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Modernizing and Maintaining a Legacy Platform

Modernizing and Maintaining a Legacy Legal Management System

IT Support, Software Engineering /

Legacy LMS Modernization: IBM AS/400 & RPG | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Keeping a legacy LMS alive: AS/400, RPG & compliance How Adroitent took end-to-end ownership of maintaining and modernizing a decades-old legal management system across IBM AS/400 (RPG, LANSA), PowerBuilder and Java — while delivering a US 1099 tax-compliance overhaul. Adroitent Case FileLegal SoftwareAS/400 · RPG · Compliance3 min read The inflection pointA complex, multi-layered legacy estate The customer’s core application, LMS, spans multiple layers and versions — built on IBM AS/400 with RPG and LANSA for back-end processing and PowerBuilder and Java for the front end — and needed ongoing maintenance and modernization across LMS 4, LMS 5 and LMS Plus, plus a major US 1099 tax-reporting overhaul. Maintaining LMS 4, a legacy RPG/LANSA system Supporting feature enhancements across LMS 4, LMS 5 and LMS Plus Integrating compliance-driven changes within short timelines Managing multi-channel communication and ticket lifecycle via Zendesk & Jira Navigating VPN access and security issues while collaborating remotely Keep decades-old software stable, supported and compliant. The interventionEnd-to-end modernization & support Adroitent provided end-to-end ownership of modernization, support and enhancement activities across all LMS layers of the customer’s system. Feasibility analysis Full-lifecycle delivery with feasibility analysis for RPG/LANSA code changes New feature addition for LMS Plus Testing process Unit, System Integration and User Acceptance Testing with the product owner End-to-end testing of all peripheral applications with issue resolution at every stage 1099 tax-reporting overhaul Rebuilt tax-form logic and shifted output format from PDF to CSV Ensured compliance with the latest U.S. Government standards Agile practices Daily SCRUM ceremonies — sprint planning and backlog refinement Direct customer communication throughout delivery The game changer A 1099 tax-compliance overhaul in 2.5 months Rebuilt 1099 tax-form logic (MISC, NEC) end-to-end Shifted output format from PDF to CSV per US Government standards Delivered across LMS 4 and LMS 5 within 2.5 months Full ownership of the ticket lifecycle from Zendesk to resolution RPGLANSAPowerBuilderJavaZendeskJiraSelenium By the numbers Ensured business continuity Delivered 1099 compliance Streamlined ticket lifecycle Resolved VPN connectivity By the numbers Ensured business continuity Delivered 1099 compliance Streamlined ticket lifecycle Resolved VPN connectivity The payoffContinuity, compliance, trust Ensured business continuity Proactive maintenance kept the LMS platform stable and available. Delivered 1099 compliance Successfully delivered the 1099 compliance project within 2.5 months across LMS 4 and LMS 5. Improved collaboration Better collaboration and visibility using Jira and Confluence workflows. Streamlined ticket lifecycle Full ownership of the ticket lifecycle from Zendesk intake through to resolution. Secure remote support Resolved critical VPN access issues, ensuring secure and seamless remote support. Strengthened trust Consistent delivery and rapid response to production issues improved performance and operational efficiency. The stack behind itTools & technology RPGControl Language (CL)LANSAPowerBuilderJavaZendeskJiraConfluenceSelenium This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is IBM AS/400 (IBM i)? IBM AS/400, now known as IBM i, is a reliable midrange server platform widely used for business applications. It runs languages like RPG and integrates the database, security and operating system into one system, and many enterprises still rely on it for stable, mission-critical workloads. What is legacy application maintenance and modernization? It is the ongoing work of keeping older software running — fixing issues, adding features and meeting compliance — while gradually upgrading its architecture, code or platform to improve performance, security and maintainability without disrupting the business. What are RPG and LANSA used for? RPG is a programming language for business applications on IBM i/AS-400, strong at data processing and reporting. LANSA is a low-code platform that extends and modernizes IBM i applications, enabling web and mobile front-ends over legacy back-ends. What changed in US 1099 tax reporting (MISC and NEC)? US 1099 forms report non-employee and miscellaneous income. The IRS reintroduced Form 1099-NEC and revised 1099-MISC, and agencies increasingly require structured electronic formats such as CSV instead of PDF, so software must update its form logic and output to stay compliant. Why not just replace a legacy system entirely? Full replacement is costly and risky because legacy systems hold years of critical business logic and data. Maintaining and incrementally modernizing preserves that value, ensures continuity and compliance, and spreads risk — often more pragmatic than a big-bang rewrite. Keep your legacy systems running and compliant. Proactive maintenance and modernization for mission-critical legacy software. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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End-to-End Support Services for a North American AutoTech Leader

