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Meet TalentMatch: The Future of Smart Hiring

Are You Tired of Sifting Through Resumes With No Right Match? Meet TalentMatch, the Future of Smart Hiring Table of Contents Introduction – Talent Landscape The Recruiter’s Struggle: Why Traditional Sourcing Methods Fall Short? What is TalentMatch? What does TalentMatch do? TalentMatch Empowering Recruiters with the Right Fit in Minutes, Not Weeks! Business Benefits with TalentMatch Conclusion Introduction In today’s hyper-competitive talent landscape, the stakes for hiring are higher than ever. Enterprises need to fill critical roles quickly with the best candidates. Yet, most recruiters continue to spend countless hours sifting through thousands of resumes, only to find a frustratingly low percentage of relevant candidate matches. If your recruitment team is exhausted from this relentless search for the right fit, embracing AI is the best approach to find the right fit faster. The Recruiter’s Struggle: Why Traditional Sourcing Methods Fall Short? Recruiters today face a wide set of challenges that slow down hiring, increase costs, and sometimes cause them to miss the right candidate. Recruiters often receive numerous resumes per role, but only a small percentage are a good match. Some of the recruiter’s struggles include: Manual screening: Recruiters spend many hours manually screening profiles, which is a time-consuming process that increases the likelihood of overlooking the right fit. Manual reviews lead to poor applicant-to-interview conversion rates. High volume with low relevance:Hundreds of resumes flood in for every job opening, but many aren’t a good fit for the role, which makes recruiters’ tasks harder. Human bias: Conventional screening by recruiters not only slows the process but can also lead to missed talent, unconscious bias, and inconsistent hiring decisions. Fake profiles: Today, fake profiles are a significant drain on recruiters, requiring higher scrutiny of such profiles, which demands more time. Feedback delays: Sometimes, due to lack of proper feedback from recruiters, can leave applicants disengaged. This leads to inconsistent candidate experience due to delayed screening and feedback loops. Traditional Applicant Tracking Systems (ATS) and sourcing methods often fall short in today’s fast-paced hiring landscape due to a lack of speed and profile match precision. These traditional systems offer only keyword-based filtering and lack context-driven matching of candidate search. That’s where TalentMatch steps in. What is TalentMatch? Powered by Adroitent’s DROIT Platform, TalentMatch is an AI agent that empowers recruiters to instantly match resumes to Job Descriptions. TalentMatch is an innovative AI agent for recruitment developed using LLMs to revolutionize the way you hire. TalentMatch is a unique job description-driven AI agent for GCC leaders, HR Directors, HR Leaders, Recruiters, Talent specialists, etc. This AI agent improves recruiters’ productivity with faster closures and high quality hires. What does TalentMatch do? Adroitent’s TalentMatch is engineered to empower your recruiters by leveraging AI algorithms. This agent profoundly understands the job description to get the right fit. It is a smart recruitment agent that understands what makes a candidate truly right for a role. Analyzes job descriptions, identifies and matches profiles to job roles Shortlists top candidates in minutes Speeds up screening with intelligent scoring Generates a candidate summary for their role fitment Enables data-driven hiring decisions within minutes, not days Enhances recruiter productivity TalentMatch Empowering Recruiters with the Right Fit in Minutes, Not Weeks! 1. AI-Powered Resume Screening Advanced algorithms: TalentMatch AI agent uses advanced algorithms to analyze resumes, extracting detailed skills, experiences, and role fit instantly.  Its unique algorithms match candidates with job descriptions contextually and not just keywords. Evaluates Job Description: This AI agent evaluates job descriptions, understands the role requirements, evaluates candidates contextually, and delivers closely-ranked profiles with a greater than 80% matching score. This agent identifies critical requirements and interprets business context to shortlist candidates. Analyzes resumes: TalentMatch analyzes hundreds of resumes in minutes, extracting and ranking the most relevant candidates. Instant shortlisting: Identifies top candidates instantly, so your recruiters focus only on the best matches, enabling effective candidate interactions. Hiring teams receive instant shortlisted candidates along with their matching skill set scores. Continuous learning: Each hire improves TalentMatch’s accuracy through a continuous learning loop, refining future recommendations as the agent continues to learn from data. 2.Reduces bias Objective analysis: This AI agent removes personal bias by relying on data-driven algorithms that assess skills and experience. Diversity, Equity, and Inclusion: Promotes a more diverse workforce by ensuring all candidates receive fair and equal consideration. 3. Speed, Efficiency, and Better Experience Quick feedback: Candidates receive personalized compatibility assessments, keeping them engaged and boosting your employer’s reputation. Actionable analytics:Get instant reports on candidate pools, hiring trends, and recruitment ROI to optimize strategies. 4. Scalable and Integrative This AI agent scales with you and can process numerous applications much faster with more speed and accuracy. This AI agent seamlessly integrates with your applicant tracking system (ATS), supports SAP SuccessFactors, Workday, and other third-party platforms. Business Benefits with TalentMatch Significant time savings: Eliminates hours of manual resume sifting, while recruiters can spend less time searching and more time engaging with candidates. It reduces screening time for recruiters significantly with automated profile evaluation and frees up their time. TalentMatch ensures positions are filled faster with quicker candidate shortlisting. This empowers organizations to capitalize on opportunities and reduces time-to-hire with faster closures. Superior quality of hire: By understanding the true essence of a role, TalentMatch ensures a more precise match with a job description-driven shortlisting. Enhances recruiter productivity: TalentMatch transforms recruiters from administrative screeners into strategic talent advisors. They can focus on building relationships, conducting insightful interviews, and delivering exceptional candidate experiences. Data analytics and insights: Delivers insights for smarter workforce planning and empowers recruiters to forecast hiring needs and trends. Cost efficiency: Fewer mis-hires, faster fills, and optimized recruiter time with TalentMatch directly helps to translate into significant cost savings. Conclusion TalentMatch empowers Talent Acquisition and recruiter teams to screen smarter and faster, with precision hiring without any bias. With TalentMatch, your recruiters can spend more time with your candidates than going through thousands of resumes! Recruitment teams using TalentMatch report dramatically reduced time spent on initial screening, more productive sourcing, and better relationships with both clients and candidates. This AI agent is transforming and accelerating

