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Adroitent : The Preferred GCC Partner for Multinational Corporations

Table of Contents Introduction Adroitent as a GCC-focused Organization Exclusive AgileSourcing Solution Framework for GCCs – Ideated by Adroitent Leadership AgileSourcing Engagement Model AgileSourcing Solution Enablers Adroitent Comprehensive Service Offerings Why choose Adroitent as your preferred GCC partner Conclusion Introduction The relationship between IT services providers and Global Capability Centers (GCCs) of MNCs has evolved beyond traditional outsourcing into a strategic partnership model. Today, GCCs are strategic hubs that drive innovation and deliver operational excellence, accelerating enterprises’ digital transformation. Today’s enterprises and MNCs need a trusted and experienced GCC partner to seamlessly establish, manage, and scale a GCC and, at the same time, should align with their business objectives. Adroitent as a GCC-focused Organization Adroitent is a leading GCC-focused organization that enables MNCs and enterprises to accelerate digital transformation, optimize costs with a global talent pool and established centers of excellence (CoEs) for latest technologies. Adroitent exclusive AgileSourcing solution framework and customer-centric GCC solutions enable enterprises to expand their global operations with enhanced operational efficiency while fostering innovation with digital technology enablement.  With our deep expertise in establishing and empowering enterprises to leap frog beyond the early stages and ensure value creation from the initial phases. Our digital-first approach, AI-driven solutions and innovation CoE across technologies, we enable organizations to make their GCC a strategic innovation power house. With flexible models, global talent pool, and proven AgileSourcing solution framework execution, we ensure that you stay ahead of the curve.  Adroitent’s expertise spans latest technologies including AI, ML, RPA, etc., shared services enablement, business processes optimization, effective risk management, and AI-enabled talent augmentation, thus helping enterprises foster innovation, operational efficiency, and cross-cultural collaboration within their GCCs. We ensure that your GCC is not just an extension of your business but a center of excellence (CoE) for technology and talent empowering your business transformation.  By partnering with a GCC-focused company like Adroitent, MNCs can quickly establish new GCCs and also manage their existing GCCs while leveraging specialized global talent pool, cutting-edge technologies, and market insights with underlying thought leadership. Adroitent acts as a business growth accelerator and as an innovation center of excellence (CoE) hub for MNCs and delivers many benefits.   According to McKinsey’s latest podcast, Global Capability Centers (GCCs) are rapidly evolving beyond their traditional roles as execution centers, becoming increasingly important as enterprise innovation hubs. This shift is underpinned by the ability of GCCs to attract high-caliber talent, foster visionary leadership, and create a culture of innovation. Leaders are steering GCCs to align global strategies with localized agility, ensuring operational excellence and a unified organizational vision. As strategic hubs, GCCs are playing a pivotal role in enabling enterprises to scale, innovate, and achieve global goals.   Exclusive AgileSourcing Solution Framework for GCC-Ideated by Adroitent Leadership AgileSourcing Solution Framework consists of AgileSoucing Engagement Model and AgileSourcing Solution Enablers.  Adroitent delivers a full suite of GCC solutions built on a robust AgileSourcing solution framework with customer-focused engagement models and technology enablers.   