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Powering AI-Driven Travel Experiences

Powering AI-Driven Travel Experiences with Robust DevOps and AWS – Copy

Leave a Comment / DevOps, Software Engineering /

Powering AI-Driven Travel Experiences with Robust DevOps and AWS Infrastructure Provisioning and Support About the Customer The customer is a leading travel management company and an industry-innovator in integrating artificial intelligence into the traveler’s journey. As a forward-thinking organization within the travel tech space, they sought to revolutionize how users book trips through an advanced AI-powered Email Bot Customer Business Need The customer developed a sophisticated application using Large Language Models (LLMs). The bot allows users to simply email a request (e.g., “Fly from Hyderabad to New York next Monday”), and the system automatically fetches airport lists, selects optimal routes, books tickets, secures hotel rooms, and arranges ground transportation. However, the customer while moving from development to production faced significant challenges with: Infrastructure management: Unsustainable management of complex backend APIs and LLM models on AWS manually Deployment bottlenecks: Lack of a formalized CI/CD pipeline slowed down the release of new AI features. Environment consistency: Faced challenges with code behavior across the environments of development, testing, and production. Architectural diversity: Inefficient management of hybrid environment ranging from serverless AWS Lambda, containerized ECS, and traditional EC2 The Solution in detail Adroitent Solution: End-to-End DevOps & Cloud Infrastructure Modernization Adroitent partnered with the customer to architect and implement a mission-critical DevOps and AWS Infrastructure provisioning. Focused on automating the lifecycle of the AI application to ensure high availability and rapid scalability. Solution Overview Automated CI/CD Pipelines: Teams transitioned the deployment process to a fully automated Bitbucket Pipeline consisting of: Automated build: After code merge into the target branch in the Bitbucket repository, the pipeline automatically triggers the build and deployment process. Integration across environments: Enabled smooth and consistent deployments across key environments, including Development, Testing, and Production. Infrastructure as Code (IaC) with AWS CDK: To eliminate manual errors, the team leveraged AWS CDK (Cloud Development Kit) and CloudFormation to implement infrastructure as code, enabling: Fully Scripted Environments: Entire infrastructure was codified, allowing one-click deployment of complex environments. Version-Controlled Infrastructure: All AWS resources—from S3 buckets to networking components—were version-controlled, ensuring consistency, traceability, and repeatability across deployments. Optimized Hybrid Compute Architecture: AI solution was deployed using AWS services to balance performance and cost that consisted of: AWS ECS & EC2: For heavy-duty LLM processing and persistent backend services AWS Lambda: To handle serverless, event-driven tasks within the booking flow. AWS Step Functions: To orchestrate the complex multi-step booking logic (Flight -> Hotel -> Cab). AWS SageMaker: Utilized for training and managing the backend LLM models. Business ROI Faster Time-to-Market Enhanced operational efficiency Stronger governance & compliance Scalability & agility Tools & Technology Leveraged Cloud Platform: AWS (EC2, ECS, Lambda, S3, CloudWatch, SageMaker, Step Functions) DevOps & Automation: AWS CDK, CloudFormation, Bitbucket Pipelines Backend & AI: LLM Models, Python/Node.js APIs Business Outcomes Faster Time-to-Market: Deployment cycles were reduced from hours/days to minutes, enabling quicker feature releases and faster response to business needs. Improved deployment reliability: Automated, consistent deployments minimized manual errors, resulting in more stable releases and fewer production issues. Enhanced operational efficiency: Automation reduced manual effort, allowing teams to focus more on innovation and core development activities. Cost optimization: Lower operational overhead and reduced rework led to optimized infrastructure and support costs. Stronger governance & compliance: Version-controlled infrastructure ensured full traceability, auditability, and adherence to compliance standards. Scalability & agility: On-demand environment provisioning enabled rapid scaling and greater flexibility to support evolving business demands. Improved developer experience: Simplified, one-click deployments enhanced developer productivity and accelerated on boarding. Talk To Our Experts

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A car dealer shaking hands with a couple in front of a vehicle in a showroom.