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Adroitent blog header with title ‘Sitecore Helix Architecture: A Layered and Modular Development Standard’ over abstract blue helix-like background

Sitecore Helix Architecture: A Layered and Modular Development Standard

Sitecore Helix Architecture: A Layered and Modular Development Standard Table of Contents Introduction Key Facets of Sitecore Helix Architecture What is the Golden Rule of Helix? Benefits of Sitecore Helix Architecture for Enterprises and Businesses Sitecore Helix Architecture – Key Benefits Overview 6 Best Practices with Sitecore Helix Architecture Best Applications of Sitecore Helix Conclusion. Introduction In today’s rapidly evolving digital landscape, enterprises require robust, scalable, and easily maintainable content management systems (CMS). Enterprises, in their quest to deliver seamless digital experiences, need CMS platforms that are powerful, scalable, and easy to manage. This is where Sitecore Helix Architecture steps in, providing a robust framework that transforms how large organizations build, manage, and evolve their Sitecore solutions. Sitecore Helix is a set of design principles and development guidelines introduced by Sitecore to promote modular, maintainable, and scalable solutions on the Sitecore Experience Platform. Sitecore Helix Architecture has emerged as the gold standard for building enterprise-grade Sitecore implementations that can adapt to complex business requirements while maintaining code quality and developer productivity. Sitecore Helix is a collection of recommended practices and conventions for the solution architecture of Sitecore product implementations. Moreover, Helix is a set of official guidelines and recommended practices from Sitecore, wherein each component is independent, reusable, and designed for a specific purpose, empowering enterprises and businesses to construct complex digital ecosystems with unprecedented agility. Key Facets of Sitecore Helix Architecture Sitecore Helix architecture is modular and is based on breaking down the solution into effective logical modules. Each module is focused on a single responsibility, making the system easier to understand, develop, test, and extend. The main purpose of Helix is to provide developers with efficient guidelines to help them build future-proof solutions that are easy to maintain. The Sitecore Helix is characterized by three elements: Layers Coupling Cohesion 1. Layers: In Sitecore Helix architecture, a layer refers to a logical grouping of code and functionality based on its responsibility and role within the solution. Layers are used to enforce modular development, separation of concerns, and maintainability. Layers further consist of three main divisions: Foundation Layer: This layer holds the low-level, cross-cutting concerns such as logging, data access, or indexing that are shared across multiple features. This is the bedrock layer that contains low-level and cross-cutting concerns that are fundamental to the entire solution. Let us think about some of the shared services, base templates, common utility functions, and integrations with core enterprise systems (CRM, ERP, etc.) wherein any change here significantly impacts many other layers for reusability and is named as Foundation layer. Feature Layer: This layer contains the reusable business features like navigation, search, news, etc; wherein each feature is self-contained and independent. Each module in this layer represents a specific, self-contained business feature such as a news listing, product catalog, search functionality, or a promotions module. Specifically, these Feature modules should be independent of each other, promoting isolated development and deployment. Project Layer: This layer contains project-specific code and configuration, such as page types and layouts. It orchestrates features but doesn’t contain business logic. This layer brings everything together, more like the composition layer, where you can assemble the features and foundation elements to create specific websites, microsites, or digital channels. It provides the overall context, layouts, and site-specific configurations, typically containing minimal custom code. 2. Coupling: It refers to how modules relate to each other referring to the dependencies between the modules. Typically, low coupling indicates modules are independent and changes in one do not affect others. 3. Cohesion: As the name suggests means ‘sticks’ something together, referring to how closely related are the functions within a module. While Sitecore Helix promotes low coupling between the modules, it also encourages high cohesion within each module. High cohesion refers to one module taking up single responsibility. What is the Golden Rule of Helix? Dependencies flow downwards. Project modules can depend on Feature and Foundation modules. Feature modules can depend only on Foundation modules. Foundation modules can only depend on other Foundation modules. This strict hierarchy ensures clarity and reduces complexity. Benefits of Sitecore Helix Architecture for Enterprises and Businesses There are profound benefits for enterprises and businesses with Sitecore Helix architecture. Some of them have been given below: Development-based Accelerated development cycles: With clear boundaries and reduced interdependencies, the development teams can work in parallel on different features. This fosters true agile development, ensuring faster iterations and quicker time-to-market for new functionalities, and in enabling better digital experiences. Enhanced code reusability: Helix architecture’s flexibility to design features as independent modules ensures, they can be easily reused across multiple websites, brands, or even future projects. This saves significant development time and cost, promoting consistency across your digital properties with enhanced code reusability. Improved code quality and testing with modular code: Helix enforces architectural patterns that naturally lead to better code quality. The clear separation of concerns makes code more readable, testable, and maintainable. This is particularly valuable for enterprises that need to maintain solutions over many years. Modular code is easier to test, both in isolation and as part of the overall system. The modular nature of Helix makes it easier to implement comprehensive testing strategies. Each feature can be unit tested in isolation, and integration tests can focus on specific interactions between modules. Easier upgrades and future-proofing: Sitecore’s core product evolves and Helix makes the upgrades easier, as the changes are isolated to specific modules, reducing the risk and effort associated with the platform updates. The Helix architecture ensures your solution is flexible enough to embrace future Sitecore innovations. Scalability-based Unmatched scalability and maintainability: As enterprises’ digital footprint grows, so does the complexity of the business. Helix breaks down your solution into manageable, independent modules wherein new features can be added without impacting existing ones. Further, maintenance becomes more focused and less prone to ripple effects across the entire platform with unmatched scalability and maintainability. Team-based Improved team collaboration: Helix provides a standardized structure that developers can understand and follow, regardless of their experience level. This