AgileSourcing Engagement Model Our customer-centric engagement model ensures dedicated and professionally managed GCC teams with four key engagement methods: Managed Resourcing: On-demand access to highly skilled IT professionals. Project Outsourcing: End-to-end delivery of IT and business projects. Shared Services: Optimized, scalable solutions for operational support. Competence-driven Technology/Practice Center: Dedicated CoEs for AI, Cloud, and SaaS. AgileSourcing Solution Enablers To enhance the efficiency and security of GCCs, Adroitent provides: Quality Management System: SEI CMMI Level 3, and ISO 9001 certifications. Information Security: Compliance with ISO 27001. Talent Management: AI-enabled Talent Management Platform (AATMa) and Absence Management Solution (AAPTA). Performance Dashboards: Real-time tracking for productivity and KPIs. DevAlley: AI-assisted SDLC support for developers. Associate Management Platform: Powered by SuccessFactors HCM for talent engagement. Adroitent Comprehensive Service Offerings Our end-to-end GCC solutions empower MNCs to drive innovation, reduce costs, and enhance operational efficiency across diverse business functions. Advanced Technology Solutions Software Product Engineering AI Solutions SaaS & ERP Implementations Digital Transformation and Cloud Solutions Business Intelligence Infrastructure & Management Solutions GCC Solutions Software Product Engineering Product Engineering Product Re-engineering DevOps CI/CD Software Quality Engineering Integration Services Support & Sustenance AI Solutions AI-Preparedness Center of Excellence (CoE) – Dataworks LLM Model Training & Fine-Tuning AI AgentWorks AssureWorks SaaS & ERP Implementations CMS- Sitecore & Kentico ERP- SAP, Oracle, Microsoft RPA UiPath ServiceNow Cloud Solutions Site Reliability Engineering Cloud Architecture & Transformation Cloud Optimization & Migration Services Cybersecurity Cloud Integration Services Business Intelligence & Automation AI-powered Business Intelligence Solutions Intelligent Automation Independent Quality Engineering Infrastructure & Management Solutions Infrastructure & Managed Services GCC Setup & Management AI-based Talent Management Vendor Management Solutions GCC Establishment & Management Network & Infrastructure Setup Talent Sourcing & Augmentation Shared Services Compliance & Cybersecurity Build-Operate-Transfer (BOT) Model Why choose Adroitent as your preferred GCC partner? Proven thought leadership: Deep expertise in establishing and managing GCCs for Fortune 500 companies. Global accreditations: SEI CMMI Level 3, ISO 9001, and ISO 27001-certified processes for quality and security. Exclusive AgileSourcing solution framework for GCC: A unique framework designed for GCC optimization. Accelerated Time-to-Market: Agile & DevOps-driven software development & product delivery, and Centers of Excellence (CoEs): Dedicated AI, Cloud, and SaaS innovation hubs. Innovation & digital transformation: Our solutions around AI, GenAI, Cloud, SaaS & ERP, and BI empowers enterprises’ business transformations AI-driven operational efficiency: Our GCC-exclusive AI automation of business functions using AI agents leveraging LLMs enables seamless workflows, improving enterprises’ operational efficiency. Cybersecurity & risk mitigation: We ensure compliance with effective threat detection and response services. Business continuity & scalability: Our 24/7 operational support, multi-location delivery models, and cloud-based disaster recovery management empower enterprises’ global growth. Cost-effectiveness: We provide a customer-centric approach that ensures cost-effectiveness. Conclusion MNCs looking to establish, manage, and scale their GCCs require a trusted partner with deep domain expertise, AI-powered digital capabilities, and global delivery models. Adroitent stands as a preferred GCC partner, offering tailored GCC solutions that drive business agility, innovation, and operational efficiency. Our AgileSourcing solution framework ensures seamless integration with MNCs and enterprises’ ecosystems, making us the ideal choice for empowering them with scalable and future-ready GCC