IT Support, Software Engineering /

Modernizing and Maintaining a Legacy Platform (IBM AS/400) Legal Management System (LMS) for Enhancing Platform’s Operational Efficiency About the Customer Our customer is a tech-forward automotive platform provider serving many dealers and consumers across North America. Their software suite powers trade-in valuations, payment calculators, digital brochures, videos for sales and service, and much more. With over 7,000 dealer websites utilizing its capabilities, the company is leading the auto tech industry with advanced platforms. Customer Challenges The customer’s platform had issues and problems that spanned across configuration, data/feeds, and code, often around product boundaries and hosting environments. Some of the pain points were: Fragmented handoffs between support triage and engineering Configuration issues and code issues Handling issues of core services enabled by the customer to their dealers   Solution Delivered Adroitent was chosen as the preferred partner by the customer to enable end-to-end support for their applications. Adroitent teams deep dived into the customer’s system and enabled an integrated support model that aligned with the customer’s business goals. This ensured single-threaded ownership from incident intake to fix and release for configuration, code issues, etc. Procedure adopted for Issue Resolution Dealers reporting issues: Dealers initially coordinated with the customer’s support team at the first level to report their issue. A preliminary investigation was performed by the customer’s support team for issue resolution by diagnosing and identifying the issue. Issue handling: Minor issues were handled by the support team; unresolved issues were logged in Jira, which were handled by Adroitent’s team. Issue type identification: Issues were categorized into Config issues, code issues, or data issues. A Jira ticket was created and assigned to the developer. The developers resolved the issue which was further tested and finally deployed to the production environment. Technology Leveraged Issue & Project Management: Jira Frontend & SDK: TypeScript/JavaScript, Angular Analytics: GA4, Shift Analytics Source Control: GitHub Deployments: Heroku (multi-environment) Cloud & Hosting: AWS Business Outcomes By partnering with Adroitent, the customer achieved significant improvements in issue resolution efficiency. Our team ensured that complex challenges were addressed swiftly and effectively, minimizing disruptions across their extensive dealer network. This strategic support model enabled the customer to concentrate on product innovation and core business operations while maintaining reliable, uninterrupted services for their dealers. We enabled a seamless dealer experience driven by faster triage, proactive resolution, and enhanced service continuity.

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What is the Role of AI Agents in Recruitment in 2025?