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Empowered A Leading Automobile Manufacturer in Japan with Global Application Support

Empowered A Leading Automobile Manufacturer in Japan with Global Application Support Services and Improved Operational Efficiency About the Customer The customer is a leading automobile manufacturer in Japan and is named as the sixth largest car manufacturer in the world. The company sells its vehicles under various brands, with in-house performance tuning products and has been producing vehicles for over 80 years. The company has been delivering a diverse portfolio of vehicles under multiple brands including high-performance models. Their global operations span across Europe, North America, and Asia, with distributed application environments tailored for each regional hub. The Business Challenge With multiple operational environments across Japan (East & West), Northeast Asia, and Europe, the customer faced increasing complexity in maintaining and supporting its Azure-based infrastructure. Their application environments required: Consistent troubleshooting and patching Timely certificate and password updates Disk cleanup and regular VM health monitoring Database backup and fine-tuning Migration to newer versions of Azure services in response to Microsoft’s sun setting of legacy features Thus, the customer needed a reliable application support services provider for managing their region-wide proactive issue resolution, maintaining stable infrastructure without service disruption, and avoiding application-level HTTP errors like 502/503, which were critical for their business continuity. Adroitent’s Solution – Seamless Global Application Support Services Adroitent designed a comprehensive application support strategy, tailored to the customer’s multi-region Azure environment. The solution included: Core Support Activities Quarterly patching and troubleshooting Annual certificate renewals Ad-hoc disk cleanups and space optimization Regular VM password updates and Active Directory (AD) account generation Azure version migration across environments to align with Microsoft’s upgrade cycles Full coverage for over 100 Virtual Machines, including: Database servers (Primary & Secondary) Content, Batch, APA, CPAA servers, and AD Servers Automated processes & monitoring with PowerShell scripting for: Disk cleanup Database patching Legacy-to-modern Azure migrations VM Scale up and Scale down – need based Log collection and management Capping memory for reducing the usage of the software Rollbacks and VM backups for fail-safe updates Integration with JP1 Monitoring tool for real-time alerts and event logs Access via VPM login and centralized maintenance server for secure remote troubleshooting Monitoring alerts via mails for quicker resolutions Technologies Leveraged Microsoft Azure Cloud Platform – Scalable hosting and infrastructure PowerShell Scripts – Automation for disk cleanup, patching, migrations JP1 Monitoring Tool – Real-time performance and health alerts of CPU utilization React.js – For dynamic UI experiences Business Outcomes Zero downtime: Reduced the errors of 502 or 503 errors post implementation ensuring continuous availability of business-critical applications. Security & compliance: Passwords and certificates were updated on time across all VMs and servers, ensuring proper strengthening of security. Successful Azure migration: Smooth transition to updated Azure versions was carried out across global environments, ahead of Microsoft’s deprecation (Sun setting) deadlines. Streamlined monitoring: Issues were detected and resolved quickly via automated alerts with effective patching mechanisms. Operational efficiency: Improved operational efficiency with reduced downtime with seamless and stable application availability across regions of customer’s operations.

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Seamless IT Support Services for a Leading Dental Brand in the USA Helped Enhance

