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Seven ways AI in Recruitment will change hiring in 2025

Articles /

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 /

Adroitent’s 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 Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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Helped a healthcare wellness provider with Analytics platform using Ruby on Rails

Ruby on Rails, Software Engineering /

Adroitent’s 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 Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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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 /

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 /

Adroitent’s 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. 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Helped a global BPO leader with a Real-time Agent Tracking System using MS Dotnet

.Net, Software Engineering /

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

PHP, Software Engineering /

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

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Delivered Pet Telehealth Platform to technology services provider in the US using Node.js

Node.js, Software Engineering /

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

Delivered Pet Telehealth Platform to technology services provider in the US using Node.js Read More »

Revolutionized Recruitment Function of healthcare provider in US with DROIT Solution

AI, DROIT /

DROIT GenAI Solution helped a leading global healthcare services provider Revolutionize their Recruitment Function Key Business Outcomes Reduced Time-to-Seek by 80% Shortened Time-to-Hire by 50% Reduced Hiring Costs by 30% About the Customer Customer is a leading global healthcare services provider having a presence in the USA, Europe, the Middle East, Africa, and India. The customer has been fast expanding their healthcare services across the globe with an aim to deliver cost-effective healthcare services and improve patient outcomes.  Business Challenge Customer faced significant challenges in quickening and streamlining their recruitment functions. With a vast array of positions to fill, from clinical roles, and physician roles to administrative support staff, the company struggled with lengthy time-to-seek and time-to-hire periods. The customer had a database of resumes but lacked teams to process them and close open positions quickly. In addition, the customer had not only suffered from delayed critical hiring, but also had inflated their recruitment costs, impacting operational efficiency and delivery of its healthcare services. Solution Delivered The customer partnered with Adroitent for a solution to improve their recruitment function. Adroitent deployed its DROIT GenAI framework, a groundbreaking solution most effective across diverse industries such as Banking, Financial Services, Healthcare, etc. About DROIT GenAI Solution DROIT is an AI-powered solution combining the power of GPT, LLM, and Conversational AI, to revolutionize content accessibility for digital enterprises. DROIT solution helps to navigate the complexities of GenAI integration and generates valuable content outputs from the existing huge volumes of digital content. DROIT associates with the core element of an application, uses an LLM model to run and understand, and extracts information with natural language adopting a Retrieval Augmentation Generation (RAG). Technology Stack Azure AI Search, Azure Open AI, .Net core, and Python and Prompt Engineering. Project Activities DROIT integration with the customer database: DROIT AI solution was integrated with the customer database of profiles. . DROIT solution was extensively used on the database to reduce time-to-seek and time-to-hire significantly for the customer. DROIT acted as an enabler to pull the accurate profiles based on the job description, skill set, years of expertise and other factors. Key Features Position details: The integration built a front end to capture the position requirements to enable mapping with the profiles. Job description automation: Once a requirement was captured, precise job description was generated Profile database integration: Existing profile database was pulled into the vector database of the new system. Data cleansing and transformation was done as needed. Intelligent candidate matching: Pulled most accurate matching profiles from the vector database based on job criteria and skill sets by employing sophisticated AI algorithms. Also ranked matching profiles Fine tuning Search: Further shortlisting facility thru generative AI to shortlist   candidates based on experience, skills, education, CTC, etc., to get the best fit candidate for the requirement. Bias reduction: Promoted diversity and reduction in unconscious bias in the hiring process by ignoring of demographic information such as age, gender, and ethnicity, focusing solely on skills and qualifications. Personalized candidate engagement: Generated personalized communications such as emails and messages to potential candidates providing personalized candidate engagement. Business Outcome Improved recruitment process: Transformed the healthcare company’s recruitment process significantly by reducing the time to seek by 80%. Identified and ranked the matching profiles and helped the customer to close the open positions. Expedited hiring process: Enabled the company to expedite the hiring process, reducing the time-to-hire by 50%. Improved quality of hires: Automated job description process and intelligent candidate matching features ensured only the most relevant candidates were considered, thus enhancing the quality of hires. Reduced hiring costs: Optimized recruitment workflow for the customer which ensured a noticeable decrease in hiring costs by 30% and in quicker closure of openings. Enhanced business productivity: With the AI-driven profile ranking and context-driven matching that helped close positions quickly effectively enhanced business productivity. Connect with us

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Helped a leading partner in the USA with a robust streaming platform using Angular

Angular, Software Engineering /

Software Engineering services helped a leading partner in the USA with a robust streaming platform Key Business Outcomes A versatile streaming platform for Smart TVs and multiple devices A seamless and high-quality streaming experience delivered Enhanced user satisfaction and user engagement by 100% About Customer The customer is a leading partner in streaming profitability providing unified apps in homes across all streaming devices into a single, seamless user experience that increases audience acquisition, engagement and monetization. The customer is headquartered in New York, USA. Customer Challenge The customer needed an effective virtual TV platform having seamless streaming capabilities across a range of smart TVs and devices. Solution Delivered Adroitent developed an effective Virtual TV (VTV) platform, a JavaScript framework designed to provide seamless streaming capabilities across a range of Smart TVs (LGWebOS, Samsung, Vizio) and devices (Chromecast, Roku, FireTV, Xbox). This innovative framework handles casting from mobile apps, auto-installation of apps on Smart TVs and devices, and manages all playback commands, while emitting different playback events from the player. https://adroitent.ai/wp-content/uploads/2024/09/Angular-CS-video2.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. Key Features Developed VTV SDK integration: Integrates with existing TV and device apps, providing flexibility and reducing development time. Lite app provision: Offers a Lite App for customers who do not have their own app, enabling a quick setup that can be operational in a day. Broad device support: Supports a variety of Smart TVs and devices, from legacy models to the latest in the market. Streaming compatibility: Accommodates different streaming formats including HLS and DASH, ensuring versatile content delivery. Content protection: Supports DRM (Digital Rights Management) to secure content and prevent unauthorized access. Closed captions: Provides support for different types of closed captions to enhance user accessibility. Ad insertion: Supports both client-side and server-side ad insertion, enabling flexible monetization options. Technology Stack Leveraged Angular 7, Core Javascript, ES6, CSS, HTML 5, AWS DynamoDB, AWS RDS, AWS API gateway, AWS Lambda, AWS Cognito, Custom analytics, Conviva Neilson, Adobe, Postman, Github, AWS EC2 instances, AWS S3, AWS Cloudfront, AWS Pipeline, AWS Kinesis. Business Outcome Enhanced streaming capability: Provided customer with a robust and versatile streaming platform compatible with multiple devices and TV models. Improved user experience: Delivered a seamless and high-quality streaming experience, enhancing user satisfaction and user engagement by 100%. Improved monetization options: Supported various ad insertion methods, providing customers with flexible monetization options to maximize revenue. Secure content delivery:  Ensured content protection through DRM, safeguarding intellectual property and maintained compliance with industry standards. Reduced time to market: Enabled quick deployment of streaming apps with the Lite App option, reducing the time to market for customers. Connect with us Please enable JavaScript in your browser to complete this form.Name *Company NameEmail *Message * Submit

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