Adroitent

May 2025

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

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 Key Challenges: Outdated user experience: The existing interface, though operational, did not align with modern UX standards.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?

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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ServiceNow ITSM Quality Assurance Services For a Technology Consulting Firm

ServiceNow ITSM Quality Assurance Services | Adroitent Home/ Customer Stories/ SaaS & ERP Customer Story · SaaS & ERP ITSM you can trust: quality-assured ServiceNow How Adroitent delivered end-to-end quality assurance for a global management consulting firm’s ServiceNow ITSM platform — validating every release across incident, problem, change and the CMDB. Adroitent Case FileConsultingServiceNow · ITSM · QA3 min read The inflection pointFrequent releases, rising risk The customer relied on ServiceNow to run IT service management across a large, global user base. With frequent platform upgrades, custom workflows and integrations, each release carried the risk of breaking business-critical service processes. Release risk: frequent ServiceNow upgrades and enhancements risked disrupting live service operations Complex customizations: custom workflows, catalog items and integrations needed validating across every module Manual testing effort: repetitive regression cycles consumed significant time before each release Consistency at scale: quality had to hold across incident, problem, change, request and the CMDB Every upgrade must land without breaking service. The interventionEnd-to-end ServiceNow quality assurance Adroitent set up a structured quality assurance practice around the customer’s ServiceNow platform, combining functional depth with automation to make every release predictable. ITSM module testing Validated incident, problem, change, request and knowledge workflows end to end Tested service catalog items, approvals, SLAs and notifications Test automation (ATF) Automated regression suites using ServiceNow’s Automated Test Framework Reduced manual effort and shortened release-testing cycles Integration & CMDB validation Verified integrations and data flows across connected enterprise systems Validated CMDB data integrity and configuration item relationships Release & upgrade assurance Structured regression before every upgrade and enhancement release Defects tracked to closure with full traceability and reporting The game changer Automated regression on every release Reusable ATF regression suites executed before each upgrade Faster release cycles with far less manual test effort Early defect detection — before issues reached live service operations Consistent quality across every ITSM module and integration ServiceNowATFITSMCMDBJiraAgile By the numbers Reliable releases Faster test cycles Fewer production defects Improved user experience By the numbers Reliable releases Faster test cycles Fewer production defects Improved user experience The payoffStable service, faster releases Reliable releases Structured regression and upgrade assurance meant platform changes went live without disrupting business-critical service operations. Faster test cycles Automated regression with ServiceNow’s ATF cut manual testing effort and shortened the time needed to certify each release. Fewer production defects Early defect detection during testing significantly reduced issues escaping into the live ITSM environment. Improved user experience Consistently validated workflows, catalog items and SLAs delivered a smoother, more dependable service experience for global users. Stronger governance Full traceability from test case to defect closure gave stakeholders clear visibility of release quality. The stack behind itTools & technology ServiceNowAutomated Test Framework (ATF)ITSM ModulesCMDBService CatalogJiraAgile / Scrum This engagement was delivered as part of Adroitent’s SaaS & ERP Services practice. Good to knowFrequently asked questions What is ServiceNow ITSM? ServiceNow ITSM is a cloud platform for IT service management. It centralizes processes such as incident, problem, change, request and knowledge management, along with the CMDB, so organizations can deliver, track and improve IT services consistently at scale. What is the ServiceNow Automated Test Framework (ATF)? ATF is ServiceNow’s built-in tool for creating and running automated tests inside the platform. Teams use it to build reusable regression suites that validate forms, workflows and catalog items automatically — especially before upgrades and releases. Why is testing important before a ServiceNow upgrade? Upgrades can affect customizations, workflows and integrations. Regression testing before an upgrade confirms that business-critical service processes still work as expected, reducing the risk of outages, broken approvals or data issues after go-live. What is a CMDB and why does it need validation? A Configuration Management Database stores configuration items and their relationships across the IT estate. Validating it ensures data accuracy and correct relationships, which service processes like change and incident management depend on for reliable impact analysis. How does QA automation improve ITSM platform releases? Automating repetitive regression tests shortens release cycles, improves coverage and consistency, and catches defects early — when they are cheapest to fix — letting teams release platform changes more frequently with far lower risk to live operations. Make every ServiceNow release a safe one. Quality assurance and automation that keep your ITSM platform dependable. Start a conversation Explore SaaS & ERP Keep reading Related customer stories GCC solutions Scalable engagement model empowered a global consulting firm Read story 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 More from Adroitent: all customer stories · insights & blog · adroitent.ai