Seamless IT Support Services for a Leading Dental Brand in the USA Helped Enhance Operational Efficiency and Improve Global Operations About the Customer The customer is a global family of over 30 trusted dental brands, united by a shared purpose: to partner with professionals to improve lives. Headquartered in California, USA, the company helps its partners deliver the best possible patient care through industry-leading products, solutions, and technology. The customer’s comprehensive portfolio includes dental implants and treatment options, orthodontics, and digital imaging technologies, covering an estimated 90% of dentists’ clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the human smile. Business Challenge As the customer expanded its global operations in different regions, there was a growing need to provide robust IT support services to both its internal teams and its customers. Some of their business requirements were: Manage IT support for a diverse range of hardware and software assets, including laptops, mobile devices, and internal applications. Implement standardized processes for role-based access management across various departments and applications. Provide timely support for over 400 applications, including SAP, Oracle, Microsoft, ERP, SaaS, Business Intelligence tools, ServiceNow, etc. across varied departments. Establish a knowledge base to assist internal teams and customers in resolving common IT issues on the go at a faster pace with minimal downtime. Solution Delivered Adroitent partnered with the customer to provide comprehensive IT support services for the customer’s global operations. A dedicated team, comprising engineers and senior engineers, was established to manage daily operations and support requests. Key responsibilities included: Providing hardware and software support for laptops, mobile devices, and internal applications. Managing role-based access by creating accounts and providing access based on user roles, following ITIL best practices. Handling support requests for various applications, ensuring timely resolution and minimal downtime. Developing and maintaining a knowledge base with over 200 articles to assist users in troubleshooting common issues.   Tools/Technologies Leveraged ServiceNow for IT service management and ticketing. SAP and Oracle for enterprise resource planning. Microsoft applications and tools. Various ERP, SaaS, and Business Intelligence applications. Internal customer applications: Providing support for proprietary internal platforms. Business Outcomes The collaboration between the customer and Adroitent led to significant improvements in IT support services: Scalable support: The structured IT support approach ensured the customer to efficiently scale its IT support operations to accommodate growth and regional requirements, which enhanced service quality across its global footprint. Minimized downtime: Teams established a first point of contact (POC) for IT support that ensured prompt response to outages and support requests. Faster incident resolution and proactive monitoring led to reduced system outages and productivity improvement. Quicker ticket resolution: Teams resolved around 120-150 tickets per day, with 200 tickets in progress, and efficiently handled support requests quickly. Streamlined IT support operations: Standardized IT support workflows and automation reduced manual errors and inefficiencies during ticket resolutions. Knowledge base: Support team developed a comprehensive knowledge base with 200 articles that significantly reduced the time to resolve common issues and empowered users with effective resolution options. Enhanced operational efficiency: By standardizing processes through ITIL, the customer achieved greater efficiency in IT service delivery, leading to faster resolution times and improved resource utilization across its global operations.

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Blog banner by Adroitent titled 'How is the Transformative Power of AI in Software Engineering Empowering Businesses?'. Image features a person holding a digital representation of AI surrounded by futuristic AI-related icons, including a brain, data, settings gear, shield, and chatbot. Adroitent logo with tagline 'Agility. Delivered' is shown at the top left.

How is The Transformative Power of AI in Software Engineering Empowering Businesses?

Table of Contents An Overview: Transformative Synergy between Artificial Intelligence and Software Engineering. How AI is Revolutionizing Software Engineering? Benefits for Businesses Leveraging AI in Software Engineering How Enterprises Can Navigate the Future with AI-powered Evolution? Conclusion. An Overview of Adroitent’s Software Engineering Services Adroitent’s AI Innovation – DevAlley (An AI Platform for Software Engineering) An Overview: Transformative Synergy between Artificial Intelligence and Software Engineering The digital landscape today is increasingly complex, with change accelerating rapidly with an ever-growing demand for innovative solutions. In this dynamic environment, businesses and enterprises are constantly looking to unlock new technologies and methodologies to develop innovative solutions to streamline operations, improve operational efficiency, and gain a competitive edge. Moreover, today’s businesses need to innovate faster, operate smarter, and deliver unmatched customer experiences to stay ahead of the competition. At the heart of this transformation lies the compelling intersection of Artificial Intelligence (AI) and Software Engineering. AI is the driving force for transformation and continues to act as an undeniable force within software development. When AI is integrated into software engineering, it empowers automation and redefines how software is designed, built, tested, and deployed. For a long time, people viewed AI and software engineering as separate domains. AI scientists focused on algorithms and models, while software engineers built the applications that housed them. However, in recent times, there has been a profound shift, where AI is not just an add-on feature but an integral part of the software development lifecycle, fundamentally reshaping how we build, deploy, and maintain applications, ultimately unlocking its transformative power for businesses. How AI is Revolutionizing Software Engineering? AI has become a practical and intelligent toolkit empowering software engineers in numerous ways: Intelligent code generation: Specific AI assistants have been developed that can understand the coding intent of the developer and suggest relevant code snippets, auto-complete complex functions, and even generate entire blocks of code based on specifications. This significantly accelerates development cycles, reduces repetitive tasks, and minimizes the risk of human error. Automated testing with AI tools: AI-powered testing tools can quickly identify potential bugs, enable self-healing, predict failure points, and automate testing that would be time-consuming and resource-intensive for human testers. This helps to deliver higher software quality with fewer defects with faster release cycles enabling faster time-to-market. Enhanced quality through intelligent testing: Traditional testing methods often struggle to keep up with rapid software development. AI transforms testing by predicting failure points, generating test cases, and adapting to code changes in real time. This leads to higher software reliability with faster and higher quality releases. Personalized development environments: AI can learn individual developer preferences and workflows, tailoring integrated development environment (IDE) settings, suggesting relevant documentation, and even providing personalized learning resources, thereby boosting productivity and enhancing developer satisfaction with development. Smarter project management: AI algorithms can analyze project data, predict potential roadblocks, optimize resource allocation, and even assess team performance. This enables more efficient project management, better risk mitigation, and faster time-to-market. Data-driven insights for development: AI can analyze vast amounts of code, user feedback, and performance data to provide valuable insights for optimizing software design, identifying areas for improvement, and predicting future user needs. Enhanced security: AI-driven security tools can analyze code for threats and vulnerabilities to detect anomalous behavior in running applications. They help to proactively identify and respond to potential cyber threats, leading to more secure and resilient systems. Adaptive systems and continuous learning: AI enables software to adapt in real-time learning from usage patterns, optimizing performance, and even predicting infrastructure needs. From self-healing applications to context-focused interfaces, AI makes systems more resilient and customer-centric. Strategic business impact: By embedding AI into software engineering processes, enterprises can scale innovation, drive operational efficiency, and unlock new revenue opportunities. Whether it’s automating manual workflows or enabling predictive analytics, AI transforms various software functions to empower business growth. Benefits for Businesses Leveraging AI in Software Engineering The integration of AI into software engineering is playing a key role in delivering tangible benefits to businesses: Increased developer productivity: Tools like GitHub Copilot or Tabnine use AI to suggest or generate code, reducing time spent on boilerplate or repetitive tasks. AI can generate and maintain documentation, saving developer time and ensuring consistency. This empowers businesses with better software outputs at a quicker pace. Faster Time to Market: By automating parts of coding, testing, and deployment, AI shortens development timelines. AI enhances CI/CD pipelines by predicting build failures, optimizing deployments, and auto-resolving infrastructure issues. The quickening of quality releases ensures businesses with faster time to market. Improved tester productivity: AI-powered tools analyze codebases to find bugs, vulnerabilities, and code smells which helps testers to quicken their testing processes and effectively improve their overall productivity with faster testing outcomes. Enhanced decision-making: AI models can predict time, cost, and resource requirements after analyzing historical data.  AI supports product managers and development teams in prioritizing features and bug fixes by analyzing user behavior, system impact, and usage patterns. This helps businesses to improve their overall productivity with informed decisions from various teams. Better maintenance and legacy code management: Through code refactoring suggestions, AI helps modernize and refactor legacy codebases efficiently. It can also predict the ripple effects of a code change across a complex system. This refactoring code helps businesses with faster time to market due to accelerated feature development. Improved user experience: Through AI-driven user behavior analysis, developers can understand how users interact with software, enabling more user-centric development with better outcomes for solutions. Innovation: AI continues to empower teams of different departments to experiment more, explore novel solutions, and ultimately drive greater innovation for enterprises and businesses. Strategic decision-making: AI provides data-driven insights, aiding businesses in making informed decisions with software development and deployment. How Enterprises Can Navigate the Future with AI-powered Evolution? The transformative power of AI in software engineering is not a future aspiration; it is a current event and a present reality that is rapidly evolving. Businesses that recognize and embrace this convergence of AI in software engineering will be

