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June 2025

Seamless IT Support Services For a Leading Dental Brand in the USA

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

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

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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