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ERP Implementation for a Railroad Company Enhanced Data Accuracy and Improved Operational Efficiency

ERP Implementation for a Leading Short Line Railroad Company in the US Enhanced Data Accuracy, Improved Operational Efficiency, and Delivered Significant Cost Savings. About the Customer  The customer is a prominent American short line railroad holding company that owns and maintains an interest in many railroads. They operate across North America and owns or leases over 100 freight railroads, employing 4,000+ employees and serving 2,000+ customers over a vast network of 13,000 track miles.  Key Business Outcomes Enhanced freight safety & audit tracking Improved data accuracy & operational efficiency Delivered significant cost savings Customer Business Challenge  The customer’s freight operations were hindered by their legacy systems and outdated processes that lacked real-time data visibility and operational efficiency. Some of their key challenges were:  Lack of data synchronization of freight information across regions Absence of derail data management and audit tracking mechanisms Inefficient implementation of the derail information systems Improper monitoring and verification of engine checks and maintenance Frequent incidents of missing data entry by mechanics, leading to derailments involving costly repairs Inefficient automation of inventory management system and safety audit systems Ineffective defect management system resulting in operational risks and increased costs    Solution Delivered by Adroitent  Adroitent partnered with the customer to modernize their freight operations by implementing an end-to-end ERP solution integrated with Microsoft Dynamics 365 (MD365), Power Apps, and Power Automate.    Main components of the solution:  ERP implementation: A robust ERP framework was designed and implemented specifically for freight data management, derail application completion, and audit tracking.  Created workflows with Power Apps & Power Automate: Automated workflows were created to conduct daily route and region-wise safety audits to ensure various derailment incidents were minimized.   Defect & Repair Tracking: A defect management solution was enabled via Power Apps, ensuring real-time visibility of engine checks, missed updates, and defects leading to faster repairs and ensured cost savings.  An Overview of the Project Activities 1. End-to-End ERP implementation using Microsoft Dynamics 365 (MD365): Adroitent’s team undertook a full-cycle ERP implementation, starting from business process analysis to system deployment. Requirement gathering and gap analysis. Customization of modules to meet the unique operational needs of freight and railroad management. Configuration of business workflows in alignment with the customer’s processes ensuring data security, compliance, and operational  2. Feature-wise testing and validation of business workflows: A structured testing strategy was adopted by the Quality assurance team to ensure robust functionality. Conducted detailed feature-wise testing of ERP modules. Validated key business workflows like freight management, derail data capture management, and engine maintenance tracking. Conducted integration testing to ensure smooth interoperability with other business systems. Performed regression testing and user acceptance testing (UAT) prior to production rollout. 3. Comprehensive data integration across regions: Teams handled the data silos across the customer’s multiple regions. Data migration and cleansing from legacy systems. Synchronized real-time data of freight information across different operational regions. Standardized data formats to improve data accuracy and visibility and ensured smooth data flow between the ERP system and external applications. 4. Power automate implementation for freight safety audits: To ensure daily freight safety checks and compliance, Adroitent leveraged Power Automate. Designed and deployed automated workflows using Microsoft Power Automate. Enabled automatic audit tracking for daily freight inspections and derail safety checks. Integrated audit data with the ERP system for real-time visibility and correction 5. Derail information system implementation & integration: The team successfully developed and implemented a derail data management system within the ERP framework. Enabled real-time tracking and logging of derail events. Integrated the derail information system with freight operations, audit workflows, and maintenance logs. Provided data-driven insights to reduce derail risks and improve freight safety. 6. Post-implementation support and optimization: The Adroitent team was involved with the post-implementation support and optimization to ensure the sustainability and continuous improvement of the solution. Enabled support during the initial go-live phase. Performed system monitoring, incident resolution, and performance tuning. Conducted periodic assessments and recommendations for functional and technical enhancements. Ensured knowledge transfer and conducted user training sessions. 7. Agile implementation approach: The project followed the Agile delivery model to ensure flexibility and faster delivery. Implemented two-week sprint cycles to drive continuous progress. Enabled monthly working model releases with incremental delivery of features. Conducted regular stakeholder reviews and feedback loops that ensured alignment with customer expectations. Adopted scrum methodology to promote cross-functional collaboration and faster issue resolution. Technology Stack Leveraged The technology stack included Microsoft Dynamics 365 ERP, Power Apps, Power Automate, Azure, Jira, Azure DevOps, and Visual Studio. Microsoft Dynamics 365 ERP – Core ERP platform for operational workflows Power Apps & Power Automate – Cloud flow Process automation Azure Cloud Platform – Infrastructure hosting, scalability, and security Jira – Agile project management and sprint tracking Azure DevOps Visual Studio – Development environment along with Source control, DevOps CI/CD pipelines, and release management Business Outcomes Uniform sync of freight data across regions: The ERP solution enabled uniform synchronization of freight data for the customer across different regions, reducing communication gaps and operational delays enabling significant cost savings. Enhanced freight safety & audit tracking: Daily audits and digital tracking of derail information helped the customer to proactively manage risks and avoid derailment incidents. Improved data accuracy & operational efficiency: Mechanics were empowered to log missed data in real-time, reducing operational mishaps and minimizing repair costs. Delivered significant cost savings: With real-time defect tracking and audit implementation, the customer successfully avoided unnecessary repairs and costs associated with misinformation and operational risks, thus saving significant costs.