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A lawyer in a black suit reviewing documents at a wooden desk, with a gavel, legal scale, and clipboard in front of him in an office setting.

Quality Engineering Team Transformed Legal Management for a Leading US Financial

Quality Engineering Team Transformed Legal Management for a Leading US Financial Software Provider About the Customer Our customer is a prominent provider of financial and practice management software and has been empowering law firms for over four decades. They develop software for mid-sized law firms that enhances workflow efficiency and maximizes financial performance. Business Challenge The client operated on a legacy legal management platform that, while functional, faced several critical limitations in a fast-evolving digital environment. To remain competitive and deliver greater value to their customers, modernization became imperative. Key Challenges: Outdated user experience: The existing interface, though operational, did not align with modern UX standards. This resulted in reduced user satisfaction and a weakened competitive market position. Inflexible architecture: The legacy system’s architecture hindered the rapid deployment of new features and third-party integrations, which were increasingly demanded by users. Scalability and performance issues: As the client’s business expanded and data volumes surged, the platform struggled to deliver consistent performance, impacting user experience and operational reliability. High operational costs: Maintaining legacy infrastructure led to escalating expenses and inefficient, time-consuming operations, limiting the client’s agility and cost-effectiveness. Modernization Validation: The need for an independent quality assurance team to perform a thorough validation of the modernization effort. Adroitent’s Solution Adroitent collaborated closely with the customer to provide end-to-end Quality Engineering Services, ensuring the new platform met all functional and performance benchmarks. This seamless transition from a legacy system to a modern, user-friendly legal platform not only enhanced the user experience but also reinforced the customer’s competitive edge. Leveraging a rigorous testing methodology, strategic automation, and a collaborative delivery approach, we ensured the platform maintained the reliability their users depended on while elevating overall performance and usability. Testing Process Overview User story grooming: Worked closely with stakeholders to refine and prioritize user stories. Test case development: Developed detailed test cases based on acceptance criteria and created reusable components for efficient maintenance. Test execution: Conducted comprehensive testing cycles, including UI, functional, and regression tests. Automated repetitive smoke and regression test scenarios helped reduce testing cycle time between releases. Teams generated consistent test results with detailed reporting. Defect logging: Recorded bugs in Jira, providing clear visibility and traceability throughout the process. Re-testing: Validated fixes and performed regression testing to confirm issue resolution. Automation: Utilized TestComplete automation tool to automate repetitive test cases, enhancing efficiency and coverage. Testing coverage: The QA team was engaged in executing Functional, UI, Smoke, Regression, and User Acceptance Testing (UAT). Agile methodology: Adopted the Scrum model to facilitate iterative development and continuous feedback. Tools/Technologies Leveraged React js for building dynamic user interfaces Jira for efficient project and issue tracking TestComplete for robust test automation Business Outcomes Modernized platform: With dedicated teamwork and an emphasis on quality, we enabled the customer to modernize their legal management platform, aligning it with the dynamic requirements of today’s law firms. Enhanced quality: Delivered a high-quality, user-friendly modernized application that met all functional requirements across all application modules, resulting in increased customer satisfaction. Cost efficiency: Automation and streamlined processes led to reduced testing cycles and operational costs. Law firm reported increased and faster onboarding time with the new intuitive interface. Their Client satisfaction scores also increased with the new modernized platform. Reusable test assets: The repository of automated test scripts and documentation, facilitated easy maintenance and scalability. It also reduced testing cycle time by 65% through automation and decreased defect leakage to production significantly. 

