Adroitent

May 2026

Scalable engagement model empowered a global consulting firm GCC

Scalable engagement model empowered a global consulting firm

Scalable engagement model empowered a global consulting firm with streamlined operations and a 30% reduction in operational expenses About the Customer A leading global consulting firm at the forefront of digital innovation, the customer delivers cutting-edge solutions across digital operations, application modernization, data platforms, and multi-cloud environments. With ambitious global expansion plans, talent agility was mission-critical to sustaining their growth momentum.  Business Challenge When talent becomes the bottleneck to growth Despite strong market demand, the customer faced a critical constraint:  Inability to onboard right-fit talent at the speed of business   Frequent project delays due to resource gaps   Growing pressure to support multi-geo expansion with specialized skills   Lack of a scalable and responsive talent supply model What they needed wasn’t just recruitment support but it was a strategic talent partner who could operate at the speed, scale, and complexity of their business.  The Solution in detail Adroitent stepped in as a transformation partner through its Managed Resourcing model, powered by the AgileSourcing Framework – a holistic, AI-enabled talent ecosystem designed for speed, precision, and scalability.  What Made the Difference?  AI-driventalent precision Leveraged AATMa and Talentalign to intelligently match candidates to roles   Enabled faster, bias-free, and highly accurate hiring decisions   Always-ready talent cloud Built a curated, on-demand talent pool across technologies and geographies   Ensured zero lag between demand and fulfilment   End-to-Endtalent lifecycle ownership From sourcing and onboarding to payroll and performance tracking   Delivered a frictionless, fully managed experience   Enterprise-grade governance Backed by CMMI Level 3, ISO 9001, ISO 27001 aligned processes   Ensured quality, security, and compliance at scale   Real-Timevisibility & collaboration Integrated dashboards (Power BI, Tableau) for live tracking and insights   Seamless collaboration via Teams, Zoom, and Slack   Business ROI Speed to hire transformed Operational agility at scale 30% cost optimization Accelerated business expansion Tools & Technology Leveraged Sourcing Portals: Leading Sourcing portals such as Naukri, Linkedin, and others were used to source candidates.  AI-based Talent Management Platform: AATMa (Adroitent Advanced Talent Management Platform) and Talentalign (Native AI and Agentic AI Recruitment and ATS Platform)  Communication: Microsoft Teams, Zoom, Slack  Dashboards & Reporting: Power BI, Tableau  Business Outcomes Speed to hire transformed: Critical roles were filled faster, eliminating project delays and accelerating delivery timelines.  Global talent, on-demand: Unlocked access to a diverse, multi-skilled talent pool, enabling seamless global operations.  Operational agility at scale: Dynamic ramp-up and ramp-down capability allowed the business to adapt instantly to market shifts.  30% cost optimization: Streamlined processes and AI-driven efficiencies led to significant cost savings and improved margins.  Accelerated business expansion: With talent no longer a constraint, the customer confidently expanded into new markets and opportunities. Talk To Our Experts

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Driving Digital Excellence for a North American Automotive Leader with Always-On Reliability & Data Intelligence

Driving Digital Excellence for a North American Automotive Leader

Driving Digital Excellence for a North American Automotive Leader with Always-On Reliability & Data Intelligence About the Customer 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. Business Challenge 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 Solution in detail The Solution: Proactive Engineering Meets Data-Driven IntelligenceAdroitent partnered with the customer to deliver a next-generation support and maintenance ecosystem, combining proactive engineering practices with advanced analytics through GA4. What Transformed the Engagement 1. 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 2. Continuous innovation engine Delivered incremental enhancements and feature upgrades aligned to evolving business needs Ensured the platform stayed future-ready and competitive 3. Quality built into every release Rigorous unit and functional testing frameworks Guaranteed zero regression and consistent product performance 4. 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 Adroitent did not just stabilize the platform but unlocked the platforms’ data potential. 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 Business ROI Significantly improved platform stability Higher engagement & conversions True data-driven decision making Stronger business outcomes Tools & Technology Leveraged A modern, scalable tech stack included :   JIRA, Confluence | GitHub | Docker | Kafka | PHP, Laravel | Ruby on Rails | MongoDB, PostgreSQL | Heroku | Power BI/Tableau integrations Business Outcomes 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. Talk To Our Experts

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Powering AI-Driven Travel Experiences

Powering AI-Driven Travel Experiences with Robust DevOps and AWS

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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Enterprise AI Services