Driving Digital Excellence for a North American Automotive Leader

Leave a Comment / IT Support, Software Engineering /

Always-On Automotive Platform & GA4 Analytics | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Automotive · Software Engineering Driving Digital Excellence for a North American Automotive Leader with Always-On Reliability & Data Intelligence A leading North American automotive technology innovator, the customer empowers car dealers with an integrated digital platform that enhances the entire buyer journey — from trade-in valuations and payment calculations to service management and digital retail experiences. The customer’s ecosystem connects dealers and consumers through intelligent, high-performance applications. Adroitent Case FileAutomotiveGA4 · Support & Maintenance3 min read The inflection pointA pivotal inflection point As platform adoption surged, the customer faced a pivotal inflection point: Increasing need for always-on platform stability across dealer networks Rising expectations for faster issue resolution and zero disruption Demand for continuous product evolution to stay competitive Limited visibility into user behavior and engagement insights Urgent need to implement Google Analytics 4 (GA4) for next-gen analytics The challenge was clear: move from reactive support to a predictive, insight-driven digital operations model. The interventionProactive engineering meets data-driven intelligence Adroitent partnered with the customer to deliver a next-generation support and maintenance ecosystem, combining proactive engineering practices with advanced analytics through GA4. Always-On, proactive support model Shifted from reactive fixes to predictive issue resolution Continuous monitoring ensured risks were identified and resolved before impacting dealers or users Continuous innovation engine Delivered incremental enhancements and feature upgrades aligned to evolving business needs Ensured the platform stayed future-ready and competitive Quality built into every release Rigorous unit and functional testing frameworks Guaranteed zero regression and consistent product performance Agile at scale Adopted a Kanban-driven Scrum model Enabled continuous delivery, real-time visibility, and predictable releases The game changer GA4-Powered Data Intelligence Custom GA4 dashboards for real-time traffic and user behavior insights Seamless cross-platform integration ensuring unified analytics Deep visibility into user journeys, engagement patterns, and drop-offs Empowered teams to make faster, and smarter data-backed decisions GA4Custom dashboardsCross-platformReal-time insights By the numbers Improved platform stability Accelerated issue resolution Higher engagement & conversions Data-driven decisions By the numbers Improved platform stability Accelerated issue resolution Higher engagement & conversions Data-driven decisions The payoffFrom stability to strategic advantage Significantly improved platform stability Proactive monitoring and testing led to a sharp reduction in production defects, ensuring seamless dealer and consumer experiences. Accelerated issue resolution Structured support model enabled faster turnaround times, minimizing downtime and improving responsiveness. Higher engagement & conversions GA4-driven insights optimized user journeys, resulting in increased interaction across dealer tools and platforms. True data-driven decision making Teams gained clear, actionable visibility into user behavior, enabling continuous optimization and smarter business strategies. Stronger business outcomes Improved performance, enhanced engagement, and optimized operations, collectively contributed to a measurable improvement in the customer’s bottom line. The stack behind itTools & technology JIRAConfluenceGitHubDockerKafkaPHPLaravelRuby on RailsMongoDBPostgreSQLHerokuPower BI / Tableau This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is proactive application support, and how does it differ from reactive support? Proactive support continuously monitors systems to detect and resolve issues before they affect users, using telemetry, alerting and preventive maintenance. Reactive support only responds after something breaks. Proactive models improve uptime, reduce disruption and lower the long-term cost of incidents. What is Google Analytics 4 (GA4) and why did businesses migrate to it? GA4 is Google’s analytics platform built on an event-based data model that tracks users across web and app. Google retired the older Universal Analytics in 2023, so businesses moved to GA4 to keep measuring traffic, engagement and conversions with privacy-focused, cross-platform reporting. How does data analytics improve digital product decisions? Analytics shows how users actually behave — which journeys convert, where they drop off, and which features drive engagement. Teams use these insights to prioritize the roadmap, remove friction, personalize experiences and measure impact, replacing guesswork with evidence. What does ‘always-on’ reliability mean for a digital platform? Always-on reliability means a platform stays available and performant continuously, even during updates or traffic spikes. It is achieved through proactive monitoring, redundancy, automated testing and rapid incident response, so users see minimal downtime and consistent quality. Make your platform always-on. Turn reliability into intelligence — and intelligence into outcomes. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Powering AI-driven travel experiences with DevOps and AWS Read story Software engineering Modernization of healthcare applications in the US Read story Software engineering End-to-end support for a North American AutoTech leader Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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Powering AI-Driven Travel Experiences