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Quality Engineering Team Transformed Legal Management for a Leading US Financial

Quality Engineering Team Transformed Legal Management for a Leading US Financial Software Provider https://adroitent.ai/wp-content/uploads/2025/05/Legal_Platform_Modernization.mp4 About the Customer Our customer is a prominent provider of financial and practice management software and has been empowering law firms for over four decades. They develop software for mid-sized law firms that enhances workflow efficiency and maximizes financial performance. Business Challenge The client operated on a legacy legal management platform that, while functional, faced several critical limitations in a fast-evolving digital environment. To remain competitive and deliver greater value to their customers, modernization became imperative. Key Challenges: Outdated user experience: The existing interface, though operational, did not align with modern UX standards. This resulted in reduced user satisfaction and a weakened competitive market position. Inflexible architecture: The legacy system’s architecture hindered rapid deployment of new features and third-party integrations, which were increasingly demanded by users. Scalability and performance issues: As the client’s business expanded and data volumes surged, the platform struggled to deliver consistent performance, impacting user experience and operational reliability. High operational costs: Maintaining legacy infrastructure led to escalating expenses and inefficient, time-consuming operations, limiting the client’s agility and cost-effectiveness. Modernization Validation: The need for an independent quality assurance team to perform a thorough validation of the modernization effort. Adroitent’s Solution Adroitent collaborated closely with the customer to provide end-to-end Quality Engineering Services, ensuring the new platform met all functional and performance benchmarks. This seamless transition from a legacy system to a modern, user-friendly legal platform not only enhanced the user experience but also reinforced the customer’s competitive edge. Leveraging a rigorous testing methodology, strategic automation, and a collaborative delivery approach, we ensured the platform maintained the reliability their users depended on while elevating overall performance and usability. Testing Process Overview User story grooming: Worked closely with stakeholders to refine and prioritize user stories. Test case development: Developed detailed test cases based on acceptance criteria and created reusable components for efficient maintenance. Test execution: Conducted comprehensive testing cycles, including UI, functional, and regression tests. Automated repetitive smoke and regression test scenarios helped reduce testing cycle time between releases. Teams generated consistent test results with detailed reporting. Defect logging: Recorded bugs in Jira, providing clear visibility and traceability throughout the process. Re-testing: Validated fixes and performed regression testing to confirm issue resolution. Automation: Utilized TestComplete automation tool to automate repetitive test cases, enhancing efficiency and coverage. Testing coverage: The QA team was engaged in executing Functional, UI, Smoke, Regression, and User Acceptance Testing (UAT). Agile methodology: Adopted the Scrum model to facilitate iterative development and continuous feedback. Technologies Leveraged: js for building dynamic user interfaces Jira for efficient project and issue tracking TestComplete for robust test automation Business Outcomes Modernized platform: With dedicated teamwork and an emphasis on quality, we enabled the customer to modernize their legal management platform, aligning it with the dynamic requirements of today’s law firms. Enhanced quality: Delivered a high-quality, user-friendly modernized application that met all functional requirements across all application modules, resulting in increased customer satisfaction. Cost efficiency: Automation and streamlined processes led to reduced testing cycles and operational costs. Law firm reported increased and faster onboarding time with the new intuitive interface. Their Client satisfaction scores also increased with the new modernized platform. Reusable test assets: The repository of automated test scripts and documentation, facilitated easy maintenance and scalability. It also reduced testing cycle time by 65% through automation and decreased defect leakage to production significantly.

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Blog header image from Adroitent featuring a digital cloud icon with interconnected nodes and upward/downward arrows, alongside the title: 'The Cloud Advantage: How Is It Reshaping Enterprises’ Business Operations in 2025?

The Cloud Advantage: How Is It Reshaping Enterprises’ Business Operations in 2025?