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Kentico CMS Implementation

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

Table of Contents What is a Content Management System (CMS)? What is the Importance of Kentico CMS for Digital Enterprises? Digital Experience benefits with Kentico CMS include What are the latest versions of Kentico for Businesses to Know? What are the 6 Phases involved in Kentico CMS Implementation? What are the Best Practices for Kentico Implementation? 3 Critical Kentico CMS implementation challengesWhy choose Adroitent for your Kentico CMS Implementation? Adroitent’s Content Management Services –Kentico CMS What 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. CMS 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. What 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. The other features include: 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. 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 include 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. What 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 get the complete benefits of digital experience across all content channels. After having known about the various features and benefits of Kentico CMS, let us have a look at its implementation steps. What are the 6 Phases involved in Kentico CMS Implementation? The Kentico implementation for a digital enterprise follows a structured six-phase approach to ensure smooth deployment, scalability, and business alignment. Discovery and Planning Phase Conduct in-depth business analysis to define the information architecture tailored to organizational needs. Prepare Kentico content architecture – Audience Awareness (content managers) Perform rendering and component architecture

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Unleashing the Top Seven Trends in Recruitment for 2025

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

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

Adroitent Product Engineering services helped a healthcare wellness provider with an integrated platform focusing on predictive analytics to help prevent and manage chronic diseases in the early stages. Key Business Outcomes Accurate prediction of chronic diseases in early stages Integrates with multiple healthcare providers and centers Helps to quantify organizational health About the Customer eKincare is a startup in the Indian healthcare environment – wellness focusing on providing predictive analytics to prevent and manage chronic diseases in the early stages. They provide effective predictive analytics for users when they upload their diagnostic reports. The information would be further analyzed to predict the user’s risk of getting chronic disease or chances of getting any other complications in the near future.  Also wellness programs are suggested to improve and maintain the users overall health. Customer Challenge The customer needed a comprehensive solution that not only allowed predictive health management but also integrated seamlessly with different service providers and diagnostic labs. The customer needed scalable and flexible solution with seamless integrations to multiple healthcare systems. Further, the solution was also needed to quantify organizational health and digitization to benefit employees,  and healthcare professionals. Solution Delivered The customer partnered with Adroitent to build a state-of-the-art integrated healthcare wellness solution that allows users to enter their vital signs and diagnostic reports data and provides related analytics. The platform is integrated with various labs and diagnostic centers, enabling users to conveniently book tests and appointments. The patients get to view and understand the trends in their health patterns as the values are projected in a graphical way and can be easily understood by users. They could also avail the recommended wellness programs from the relevant service providers. The platform can be used by individuals or by organizations who can make it available to their employees for better health management. Solution Highlights Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture to handle large volumes of health data while ensuring faster processing and effective analytics. Designed intuitive workflows: Enabled intuitive workflows within the system to ensure users with effective health monitoring and predictive analytics predictions. Mobile enabled: Delivered user-friendly mobile applications for both Android and iOS platforms, ensuring users can access healthcare services on the go. Design, architecture and development: Teams were involved in designing and development of the actual architecture for the healthcare portal. End-to-end testing: Conducted extensive testing to ensure optimal performance, security, and reliability of the solution across all workflows. Technology stack leveraged The technology stack used was Ruby on Rails, Python, React.js, JQuery, Android, iOS, Postgres, AWS, Elasticache, NGINX, and Heroku Cloud. The deployment architecture consisted of hosting on AWS private cloud, ISO 27001cettified information security standards, high availability with multi AZ-disaster recovery, and highly secure architecture with DMZ and VPC with intrusion prevention system. Features Developed Plugin-based architecture: Developed a highly configurable healthcare platform using a plugin-based architecture, which ensures scalability and allows easy customization based on the organization’s requirements. Integrations with multiple service providers: The platform connects users to a wide range of labs, diagnostics centers, and other healthcare providers, giving them the flexibility to choose services that best meet the user needs. User-friendly interface: The solution’s user-friendly interface provides clear, color-coded test results, graphical history, and clickable timelines to the users. Integration with EMR systems: The solution ensures healthcare providers can quickly view, manage, and analyze patient data in real-time with its seamless integration with EMR systems. Business Outcome Helps to implement targeted healthcare initiatives: The predictive data of an organization can be used to identify areas for improvement and implement targeted healthcare initiatives of its employees. The platform allows organizations to improve the health of their 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 their employees’ health status and identify patterns or trends for proactive management. Generates health projections for patients: The patients get to view and understand the trends in their health pattern as the values are projected in a graphical way and easily understood. Connect with us