Powering AI-Driven Travel Experiences with Robust DevOps and AWS Infrastructure Provisioning and Support

Leave a Comment / DevOps, Software Engineering /

Travel AI Platform: DevOps & AWS Automation | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Travel Tech · Software Engineering Powering AI-Driven Experiences for a Travel Agency with Robust DevOps and AWS Infrastructure Provisioning and Support The customer is a leading travel management company and an industry-innovator in integrating artificial intelligence into the traveler’s journey. As a forward-thinking organization within the travel tech space, they sought to revolutionize how users book trips through an advanced AI-powered Email Bot. Adroitent Case FileTravel TechAWS · DevOps · CI/CD3 min read The inflection pointFrom development to production The customer developed a sophisticated application using Large Language Models (LLMs). The bot allows users to simply email a request (e.g., “Fly from Hyderabad to New York next Monday”), and the system automatically fetches airport lists, selects optimal routes, books tickets, secures hotel rooms, and arranges ground transportation. However, while moving from development to production, the customer faced significant challenges with: Infrastructure management: Unsustainable management of complex backend APIs and LLM models on AWS manually Deployment bottlenecks: Lack of a formalized CI/CD pipeline slowed down the release of new AI features Environment consistency: Faced challenges with code behavior across the environments of development, testing, and production Architectural diversity: Inefficient management of hybrid environment ranging from serverless AWS Lambda, containerized ECS, and traditional EC2 instances Automate the entire lifecycle — for high availability and rapid scalability. The interventionEnd-to-End DevOps & Cloud Infrastructure Modernization Adroitent partnered with the customer to architect and implement a mission-critical DevOps and AWS Infrastructure provisioning — focused on automating the lifecycle of the AI application to ensure high availability and rapid scalability. Automated CI/CD Pipelines After code merge into the target branch, the pipeline automatically triggers the build and deployment process Enabled smooth and consistent deployments across Development, Testing and Production Infrastructure as Code (IaC) with AWS CDK AWS CDK and CloudFormation codified the entire infrastructure, allowing one-click deployment of complex environments All AWS resources — from S3 buckets to networking — version-controlled for consistency, traceability and repeatability Optimized Hybrid Compute Architecture ECS & EC2 for heavy-duty LLM processing; Lambda for serverless, event-driven booking tasks Step Functions orchestrate the Flight → Hotel → Cab logic; SageMaker trains and manages the LLM models The game changer Optimized hybrid compute on AWS AWS ECS & EC2 for heavy-duty LLM processing and persistent backend services AWS Lambda to handle serverless, event-driven tasks within the booking flow AWS Step Functions to orchestrate the complex multi-step booking logic (Flight → Hotel → Cab) AWS SageMaker for training and managing the backend LLM models ECSEC2LambdaStep FunctionsSageMakerS3CloudWatch By the numbers Faster time-to-market Improved reliability Stronger governance Scalability & agility By the numbers Faster time-to-market Improved reliability Stronger governance Scalability & agility The payoffFaster, reliable, scalable delivery Faster Time-to-Market Deployment cycles were reduced from hours/days to minutes, enabling quicker feature releases and faster response to business needs. Improved deployment reliability Automated, consistent deployments minimized manual errors, resulting in more stable releases and fewer production issues. Enhanced operational efficiency Automation reduced manual effort, allowing teams to focus more on innovation and core development activities. Cost optimization Lower operational overhead and reduced rework led to optimized infrastructure and support costs. Stronger governance & compliance Version-controlled infrastructure ensured full traceability, auditability, and adherence to compliance standards. Scalability & agility On-demand environment provisioning enabled rapid scaling and greater flexibility to support evolving business demands. Improved developer experience Simplified, one-click deployments enhanced developer productivity and accelerated onboarding. The stack behind itTools & technology AWS EC2AWS ECSAWS LambdaAWS S3CloudWatchSageMakerStep FunctionsAWS CDKCloudFormationBitbucket PipelinesLLM ModelsPython / Node.js APIs This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is Infrastructure as Code (IaC)? Infrastructure as Code manages and provisions cloud resources through version-controlled definition files instead of manual setup. Tools such as AWS CDK, CloudFormation and Terraform let teams review, reproduce and one-click-deploy entire environments, improving consistency, traceability and speed. How does a CI/CD pipeline speed up software delivery? A CI/CD pipeline automatically builds, tests and deploys code whenever changes are merged. Removing manual steps shortens release cycles from days to minutes, reduces human error, and produces consistent, reliable deployments across development, testing and production. When should you use serverless (AWS Lambda) versus containers (ECS/EC2)? Serverless functions like AWS Lambda suit short, event-driven tasks with variable load and no servers to manage. Containers on ECS or EC2 suit long-running, resource-intensive or stateful workloads — such as heavy LLM inference — where you need persistent compute and control. How do you deploy and scale an LLM application on AWS? A common pattern combines SageMaker to train and host models, GPU-backed containers (ECS/EC2) for inference, Lambda for lightweight tasks, and Step Functions to orchestrate multi-step workflows — with autoscaling and Infrastructure as Code to handle demand and keep environments consistent. What are the main benefits of DevOps automation? DevOps automation streamlines building, testing, deploying and monitoring software. It shortens release cycles, reduces manual errors, improves reliability and governance, and frees engineers to focus on new features rather than repetitive operational work. Make your platform deploy-in-minutes. Automate your cloud lifecycle — from code to production, at scale. Start a conversation Explore Software Engineering Keep reading Related customer stories Software engineering Driving digital excellence for a North American automotive leader Read story Software engineering Modernization of healthcare applications in the US Read story Software engineering End-to-end support for a North American AutoTech leader Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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Empowering Modernization of Healthcare Applications for a Leading Global Healthcare Technology Solutions Provider in the US