Enterprise AI Services Empowered a Global Publishing Leader with an AI Agent

Enterprise AI Services Empowered a Global Publishing Leader with an AI Agent that Enabled 4X Reader Growth and 3X ROI About the Customer The customer is a global leading publishing company offering a range of professional print and digital publications, books, and textbooks in specialties such as health, tax, accounting, and legal. The group serves customers in over 100 countries catering to millions of users across the globe. Customer Business Need In today’s age with more importance to customer experience dominating all businesses, this publishing services customer also wanted to ease the access of its journals and articles to millions of readers and were looking around the possibilities of an AI solution. They needed an AI solution to ease and quicken the display from their existing collection of journals and articles which runs in millions to its users based on every user search. They wanted an AI agent to seamlessly access their articles and journals by delivering topic-page generation, article summaries, results summaries, etc. along with other much-needed publishing industry in-demand use cases to enhance user experience. The Solution in detail Adroitent partnered with the customer to develop an AI agent (engine) leveraging LLMs to quicken user access with a topic-page generator, article summary generator, search results summary generator, and handled various other use cases to engage their readers.   Solution Highlights for Topic-page Generator Adroitent’s team developed a scalable and efficient AI agent leveraging LLMs for the customer. Teams deep-dived into the customer’s database to discover the topic name and search the matched terms. An initial fetching of the subheadings was done from their database and the newly developed AI agent picked the subheadings (most relevant or trending subheadings) for the topic page. Further to the above, the top 10 subheadings were used by the AI agent to arrange them in a sequence for a given or chosen topic keyword. Various article abstracts were used to create summaries using the AI agent that was displayed on the topic page generator. Quick validation and authentication of results enabled to deliver effective results to the readers. Business ROI Faster Access to Information Improved reader user base by 4X Indexed journals and articles enhanced display of accurate articles by 100% Improved ROI by 3X Technology stack leveraged The technology stack included Azure GPT4.0, Python, and SQL Server, AWS. Publishing Industry – AI Generator Use Cases Developed 1. Use Case Topic Page AI Generator  Features Benefits For any selected topic, the AI agent creates topic-focused pages or content automatically on the page. The related articles are displayed on the right side of the page. Similarly, the related topics are also displayed below the related articles. Advertisements related to the topic are also displayed for monetization on the right side. In the display section, below the topic page, the article summary and source articles list is also displayed. Enhances efficiency: Reduces the time and effort required to create detailed, and high-quality content enhancing efficiency. Eases publisher’s tasks: Allows publishers to scale content creation across multiple topics simultaneously. Drives user engagement: Creating content around the selected questions improves user interaction and keeps the readers engaged. Reduces human intervention: As AI agent rapidly generates high-quality content, it significantly reduces the time and effort required with human intervention. Data-driven insights: Analyzes vast amounts of data to identify trending topics and user preferences, ensuring that content is relevant and engaging. 2. Use Case Related Questions AI Generator for Searched  Topic Features Benefits For any topic or keyword searched by the user, the AI agent generates all related questions to quicken their access to the required content instantly. Boosts traffic: By addressing long-tail keywords and niche queries, the AI agent specifically attracts a wider audience and drives organic traffic. Enhances content relevance:  Generates related questions that align with the actual user’s intent, helping to address what people are actively searching for. Drives user engagement: Creating content around the searched questions encourages user interaction and keeps readers engaged. Supports multiple applications: Useful for blog posts, product pages, video scripts, customer support FAQs, and social media content. Saves time: Eliminates additional manual search by providing a ready-to-use list of user-focused questions. 3. Use Case Article Summary AI Generator Features Benefits For a searched article by the user, the AI agent instantly generates the article summary in few lines for any article (lengthy or small). Improves comprehension: Helps the user to focus on core ideas, eliminating unnecessary details that might distract from the main article. Enhances productivity: These article summaries are ideal for busy professionals, students, and researchers who need to process large amounts of information quickly and efficiently. Saves lot of time: Quickly condenses lengthy articles into small and short summaries for quick read, allowing users to grasp key points without reading the entire content. 4. Use Case Article Results Summary AI Generator Features Benefits For any keyword searched by the user, the AI agent generates all keyword related results summary, enabling users to quickly pick the accurate article of their choice as per their need. Saves time: Transforms lengthy articles into concise summaries in seconds, saving users hours of reading. Improves comprehension: Helps users to focus on essential information, helping users grasp the core ideas without unnecessary details. Error-Free extraction: Minimizes human errors in identifying key points or structuring summaries. Brings in scalability: Ideal for organizations or users managing large-scale content, such as media outlets, researchers, or corporate teams.   Business Outcome Faster Access to Information: The AI agent generates concise summaries of complex topics, helping users quickly find and understand the information they need. Increases Organic Traffic: By targeting long-tail keywords and niche queries, it attracts a broader audience and boosts organic search visibility. Improves Reader Engagement: The AI agent enhances the overall user experience by delivering accessible, relevant, and personalized content. Delivers Actionable Insights: It enables quick analysis of audience data to identify trending topics, helping publishers tailor content to user interests. Drives Content Ideation: The topic-page generator suggests related and emerging themes, supporting the creation of fresh and relevant content.

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