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Empowered leading USA Employment Services Provider with Scalable BI Analytics Solution

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

Adroitent Product Engineering services helped a leading Fintech lender in the US with an Effective Loan Origination and Processing Financial Solution. Key Business Outcomes 90% increase in student engagement Average loan processing time was reduced significantly Enhanced student and customer satisfaction significantly 30% reduction in operational costs About the Customer The customer is a technology-enabled fintech lender headquartered in San Francisco, California that offers tertiary education financing products, including student loan refinancing and private student loans. They offer low-interest loans based on the student’s unique financial profile, including student loan refinancing, private student loans, and personal loans assuring low interest rates. The company empowers past, present, and soon-to-be graduate students to maximize their financial futures through thoughtful guidance and impactful financial products and solutions.  Customer Challenge The customer faced several critical challenges with their legacy loan origination system which included: Cumbersome process: Manual data entry and cumbersome paperwork. Lengthy application processing: Multiple layers of verification lead to longer processing times and dissatisfied customers. Lack of digital experience: Students seeking loans encountereda cumbersome online experience that did not align with fast-paced digital expectations. Regulatory and compliance risks: The customer’s existing system had compliance and risk management issues that required compliance with changing regulatory requirements. High operational costs: Manual interventions at multiple stages of the loan process, increased the operational costs and risk. In order to overcome the above stated challenges, the customer needed a digital savvy loan origination and loan processing financial solution to deliver seamless experience to its students and others. The customer aimed to make their loan services faster, transparent, and more accessible to students and their families, while ensuring compliance with regulatory requirements and improving productivity. Solution Delivered Adroitent partnered with the customer to implement a comprehensive Student Loan Origination and Processing Financial Solution. Teams leveraged advanced financial technology, automation, and cloud integration specifically designed to streamline the entire loan lifecycle. https://adroitent.ai/wp-content/uploads/2024/11/Earnest_Fintech_Loan_Transformation_compressed.mp4 Solution Highlights Architecture and design: Adroitent’s team developed a scalable, efficient, and secure architecture. Teams were involved in the architecture design and development of an effective loan origination and processing financial solution. Database design and implementation: A robust database system was developed to handle complex data securely. Quality assurance: QA team conducted testing to ensure optimal performance, security, and reliability of the solution across all workflows. Build, release, and deploy: Implemented DevOps CI/CD pipelines to build and release iterative cycles for timely deployment. Technology stack leveraged The technology stack included Node.js, REACT.js, Cypress automation tool, Jira, Confluence, AWS infrastructure, RDS, and New Relic. Features developed Loan processing automation: Created workflows to automate the entire loan origination process from application to underwriting. This eliminated manual steps, reducing the time from application to approval, and improved the loan processing for students. Document automation: Dynamically generated loan documents based on applicant information and product terms by automating document signing with e-signatures. Workflow optimization: Enabled real-time tracking of application status and automated notifications to stakeholders. Platform digitalization: Deployed a user-friendly platform that provided students and parents with a seamless digital experience. The application was optimized for speed, allowing users to apply, check eligibility, and track application status in real-time. Regulatory compliance: The platform was made compliant with changing regulations, reducing manual oversight for risk and compliance. Self-service capabilities: The platform included a self-service portal where applicants could upload documents, check loan disbursements, and make payments, increasing customer satisfaction. Business Outcome Quickened loan processing: The average loan processing time was reduced significantly improving the operational efficiency and enhancing the customer satisfaction. Enhanced student engagement and satisfaction: The new digital platform saw a 90% increase in student engagement, with most students completing the application process entirely online. Enhanced compliance and risk management: The customer reported fewer compliance issues, reduced risk of fraud, and achieved greater accuracy in risk assessments. Increased operational efficiency: With streamlined workflows and reduced manual effort, lead to cost savings. Improved customer experience: Faster loan approvals with a seamless digital experience improved the customer satisfaction significantly. Cost savings: Automation and reduced manual processing led to a 30% reduction in operational costs, allowing the institution to reallocate resources towards growth initiatives. Connect with us