Modernization of Healthcare Applications for Cerner Healthcare Technology Provider

.Net, Software Engineering /

Modernization of Healthcare Applications for Cerner | Adroitent Home/ Customer Stories/ Software Engineering Customer Story · Software Engineering Modernization of Healthcare Applications for Cerner Healthcare Technology Provider Our Customer is a global leader in health information technology, dedicated to advancing healthcare delivery and improving the health of communities worldwide. Adroitent Case FileHealthcare ITHL7 · FHIR · .NET4 min read The inflection point Our Customer is a global leader in health information technology, dedicated to advancing healthcare delivery and improving the health of communities worldwide. The organization serves over 27,000 facilities globally, including more than 2,650 hospitals, 3,750 physician practices, 40 employer sites, and 1,600 retail pharmacies. By delivering integrated clinical and financial platforms, Cerner empowers healthcare providers to streamline operations and manage revenue cycles efficiently through innovative technology. As a massive global entity, Cerner faced the complex task of evolving its legacy systems to meet modern healthcare standards. Legacy systems transformation: A large portfolio of legacy Visual Basic applications required migration to a more scalable, efficient, and future-ready platform. Interoperability challenges: There were significant gaps in seamless data exchange across clinical, financial, and enterprise systems, necessitating the adoption of advanced integration capabilities. Application modernization needs: Critical applications, including inpatient pharmacy and registration modules within the Customer’s Millennium Suite, required a structured modernization approach to enhance functionality and performance. Reliability and performance assurance: Mission-critical production applications needed strengthened operational oversight to ensure high availability, stability, and optimal performance. A massive global entity, evolving its legacy systems to meet modern healthcare standards. The interventionSolution Adroitent played a pivotal role in the architecture, design, and integration of core solutions within the Cerner ecosystem. Adroitent maintained a long-standing, high-capacity partnership with the customer to ensure the continued stability and seamless operation of their mission-critical systems. Duration of involvement: 10+ Years. Team size: 45+ specialized professionals. Methodology: Agile. Design, and development Led architecture, design, development, quality certification, integration, and support for multiple core solutions within the Customer’s Healthcare ecosystem. Modernization approach Defined target architectures for mission-critical uplift programs and successfully migrated legacy Visual Basic applications to the .NET platform that improved the scalability, performance, and maintainability. Teams also played a key role in defining the target architecture for multiple mission-critical uplift programs such as Inpatient Pharmacy and Registration from their Healthcare Millennium Suite. Interoperability & API development Designed and implemented healthcare integrations using HL7 and FHIR standards. This included building FHIR-based RESTful APIs to support both modern and legacy hybrid integration scenarios. Quality engineering Developed custom quality certification and testing tools to strengthen automated quality control. Ensured system stabilization by conducting rigorous performance and memory testing and resolved root-cause issues through crash analysis to ensure system stability. Crash analysis and performance tuning Stabilized mission-critical applications through in-depth crash analysis, performance tuning, and root-cause resolution to ensure production reliability. Agile methodology Adopted Agile practices, delivering features through structured sprint cycles to ensure timely implementation, continuous feedback, and iterative improvement. The engagement A long-standing, high-capacity