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Shared Services Engagement Model for GCCs

Shared Services Model for GCCs: Scale Faster | Adroitent Home/ Customer Stories/ GCC Solutions Customer Story · GCC Solutions One hub, many clients: shared services that scale How Adroitent’s Shared Services engagement model gave global enterprises across healthcare, financial services and banking a cost-effective, flexible way to scale delivery within their Global Capability Centers. Adroitent Case FileMulti-industryGCC · AgileSourcing3 min read The inflection pointRising costs, evolving demands Adroitent collaborated with several global enterprises across healthcare, financial services and banking to implement a Shared Services model within their GCCs. Amid rising operational costs, evolving business demands and increasing delivery complexity, they needed a reliable partner to deliver flexible, scalable engagement. Provide part-time and shared resources tailored to project-specific needs Optimize costs while maintaining expertise, service continuity and delivery excellence Facilitate seamless collaboration across diverse domains and technology ecosystems Ensure operational continuity, strict confidentiality and consistently high-quality outcomes Share expertise across clients — without sharing risk. The interventionA governed Shared Services Hub Adroitent established a Shared Services Hub to deliver cross-functional and multi-technology expertise across projects and customers, through a well-governed and secure shared services engagement model. Due diligence & requirements analysis A proper assessment of each customer’s requirements, applications and workflow needs Clear scoping before any resource is allocated Tailored resource allocation Skilled professionals aligned for both full-time and fractional engagement Matched to specific delivery needs, not generic capacity Multi-client engagement model Structured resource mapping across clients SLA compliance and knowledge retention maintained throughout Knowledge management portal A shared repository capturing reusable assets and best practices Onboarding artifacts that accelerate ramp-up for every new engagement The model AgileSourcing — governed, secure, multi-client Proven GCC delivery model with strong operational governance AgileSourcing model of resource management across engagements Scalable, secure support tailored to evolving business needs Strict confidentiality maintained across a multi-client hub Shared Services HubSLA GovernanceKnowledge PortalAgileAutomation By the numbers Optimized resource utilization Increased delivery velocity Accelerated time-to-market Operational efficiency By the numbers Optimized resource utilization Increased delivery velocity Accelerated time-to-market Operational efficiency The payoffEfficient, agile, faster to market Optimized resource utilization Enabled an effective resource-sharing model across multiple projects and customers. Increased agility & delivery velocity Agile-led execution and a shared knowledge base improved sprint success rates. Accelerated time-to-market Manual intervention was reduced via automation, ensuring faster feature rollouts and deployments. Operational efficiency The shared services model ensured streamlined collaboration and a better ROI per resource. Accelerated innovation Multiple enterprises optimized operations, managed complex project deliveries and drove accelerated innovation. The stack behind itTools & technology AgileSourcing FrameworkShared Services HubKnowledge Management PortalSLA GovernanceAgile / ScrumAutomation This engagement was delivered as part of Adroitent’s Global Capability Center (GCC) Solutions practice. Good to knowFrequently asked questions What is a shared services model? A shared services model consolidates expertise and resources into a central hub that supports multiple projects, business units or customers. It reduces duplication, improves resource utilization and lowers cost per outcome while maintaining consistent quality and governance. What is a Global Capability Center (GCC)? A GCC is an offshore or nearshore center owned and operated by a company to run critical capabilities such as engineering, data and AI, cloud, cybersecurity and business operations — giving access to global talent and serving as a strategic extension of the enterprise. How does shared services differ from a dedicated team model? Dedicated teams work exclusively on one client or project, giving deep focus. A shared services model pools specialists across engagements, so organizations pay only for the capacity they use — ideal for fractional, variable or cross-technology needs. How is confidentiality maintained in a multi-client shared services hub? Through strong operational governance: access controls, segregated environments, defined SLAs, secure infrastructure and strict data-handling policies aligned to standards such as ISO 27001 — so client information stays isolated even when expertise is shared. How does a shared services model accelerate time-to-market? Pooled, ready-to-deploy expertise removes hiring delays, while reusable assets, shared knowledge bases and automation cut manual effort. Agile execution across the hub then speeds up sprint delivery, feature rollouts and deployments. Scale your GCC without scaling cost. A governed shared services model that flexes with your delivery needs. Start a conversation Explore GCC Solutions Keep reading Related customer stories GCC solutions Scalable engagement model empowered a global consulting firm Read story 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 More from Adroitent: all customer stories · insights & blog · adroitent.ai

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