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The Role of AI Agents in Recruitment in 2025 | Adroitent Home/ Blog/ The role of AI agents in recruitment in 2025 Insights · Artificial Intelligence What is the role of AI agents in recruitment In 2026, AI agents are playing a pivotal role in reshaping recruitment strategies for enterprises and multinationals, making the process faster, data-driven, and candidate-centric. Adroitent InsightsArtificial IntelligenceTalent Acquisition5 min read Key takeaways AI agents move recruitment from time-consuming manual screening to a proactive, strategic, efficient process. They bring cognitive capabilities — understanding context, recognizing patterns, and adapting matching algorithms as they learn. Benefits include faster time-to-hire, higher quality of hire, bias reduction, and predictive workforce planning. Talentalign is Adroitent’s job-description-driven AI agent, built by the AI Center of Excellence (AICoE). IntroductionAI agents are reshaping recruitment In 2025, Artificial Intelligence (AI) agents are playing a pivotal role in reshaping recruitment strategies for enterprises and multinationals, making the process faster, data-driven, and candidate-centric. These AI agents are bound to transform every facet of the recruitment life cycle, moving it from a time-consuming process to a proactive, strategic, and efficient process. The challengesMajor recruitment challenges faced by recruiters in 2025 Traditional recruiters relied more on manual screening, smaller networks, and older versions of Applicant Tracking Systems (ATS). Some of their common challenges include: Sifting resumes: Recruiters struggle manually sifting through thousands of applications for specific skill sets that becomes a time-consuming task. Greater competition: While drawing from global talent pools, recruiters face intense competition from others for the same pool of skilled professionals. Timely hiring: Businesses need faster hiring for project-specific roles by recruiters. Any delay in hiring impacts project delivery, innovation cycles, and ultimately brand value. Candidate experience: Due to delayed feedback from recruiters, the candidates might shift to other sources. Today’s candidates expect faster feedback and seamless experience from first touchpoint to offer acceptance. Thus, traditional Human Resource Information Systems (HRIS) and Applicant Tracking Systems (ATS) alone are no longer sufficient. This is where AI agents step in as the strategic orchestrators of talent. In 2025, enterprises and businesses require scalable, intelligent, and automated AI agents to keep pace with their dynamic global expansion demands. The shiftWhat is the role of AI agents in recruitment? AI agents in recruitment represent a fundamental move from traditional keyword-driven candidate search methods to AI agents that bring cognitive capabilities. These agent capabilities mirror human intelligence while operating at speed, accuracy, and scale. These AI systems understand context, recognize patterns, and make intelligent decisions analyzing complex, and multi-dimensional criteria to shortlist profiles. Unlike rule-based old systems, AI agents adapt their candidate matching algorithms based on real-time outcomes, becoming more accurate and effective as they learn over time to shortlist profiles. This learning capability is particularly valuable for enterprises, multinationals, and GCCs, which often need to fill highly specialized roles with shorter timelines. AI agents are not replacing recruiters; they are empowering them to be more strategic. In practiceThe transformative role of AI agents in recruitment In 2025, AI agents will be deeply embedded across the entire recruitment lifecycle, performing a myriad of intelligent tasks such as: Semantic Job Description Analysis: AI agents go beyond keyword matching, semantically analyze job descriptions, understand the context, experience levels, etc. and shortlist the right candidates with high matching scores. Intelligent Profile Matching: AI agents scan internal and external talent pools (ATS, LinkedIn, GitHub, niche forums, etc.) to identify candidates whose profiles contextually align with job requirements. Automated Scoring & Ranking: AI agents automatically score and rank candidates based on their overall role fit, significantly reducing the manual effort of screening. Automated Summaries & Justifications: AI agents generate natural language summaries explaining why a candidate is a strong fit. Chatbots & Virtual Assistants: Intelligent chatbots handle initial candidate queries 24/7, personalizing communication and guiding candidates through the application process. Interview Scheduling: AI agents automate scheduling across multiple time zones, sending reminders and coordinating with hiring managers, reducing no-shows. AI-driven Assessments: For technical roles, AI agents administer and evaluate coding and technical assessments, providing objective performance data. Behavioral & Cognitive Analysis: AI agents analyze recorded video interviews for communication patterns and cognitive abilities, without human biases. Real-time Market Insights: AI agents monitor talent markets to provide strategic insights for workforce planning and compensation strategies. Predictive Analytics: AI agents predict future talent needs based on project pipelines, technology trends, and attrition patterns. The benefitsWhat are the benefits of AI-driven recruitment for enterprises? The implementation of AI agents in recruitment represents a paradigm shift from reactive to proactive talent acquisition powered with cognitive thinking capabilities. AI agents excel at what traditional recruitment tools struggle with — understanding the nuanced requirements of complex technical roles and identifying the right candidates for the right job role. Some of the benefits include: Accelerates time-to-hire Scalability and higher quality of hire Enhances recruiter productivity with more focus on candidate experience Bias reduction Real-time market intelligence and market insights Predictive analytics for strategic workforce planning Cost efficiency CaveatsData privacy and compliance aspects to ponder While AI agents bring immense value, enterprises need to evaluate the below aspects: Data privacy & compliance: Proper understanding and complying with GDPR, local data laws, and other policies should be taken into account. Bias in algorithms: Continuous monitoring is required to prevent hidden biases in AI models. Change management: Recruiters need training to work alongside AI agents effectively. Candidate perception: Striking the right balance between automation and human touch is the need of the hour for businesses in 2025. ConclusionThe future outlook The role of AI agents in recruitment for enterprises and businesses in 2025 is transformative. They are not just tools but strategic enablers that allow businesses to scale, innovate, and attract world-class talent in highly competitive global markets. By combining the efficiency of AI with the empathy of human recruiters, enterprises can create a future-ready ecosystem that empowers both growth and innovation. These agents are not replacing recruiters; they are empowering recruiters to be more strategic, efficient, and ultimately, more successful in securing the talent