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

Adroitent’s Product Engineering services helped a global BPO leader with a Real-time Agent Tracking System. Key Business Outcomes Enhanced workforce (agents) visibility & monitoring by 100% Optimized agent performance by 100% Enhanced customer satisfaction significantly About Customer The customer is a global BPO leader in customer support, providing dedicated agents, advanced technology, and customized strategies for innovative brands.  The customer helps to scale and optimize customer experience (CX) through data-driven and brand-specific customer service solutions and has a global clientele. Customer Challenge The customer needed a real-time agent tracking system as they were enabling expansive customer support services to large innovative brands. They needed an effective real-time agent tracking system to boost efficiency, improve service quality, and maintain tighter control over their workforce (agents).  Solution Delivered Adroitent partnered with the customer to develop a real-time agent tracking system that offers many advantages for supervisors, enabling them to manage their workforce effectively. Developing this tracking system significantly improves the supervisor’s ability to manage teams efficiently and improve overall productivity by constantly tracking their activities in real-time. Various features developed help the supervisors to optimize workflows, improve service quality, and maintain high levels of customer satisfaction. https://adroitent.ai/wp-content/uploads/2024/11/INTouch_Real-Time_Agent_Tracking_Freezed_compressed.mp4 Project Highlights Requirement analysis: Adroitent’s team conducted a thorough analysis of the customers’ requirements to ensure the solution met all necessary criteria. Framework development: Developed the core VTV platform framework using ES6 and core JavaScript, ensuring robust functionality and future scalability. Integrated Conviva analytics and Adobe analytics and restructured all files and maintained proper folder structure. SDK integration: Created an SDK that could be easily integrated with existing applications, simplifying the transition for customers. Lite app development: Designed and developed a “Lite App” solution for the customer without their own apps, ensuring quick deployment. Ensured to create new application seamlessly for any new customer. Quality assurance: Performed extensive testing across various devices and TV models to ensure compatibility and performance. Custom attributes and metrics changes were tested and deployed t production server. Deployment and support: Managed the deployment process and provided ongoing support to ensure smooth operation and address any issues quickly. Solution Highlights Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture for the real time agent tracking system. Teams were involved in the design and development of the architecture of a real-time agent tracking system. Database design, architecture, and implementation: A robust database system was developed to handle complex data securely. Quality assurance: The testing was done to ensure the system was fully functional. Technology stack leveraged The technology stack included DotNet core, HTML, Javascript, Entity Framework, SignalR, Postgres, and SQL.  Features developed Live agent status monitoring: Supervisors can view which agents are available, busy, or on break in real time. The system shows agent status and activity they are currently handling; handling a call, resolving a ticket, or engaging in back-office tasks. Real-time agent tracking: Supervisors can track the number of calls an agent handles, along with call duration and outcomes, providing insights into productivity along with their shift start and end listings. Task assignment and completion: Managers can assign tasks dynamically based on the agents’ availability and track their completion in real-time. Agent performance tracking: Supervisors can track each agent’s performance metrics and trends through their shifts, allowing immediate feedback and alignments. Alerts and notifications: The system automatically notifies supervisors when agents are handling too many calls or if service levels are at risk of falling below the set thresholds. Queue monitoring: Supervisors can see the number of callers in queues and adjust resources in real-time to manage high demand. Snoozed agents status: Agents who are on break will be displayed as snoozed users and overshooting of breaks will also be notified to their respective supervisors. Service level monitoring: Supervisors can track if service levels (response times, customer wait times) are being met in real-time, allowing for immediate corrective actions. Performance metrics dashboard: Real-time dashboards show KPIs like call resolution times, customer satisfaction scores, first-call resolution rates, average handling times, etc. Analytics and reporting: Provides reports that aggregate data from agent performance, customer interactions, and call quality to make informed decisions quickly. Supervisors can generate customized reports on various performance metrics, allowing detailed analysis and planning. Business Outcome Enhanced agent visibility and monitoring: Supervisors were able to track agent activities in real-time, which enhanced the workforce visibility and monitoring by 100%. Improved workforce management: Real-time agent availability enabled better task delegation and workload management. The real-time agent tracking system optimized the workforce management leading to a better resource allocation. Agent performance optimization: Supervisors were able to identify bottlenecks or underperforming agents and provide efficient resources for better outcomes. Data-driven insights helped to optimize workflows and improve agent performance by 100%. Improved decision-making: Real-time agent data availability enabled supervisors to make quick, informed decisions, especially during peak times or high-demand situations. The system also helped to assign tasks based on the agent availability and proximity for faster response times which helped in faster decision-making. This real-time data helped to reduce delays, especially in fast-paced environments like logistics, customer service, or technical support. Increased operational efficiency: Supervisors were able to monitor agents’ location, activities, and status in real-time, which ensured tasks were assigned more efficiently and resources were optimally utilized improving the overall operational efficiency. Enhanced customer satisfaction: Faster issue resolution and improved workforce task delegation contributed to higher customer satisfaction. Real-time tracking ensured agents were assigned promptly, reducing wait times for customers enhancing customer satisfaction significantly. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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Empowered a professional services provider with Clinical Decision Support System