partnership Duration of involvement: 10+ Years Team size: 45+ specialized professionals Methodology: Agile Continued stability and seamless operation of mission-critical systems HL7 / DICOMFHIR R4SMART on FHIR.NET PlatformMirthRhapsodyOAuth 2.0 By the numbers Enhanced scalability Seamless interoperability Improved quality & reliability Clinician-centric results By the numbers Enhanced scalability Seamless interoperability Improved quality & reliability Clinician-centric results The payoffBusiness Outcomes Enhanced scalability Successful migration to .NET improved the performance and maintainability of the customer’s critical healthcare applications. Seamless interoperability Enabled unified data flow across labs, radiology, pharmacy, and external devices via standardized FHIR and HL7 interfaces. Improved quality & reliability Automated quality control and root-cause resolution led to stabilized production environments for mission-critical apps. Clinician-centric results Modernized UIs (PowerChart) and streamlined clinical workflows allowed physicians to focus on patient care rather than the underlying technology. The stack behind itTools & technology Secure network protocolsHL7/DICOM standardsFHIR R4CDAX12 (EDI)SMART on FHIR.NET PlatformOpen EngineMirthRhapsodyCloverleafOAuth 2.0TLS/SSLToken-based exchange This engagement was delivered as part of Adroitent’s Software Engineering Services practice. Good to knowFrequently asked questions What is healthcare application modernization? Healthcare application modernization is the process of upgrading legacy clinical and administrative software — re-platforming, re-architecting or rebuilding it — to improve scalability, security, interoperability and maintainability while preserving critical functionality and data. What are HL7 and FHIR, and why do they matter? HL7 and FHIR are healthcare data-exchange standards. HL7 defines messaging for clinical and administrative data; FHIR is a modern, API-friendly standard using RESTful web services. Together they let different health systems share patient data securely and consistently. Why migrate legacy Visual Basic applications to .NET? Migrating from legacy Visual Basic to .NET improves performance, security and maintainability, unlocks modern frameworks and cloud services, and reduces the risk and cost of running unsupported technology while preserving critical business logic. What is SMART on FHIR? SMART on FHIR is an open standard that lets third-party applications securely plug into electronic health record systems using FHIR APIs and OAuth 2.0 authorization, enabling interoperable, app-based clinical tools that run across different EHR platforms. How is interoperability achieved between clinical systems? Interoperability relies on shared standards (HL7, FHIR, DICOM, X12), integration engines such as Mirth, Rhapsody or Cloverleaf, and secure APIs. These translate and route data between labs, pharmacy, radiology and enterprise systems so information flows consistently. Modernize your mission-critical systems. Migrate legacy apps and connect them with standards-based interoperability. 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 End-to-end support for a North American AutoTech leader Read story More from Adroitent: all customer stories · insights & blog · adroitent.ai

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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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Illustration of a woman working on a laptop next to a large hard disk drive with tools and gears, symbolizing data storage and system maintenance

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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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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Established Quality Assurance Center of Excellence for Automotive Software leader

QACoE, Software Engineering /

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

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