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Meet Talentalign: The Future of Smart Hiring

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Meet Talentalign: The Future of Smart Hiring | Adroitent Home/ Blog/ Meet Talentalign: the future of smart hiring Insights · Artificial Intelligence Meet Talentalign, the future of smart hiring Tired of sifting through resumes with no right match? Talentalign is Adroitent’s job-description-driven AI agent that matches profiles to roles and shortlists the right candidates in minutes, not weeks. Adroitent InsightsArtificial IntelligenceTalent Acquisition6 min read Talentalign matches resumes to job descriptions and shortlists the right candidates in minutes. Key takeaways Talentalign is Adroitent’s job-description-driven AI recruitment agent, powered by the DROIT Platform and developed using LLMs. It analyzes job descriptions, matches and shortlists top candidates in minutes, and delivers closely-ranked profiles with a greater than 80% matching score. It reduces bias through objective, data-driven analysis and integrates with your ATS — supporting SAP SuccessFactors, Workday, and other third-party platforms. Business benefits include significant time savings, superior quality of hire, higher recruiter productivity, and cost efficiency. IntroductionThe 2025 talent landscape 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 challengeThe 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 Talentalign steps in. The productWhat is Talentalign? Powered by Adroitent’s DROIT Platform, Talentalign is an AI agent that empowers recruiters to instantly match resumes to Job Descriptions. Talentalign is an innovative AI agent for recruitment developed using LLMs to revolutionize the way you hire. Talentalign 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 Talentalign do? Adroitent’s Talentalign 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 In practiceTalentalign: empowering recruiters with the right fit in minutes, not weeks 1. AI-Powered Resume Screening Advanced algorithms: Talentalign 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: Talentalign 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 Talentalign 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. The right fit in minutes, not weeks. The benefitsBusiness benefits with Talentalign 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. Talentalign 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, Talentalign ensures a more precise match with a job description-driven shortlisting. Enhances recruiter productivity: Talentalign transforms recruiters

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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

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Sitecore Helix Architecture | Modular Development Guide Home/ Blog/ Sitecore Helix architecture: a layered and modular development standard Insights · Software Engineering Sitecore Helix Architecture: a layered and modular development standard Sitecore Helix is a set of official design principles and conventions that organizes a Sitecore solution into Foundation, Feature, and Project layers — the gold standard for building maintainable, scalable enterprise implementations. Adroitent InsightsSoftware EngineeringSitecore CMS12 min read Sitecore Helix organizes a solution into Foundation, Feature, and Project layers for maintainability at enterprise scale. Key takeaways Sitecore Helix is a set of official design principles and conventions from Sitecore for building modular, maintainable, and scalable solutions on the Sitecore Experience Platform. It organizes a solution into three layers — Foundation, Feature, and Project — and is characterized by three elements: Layers, Coupling, and Cohesion. The Golden Rule of Helix: dependencies flow downwards only (Project → Feature → Foundation), ensuring clarity and reduced complexity. Benefits include reusability, low complexity, low maintenance, easy troubleshooting, improved productivity, and significant cost reduction. IntroductionWhat is Sitecore Helix architecture? 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 facetsKey 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. The golden ruleWhat 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. For enterprises, Helix is not just a recommendation — it should be a strategic imperative. The benefitsBenefits 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

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Empowered A Leading Automobile Manufacturer in Japan