Software Engineering helped a leading global provider of professional information and healthcare services with a Clinical Decision Support System Key Business Outcomes Revolutionized Point-of-Care support to healthcare professionals by 100% Improved Patient Outcomes by 95% Quick Access to Information for Primary Care Physicians About the Customer Customer is a global provider of professional information, software solutions, and services for healthcare, tax and accounting, governance, risk and compliance, legal and regulatory, and Environmental, Social, and Governance (ESG) sectors.  The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs approximately 21,400 people worldwide.  Business Challenge With over 20 years of knowledge base of best-selling clinical content in the family medicine market, the customer felt a need for an integrated solution that would help as a guide for primary care professionals and clinical students in their daily clinical decision support. The customer required an application to provide integrated clinical decision support for its primary care professionals and clinical students, ensuring quick access to essential information at the point of care to ease patient care decisions and improve patient outcomes. Solution Highlights – PHP and Drupal Implementation After a thorough analysis of the customer requirements, our core PHP and Drupal teams were involved in developing a fully integrated clinical decision support application. Our teams leveraged latest tools and technologies and adopted industry’s best practices to develop the application to provide real-time guidance to physicians and clinical students, for improving patient care outcomes. Project Activities Requirements gathering: Checklists and templates were used to gather requirements keeping in mind the customer needs and objectives. Application design and development: For front-end development the technologies used were PHP, Drupal, HTML5, CSS, and Angular JS/Bootstrap. Custom module development: Various extensions and custom modules were developed to add specific features and functionalities to the application tailored to the needs of clinical physicians. Theming and responsive design: In order to deliver a consistent and user-friendly experience across devices, Drupal theming and responsive design were used. Quality assurance (QA): Various QA testing methods included functional, regression, and performance testing methods to verify and validate the reliability and performance of the solution. Technology Stack NGINX was used as the web server and MySQL served as the database backend for storing and managing clinical content and user data. Drupal CMS was used for theming and responsive design. Tools such as Selenium, nUnit, Git, SonarQube, and Jenkins were used for automated testing, version control, continuous integration, code quality, and deployment. Key Features Developed Search bar on all pages: A search bar was displayed on every page for users to easily search for an intended topic. In the search results page, the user could search for the intended topic thereby enabling quick navigation to the required topic. Share content via email: With the topic-sharing feature developed, the logged users could share the topic content available under multiple categories via email to other users having valid email IDs. Bookmarking and favorites: Users can bookmark their favorite topics and content on the application to view later with this feature. Sort content as per search need: Users will be able to sort the search content based on factors such as relevance, most recent updates, A to Z Alphabetical, and Z to A Reverse Alphabetical orders, thus making the app more interactive to the user. Browse and filter content: Users can filter the search content based on the available categories such as diseases, conditions, lab tests, PT exercises, algorithm charts, etc., and also show all content types based on the user’s need. Sort the disease based on specialty: The specialty listing feature gives the user an advantage to go through the desired specialty and also helps to sort specific diseases belonging to one specialty when the user intends to do so. Business Outcome 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 point-of-care support by 100%, easing patient care. Delivered optimal user experience: Drupal theming and responsive design ensured optimal user experience across devices, enhancing accessibility and usability. Improved performance of clinicians: With effective features in place and easy access to clinical decision making at the point-of-care, improved the performance of physicians and clinical students. Improved patient outcomes: The workflow efficiency of clinicians improved significantly with a quick decision support system and improved patient care outcomes by 95%. Connect with us [wpforms id=”2376″ title=”false” description=”false”]

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