the Virtual TV platform — a JavaScript framework providing seamless streaming across smart TVs (LG webOS, Samsung, Vizio) and devices (Chromecast, Roku, FireTV, Xbox), handling casting, auto-installation and all playback commands. Framework development Core VTV platform framework built with ES6 and core JavaScript for robustness and future scale Conviva and Adobe analytics integrated; file and folder structure restructured SDK integration An SDK that integrates easily with existing TV and device apps Reduces development time and simplifies the transition for customers Lite App A Lite App for customers without their own app, operational in a day New applications created seamlessly for any new customer QA, deployment & support Extensive testing across device and TV models for compatibility and performance Managed deployment plus ongoing support to keep operations smooth The game changer Playback, protection and monetization in one framework Streaming formats including HLS and DASH for versatile content delivery DRM support securing content and preventing unauthorized access Client-side and server-side ad insertion for flexible monetization Closed-caption support for accessibility across device types Angular 7ES6AWS LambdaDynamoDBCloudFrontKinesis By the numbers Enhanced streaming capability 100% higher engagement Flexible monetization Faster time to market By the numbers Enhanced streaming capability 100% higher engagement Flexible monetization Faster time to market The payoffSeamless, secure, monetized Enhanced streaming capability Provided a robust, versatile streaming platform compatible with multiple devices and TV models. Improved user experience Delivered a seamless, high-quality streaming experience, enhancing user satisfaction and engagement by 100%. Improved monetization options Supported various ad-insertion methods, giving the customer flexible options to maximize revenue. Secure content delivery Ensured content protection through DRM, safeguarding intellectual property and maintaining compliance with industry standards. Reduced time to market The Lite App option enabled quick deployment of streaming apps, reducing time to market for the customer’s own clients. The stack behind itTools & technology Angular 7Core JavaScript / ES6HTML5 / CSSAWS LambdaAWS DynamoDBAWS RDSAWS CognitoAWS CloudFrontAWS KinesisConvivaAdobe Analytics This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is an OTT streaming platform? An OTT (over-the-top) platform delivers video directly over the internet rather than through cable or satellite. It handles content delivery, playback across devices, user authentication, analytics and monetization such as subscriptions or advertising. What are HLS and DASH? HLS and DASH are adaptive bitrate streaming protocols. They break video into small segments at multiple quality levels so the player can switch quality as bandwidth changes — keeping playback smooth instead of buffering. What is DRM in video streaming? DRM (Digital Rights Management) encrypts video content and controls who can play it. It protects intellectual property from unauthorized copying or access and is typically required by content owners and industry compliance standards. What is the difference between client-side and server-side ad insertion? Client-side ad insertion has the player request and stitch ads at playback time. Server-side ad insertion stitches ads into the video stream before delivery, which is harder to block and generally gives a smoother viewing experience. Why build a shared SDK for smart TV apps? Every TV platform and device — Roku, FireTV, webOS, Samsung, Vizio — has its own quirks. A shared SDK abstracts those differences, so one integration works across devices, cutting development time and keeping behaviour consistent everywhere. Stream everywhere, seamlessly. Platform engineering for media, devices and monetization at scale. 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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