IT Support, Software Engineering /

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

IT Support, Software Engineering /

IT Support for Dental Brand in USA | Improved Efficiency Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Seamless IT Support Services for a Leading Dental Brand in the USA Seamless IT support services for a leading dental brand in the USA helped enhance operational efficiency and improve global operations. Adroitent Case FileIT SupportITIL · ServiceNow3 min read The inflection pointBusiness Challenge 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. 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. 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. Over 400 applications, a global footprint — and a growing need for robust IT support. The interventionSolution 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. Hardware & software support Providing hardware and software support for laptops, mobile devices, and internal applications. Role-based access management Managing role-based access by creating accounts and providing access based on user roles, following ITIL best practices. Application support Handling support requests for various applications, ensuring timely resolution and minimal downtime. Knowledge base development Developing and maintaining a knowledge base with over 200 articles to assist users in troubleshooting common issues. Tools / Technologies Leveraged A standardized, ITIL-aligned support stack 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. ServiceNowSAPOracleMicrosoftITIL By the numbers Scalable support Minimized downtime 120-150 tickets/day 200-article knowledge base By the numbers Scalable support Minimized downtime 120-150 tickets/day 200-article knowledge base The payoffBusiness Outcomes 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. The stack behind itTools & technology ServiceNowSAPOracleMicrosoftERPSaaSBusiness IntelligenceITIL This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What are managed IT support services? Managed IT support services provide ongoing management of an organization’s hardware, software, applications and user support — typically through a dedicated team and service desk — so issues are resolved quickly, access is governed, and internal teams stay productive. What is ITIL and why does it matter for IT support? ITIL (Information Technology Infrastructure Library) is a widely adopted framework of best practices for IT service management. Following ITIL standardizes processes like incident, access and knowledge management, leading to faster resolution and more consistent service quality. What is role-based access management? Role-based access management grants users permissions based on their job role rather than individually. It streamlines account provisioning, strengthens security and compliance, and reduces errors by ensuring people can access only the systems their role requires. How does a knowledge base improve IT support? A knowledge base is a curated library of articles and solutions to common issues. It lets users and support staff resolve recurring problems faster, reduces ticket volume, and preserves institutional knowledge so support scales without proportionally growing headcount. What is a first point of contact (POC) in IT support? A first point of contact is the single, defined entry for all support requests. Establishing one ensures every outage or request is logged and triaged promptly, speeds incident response, and gives users a consistent, reliable path to resolution. Scale IT support across your global operations. ITIL-aligned service desk, role-based access and knowledge bases that cut downtime. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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

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AI in Software Engineering: Powering Business Growth Home/ Blog/ How is the transformative power of AI in software engineering empowering businesses? Insights · Software Engineering How is the transformative power of AI in software engineering empowering businesses? AI is no longer an add-on to software engineering — it is an integral part of the development lifecycle, reshaping how software is designed, built, tested, and deployed to empower business growth. Adroitent InsightsSoftware EngineeringArtificial Intelligence8 min read Key takeaways AI has shifted from an add-on to an integral part of the software development lifecycle, reshaping how software is designed, built, tested, and deployed. It empowers engineers through intelligent code generation, automated testing, smarter project management, enhanced security, and adaptive, self-healing systems. Business benefits include increased developer productivity, faster time to market, better decision-making, and improved user experience. Adroitent’s Devailey is an LLM-based AI platform spanning requirements, code development, test generation, and deployment across the SDLC. OverviewTransformative synergy between AI 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. The shiftHow 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. AI is not just an add-on feature but an integral part of the software development lifecycle. The benefitsBenefits 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

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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 Services for a US Financial Software Provider

QACoE, Software Engineering /

Quality Engineering Services 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?

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Cloud Advantage 2025: Reshaping the Future of Business Home/ Blog/ The cloud advantage: how is it reshaping enterprises’ business operations in 2025? Insights · Cloud The cloud advantage: how is it reshaping enterprises’ business operations In 2026, cloud computing is no longer a mere technological shift — it is the cornerstone of digital transformation, helping enterprises modernize operations, accelerate innovation, and scale with ease. Adroitent InsightsCloudDigital Transformation10 min read In 2025, cloud computing has become the cornerstone of enterprise digital transformation. Key takeaways In 2025, cloud computing is the cornerstone of enterprise digital transformation — not just a technological shift. The core models are IaaS, PaaS, and SaaS, each offering pay-as-you-go scalability and cost efficiency. Gartner projects worldwide end-user cloud spending to rise 21.5% to $723 billion in 2025, with 90% of organizations adopting hybrid cloud by 2027. Cloud reshapes enterprises through on-demand scaling, hybrid and multi-cloud strategies, automated workflows, faster AI training, and global reach. IntroductionCloud is the cornerstone of digital transformation 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. The modelsWhat 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. The advantageWhat 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 GenAI challenge 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 computing 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. The shiftHow 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

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