Table of Contents Introduction What are the different types of Cloud Computing Models? What is the Cloud advantage for digital enterprises in 2025? How is Cloud Reshaping Digital Enterprises in 2025? What are the top Cloud solutions for enterprises to look in 2025? Conclusion. Adroitent’s Cloud Capabilities. Why choose Adroitent for your Cloud Solutions?. Introduction In 2025, cloud computing is no longer seen as a mere technological shift but has become the cornerstone of digital transformation for enterprises. Cloud computing is a key enabler of digital transformation, allowing organizations to modernize operations, accelerate innovation, and scale with ease. It offers the infrastructure, platforms, and services essential for enhancing and optimizing business processes. By adopting cloud solutions, enterprises can streamline operations, increase agility, and significantly reduce costs. Various cloud service models are available, each offering unique capabilities that help reshape and improve how businesses function. What are the different types of Cloud Computing Models? Infrastructure as a Service (IaaS): This model provides virtualized computing resources on-demand such as servers, storage, and networking. It allows businesses to scale their infrastructure on demand on a pay-as-you-go basis that is cost-effective. Businesses can maintain access to data and applications during outages or disasters, while also having the flexibility to scale computing resources up or down based on demand. Platform as a Service (PaaS): This is an effective cloud computing model that allows development teams to build, test, deploy, and scale applications without managing the underlying infrastructure. This model streamlines application development and deployment and is considered cost-effective. In this model, a third-party provider delivers hardware and software tools to businesses. Software as a Service (SaaS): This is a cloud-based model that allows users to access applications over the internet with a subscription-based services model. In this method, customers pay to access and use cloud-hosted software over the internet rather than purchasing it that ensures cost effective for businesses. What is the Cloud Advantage for digital enterprises in 2025 Let us know some of the important cloud advantages for enterprises and what leading research analyst say: According to Gartner projections, the end-user cloud spending is set to increase 21.5% globally to $723 billion in 2025. The cloud market will reach nearly $600 billion in 2025, the analyst firm said. Gartner expects 90% of organizations to have hybrid cloud deployments by 2027. Gartner predicts that 90% of organizations will adopt a hybrid cloud approach through 2027, and the most urgent GenAIchallenge necessary to address over the next year will be data synchronization across the hybrid cloud environment.” According to a Statista report, “The worldwide public cloud computiang market continues to grow and is expected to reach an estimated 723.42 billion U.S. dollars in 2025. This encompasses business processes, platform, infrastructure, software, management, security, and advertising services delivered by public cloud services.” According to another latest 2025 CIODIVE report, Cloud-based applications and software services continue to be the largest spending segment in their analysis report. Spending on SaaS applications will approach $300 billion in 2025, up from just over $250 billion in 2024. Infrastructure and platform services, the second and third largest segments, are the fastest-growing markets with expected year-over-year spending increases of 25% and 22% respectively. These latest reports showcase the increasing cloud adoption and the related cloud advantage for enterprises. Now, let us know the important cloud benefits for enterprises.   Faster deployments: Cloud-native applications can be deployed and updated faster than on-premise solutions. Collaboration and communication: Cloud-based collaboration tools facilitate seamless communication and teamwork, regardless of location.   Automation and cost optimization: Cloud-based technologies enable the automation of repetitive tasks, enabling optimization of business processes and reducing overall costs.     Faster innovation: Cloud platforms provide access to cutting-edge technologies, such as AI and machine learning, which help accelerate enterprises’ innovation.   Real-time analytics: Edge computing helps enterprises to process data closer to users, reducing latency and improving the real-time analytics. Advanced security: Cloud providers invest heavily in security and many cloud solutions offer advanced security features and compliance. Cloud storage protects against data breaches, ransomware, and cyber threats. Optimized IT spending: Reduces the overall IT overhead with less manual effort needed for server and infrastructure management. This reduction in IT overhead results in optimized IT spending. Data-driven decision-making: Various Cloud-based analytics and AI tools provide businesses with deeper insights into their data, leading to more informed decisions. Improves business agility: The Cloud provides on-demand scaling that enables businesses to either increase or decrease IT resources need-based which improves business agility. According to leading analysts, as today’s enterprises modernize data operations and adopt cloud-based GenAI tools, hybrid cloud ecosystems that integrate on-premise systems with infrastructure are bound to grow in the forthcoming years. Thus, Cloud platforms enable businesses to quickly adapt to changing market conditions and scale their business operations accelerating digital transformation.   How Cloud is Reshaping Digital Enterprises in 2025 Digital enterprises typically imply enterprises and businesses that heavily rely on technology and data, which makes the cloud’s influence critically profound for them. According to a leading   global technology market analyst firm with a distinct channel focus it said, its cloud services spending report states that cloud spending to grow 19% in 2025. Amazon Web Services (AWS) maintained its leadership position in the global cloud market in Q4 2024, securing a 33% market share and achieving 19% year-on-year revenue growth. Microsoft Azure remained the second-largest cloud provider in Q4 2024, with a 20% share and impressive annual growth of 31%. Microsoft reported that Azure’s growth included a 13% contribution from AI services, which grew 157% year on year. Google Cloud, the third largest cloud provider, retained an 11% market share and reported strong 32% year-on-year growth. As of 31 December 2024, Google Cloud’s revenue backlog grew to US$93.2 billion, up from US$86.8 billion in Q3. According to the latest update to the International Data Corporation (IDC) Worldwide Software and Public Cloud Services Spending Guide, “Worldwide spending on public cloud services is forecast to reach $805 billion in 2024 and double in size by 2028.” “Cloud

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ServiceNow ITSM Quality Assurance services enabled a leading global management

ServiceNow ITSM Quality Assurance services enabled a leading global technology consulting firm to improve operational efficiency, and gain a competitive advantage About the Customer The customer is a globally recognized management and technology consulting firm, delivering innovative solutions across digital operations, infrastructure modernization, data management, application transformation, and multi-cloud acceleration. With a diverse, international client base, the customer is known for its commitment to technological innovation and operational excellence. Customer’s Business Challenge As the customer expanded their digital operations, they encountered increasing complexity in managing and validating their ServiceNow IT Service Management (ITSM) platform. The absence of a structured and robust Quality Assurance (QA) framework led to significant challenges, introducing risks to service reliability and adversely affecting the overall customer experience. Some of the Key Challenges Identified were: Absence of a streamlined process to validate critical workflows such as Incident Management, Change Management, and Problem Management Elevated risk of service delays due to insufficient validation mechanisms Reduced agility in responding to service requests and managing incidents Inconsistent quality assurance practices negatively affected customer satisfaction With a strong international presence, the customer served its clients across various industries by delivering innovative solutions but lacked proper quality assurance practices for their ServicesNow ITSM implementation. Solution Delivered by Adroitent Adroitent partnered with the customer to design and implement a comprehensive Quality Assurance framework for their ServiceNow ITSM deployment. The Adroitent QA team played a critical role in validating and verifying the quality, reliability, and performance of the ServiceNow ITSM modules, ensuring alignment with defined business requirements Key Solution Components End-to-end QA services: Implemented a comprehensive QA framework covering functional testing, integration testing, and regression testing for effective validation of business rules. Developed test scenarios and reusable test cases aligned with ServiceNow workflows. Established a foundation for automation by developing robust and scalable Quality Assurance scripts and assets Provided QA best practices, documentation, and post-implementation support to ensure consistency, traceability, and agility in handling new updates and new configurations. Adopted agile methodology with 2 week sprints cycles enabling faster and quality releases Verification of ITSM functionalities: Tested and validated the core ITSM modules, including Incident Management, Change Management, Problem Management, and Service Request Management, Service Catalogue Management, and Knowledge Management to ensure each module operated as per defined business requirements Technology Stack Leveraged ServiceNow ITSM Test Management 2.0 integrated with Agile Development, Azure DevOps (for DevOps integration and release coordination) Postman/REST (for testing integrations and APIs). Business Outcomes Increased efficiency and reliability: Achieved faster incident response times through the use of pre-validated workflows and comprehensive automated test coverage. Enhanced agility: Accelerated the deployment of ServiceNow updates and customizations by minimizing QA-related delays. Improved customer satisfaction: Delivered a seamless and consistent user experience for both internal stakeholders and external consumers of ITSM services. Strengthened competitive advantage: With stabilized ITSM operations, the customer confidently scaled support and service delivery, consistently meeting enterprise SLAs and surpassing customer expectations.

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Shared Services Engagement Model for GCCs

Shared Services Helped Global Enterprises Scale Efficiently and Accelerate Time-to-Market within the GCC. https://adroitent.ai/wp-content/uploads/2025/05/Shared_Services_Video.mp4 About the Customers Adroitent collaborated with several global enterprises across diverse industries—such as healthcare, financial services, and banking—to implement a Shared Services model within their Global Capability Centers (GCCs) These organizations required cost-effective, flexible, and scalable resource engagement models designed to meet their dynamic project requirements while ensuring operational continuity, strict confidentiality, and delivering consistently high-quality outcomes. Business Need of Customers Amid rising operational costs, evolving business demands, and increasing delivery complexities, enterprises required a reliable partner to: Provide part-time and shared resources tailored to project-specific needs. Optimize costs while maintaining expertise, service continuity, and delivery excellence. Facilitate seamless collaboration across diverse domains and technology ecosystems. Uphold data security and confidentiality within a shared services environment. Global enterprises selected Adroitent for its proven GCC delivery model, AgileSourcing Model of resource management, and strong operational governance—providing scalable, secure support tailored to evolving business needs. Shared Services Enabled by Adroitent Adroitent established a Shared Services Hub to deliver cross-functional and multi-technology expertise across projects/customers through a well-governed and secure shared services engagement model that included: Due diligence & requirements analysis: A proper assessment of each customer’s requirement, application, and workflow needs. Tailored resource allocation: Align skilled professionals for both full-time and fractional, based on specific delivery needs. Multi-client engagement model: Enable a structured resource mapping across clients while ensuring SLA compliance and knowledge retention. The shared services were supported through: Knowledge management portal: A shared repository capturing reusable assets, best practices, and onboarding artifacts. Data privacy & infrastructure security: Establish secure environments and enforce NDAs to protect customer IP. Agile & cross-project flexibility: Resources were able to seamlessly shift between projects, enabling optimal utilization and on-time delivery Type of Resources Deployed Adroitent deployed skilled professionals across a broad range of technologies, delivering specialized expertise tailored to each engagement. To name a few : : Test Leads – Design test strategies and ensure effective QA across project lifecycle Architects & Technical Consultants – Design roadmaps to build scalable solutions Business Analysts – Drive requirement analysis and functional documentation Scrum Masters – Lead Agile sprints, and track delivery milestones Automation Engineers – Implement test automation frameworks Database Administrators (SQL) – Manage performance tuning and security SAP SuccessFactors Consultants – Deliver HR tech configuration and support Key Business Outcomes Optimized resource utilization: Enabled effective resource sharing model across multiple projects / customers. Increased agility & delivery velocity: Agile-led execution and shared knowledge base improved sprint success rates. Accelerated time-to-market: Manual intervention reduced via automation to ensure faster feature rollouts and deployments. Operational efficiency: Shared services model ensured streamlined collaboration and better ROI per resource Accelerate innovation: Adroitent enabled multiple enterprises to optimize operations, manage complex project deliveries, and drive accelerated innovation. This Shared Services model continue to deliver strategic value through efficient resource management empowering digital agility to global enterprises.

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