2025 will see AI seamlessly integrated into daily life, driving decisions and outcomes invisibly.
Summary
AI Everywhere
Shift in Focus
The emphasis will shift from AI innovation to better implementation and measurable results.
Data & Quality Assurance
High-quality data and system uptime will become more critical than ever.
QA Assumes Centerstage
QA frameworks will embrace Agentic AI to take advantage of autonomous testing and adaptive scripts.
Platform-centric Product Development
Digital products will evolve from stand-alone to create deeper value through collaborative ecosystems.
AI-Driven Managed Services
AI will proliferate to streamline IT support and accelerate predictive maintenance.
Hyper-Automation Growth
RPA will be enriched with AI, ML, and human-in-the-loop frameworks.
AI-Driven Application Development
Modern app development will thrive with Microsoft Azure.
Looking Back to Move Ahead
The transition from 2024 to 2025 could not have been more stark! Undoubtedly AI is trending, but it isn’t about more AI. The year 2025 will be about how AI is being integrated into our existence and decision-making, without us noticing it.
Even as we shop, travel, work, and watch movies, there will be an algorithm managing the infrastructure, scooping the data, listening to conversations, analyzing our movements, and presenting options we shall consume without batting an eyelid.
As AI moves behind the scenes, we will focus on how to better manage and improve outcomes. The launch of ChatGPT in late 2023 thrust AI and GenAI conversations into boardroom discussions, and the following year demonstrated a frenzy of activity around GenAI experiments. Much of that learning will be crystallized in 2025.
At NewVision, our teams also expertly dabbled with all things AI, weaving it into the very fabric of our offerings. While we consciously worked on AI tools and approaches during the year, the coming year will see an increased focus on smoother implementations with an intent to get better, smarter, and faster outcomes.
Along with AI, comes data. There will be increased efforts towards systematic data collection and the pursuit of high-quality data. Third and more important, quality assurance in all things digital will become critical as we witness an increased intolerance towards failure and downtime. As digital penetrates into every aspect of our lives, the need to have systems up and running will be a basic imperative. These are NewVision’s broad observations. Below we outline specifically how technology trends during 2025 will play out in different services.

- Quality Assurance and Testing
- Product development
- Data management and strategies
- Managed Services
- Intelligent Automation
- Microsoft
Quality Assurance and Testing
GenAI Powered Testing
GenAI-powered testing will accelerate as businesses strive to keep pace with QA requirements by generating test cases, providing test data and writing scripts automatically. Crucially, natural language processing capabilities will lower barriers for testing.
Agentic AI Automation
QA frameworks with embed Agentic AI capabilities, wherein testing solutions will act autonomously to manage and optimize tests without human interventions. Key features driving adoption are self-driven test execution, adaptive script maintenance, and predictive capabilities.
Continuous Quality at Scale
As digital deployments become interconnected, testing requirements will become comprehensive, and frameworks will move beyond CI/CD integration to encompass the entire software lifecycle delivery and integrate testing at every stage.
Ethical AI Testing Practices
Ethical AI QA practices will gain momentum as more organizations will include assessment for fairness, transparency, and bias in AI models. Tests cases will have a more human-centric design.
Product Development
AI-Driven
AI-infused digital product development will become more mature as organizations streamline adoption and utilize AI for requirement gathering, secondary research and prototyping activities. AI will play a stronger role to gather insights from unexplored sources, while also facilitating personalization.
Platform-centric
As the value of connected economy becomes more evident, digital product development will shift from stand-alone products to designing extensible products. Businesses will explore ways to monetize by leveraging collaborations.
NewVision product development team has helped organizations with legacy systems move to modern platforms to customize and better collaborate, while leveraging robust scalable framework.
Product-led Growth Strategies
2025 will see increased efforts towards designing products that are user-driven and sell by themselves because of extreme usability and value. Products will be simplistic and user-centric with seamless onboarding, intuitive interfaces and appealing features.
For instance, NewVision collaborated with a start-up to design and develop a digital platform that enables organizations to automate AI governance and comply with EU AI regulations.
Data Management and Strategies
AI-Powered Data Engineering
As AI becomes deeply integrated into business operations, organizations will infuse AI in data strategies for better collection, refinement, processing, and managing data models. There will be increased adoption of NLP, while self-learning and deep learning capabilities will increase accuracy in data models.
Unified Data Platform
To provide businesses users with data insights organizations will move fast to integrate data silos with a data fabric. Businesses will democratize data access with intuitive tools. Disruptive service models such as data-as-a-service will gain currency.
Automated Reporting and Self-service
Democratized access to data will be supported by automated data reports and self-service capabilities to facilitate customized reporting. Data visualization adoption will be a common feature in data platforms.
Managed Services
Ubiquitous AI Maintenance
AI-powered bots will proliferate in 2025 empowering agents to resolve tickets faster. Organizations will experience dramatic reduction in Average Resolution Time (ART), often cutting it by nearly 50%. At NewVision, our ITIS and AI/Data Practices will forge closer collaboration to develop AI tools to help clients better manage services and operations.
From Proactive to Predictive and Prescriptive Maintenance
AI is revolutionizing maintenance strategies by advancing from proactive to predictive. Prescriptive maintenance will recommend optimal actions to prevent failures using techniques like anomaly detection.
Managed Service Automation and Business Insights
The combination of Power BI for business analytics and Power Automate for automation has significantly enhance Managed Services and Operations. NewVision has integrated these tools into business operations to create a robust platform that helps organizations efficiently manage day-to-day operations, gain real-time insights, and automate routine tasks.
Intelligent Automation
Hyper-automation Expansion
RPA will be enriched with AI, ML, and analytics to automate complex business processes. Enhanced processes utilizing Human-in-the-Loop (HITL) automation, advanced analytics, cognitive technologies and algorithms will gain momentum.
AI-Powered Workforce Automation and Process Optimization
Increased digitalization of workforce as bots make autonomous decisions.
Low-code, no code
Faster uptake of low-code and no-code RPA platforms will empower non-technical business users to build and deploy bots without deep programming knowledge with drag-and-drop Interfaces and NLP capabilities.
Microsoft Azure will Bolster Cloud Innovation
Modernizing with AI-enhanced App Development
Modern application development will accelerate and Microsoft Azure is well positioned to emerge as a platform of choice for application modernization with enhanced AI capabilities such as, Azure OpenAI Service, Phi models, and Azure AI Search. Microsoft’s Fabric platform, a unified analytics solution, will help build a solid foundation for the AI era.
Microsoft Azure Cloud adoption will continue to gather momentum with advanced offerings such as Azure IOT suite and Azure Arc to support organizations to seamlessly manage Azure services in multi-cloud environments. Organizations will embrace a security first approach and implement Zero Trust Architecture in Azure Cloud while Microsoft 365 Copilot adoption will support rapid innovation.
AI Execution and Solid Data Strategy will be Key Focus in 2025
2025 will see concerted efforts in refining execution of AI implementations. This will result in deeper integrations and seamless automation powered by AI-to-AI handovers. As opposed to the current focus of augmenting human capabilities, this shift will empower users to change and modify systems using natural language.
A major pre-occupation will be to ensure high-quality data and build data models applicable to specific use cases, propelling the rise of smaller language models. Much of the AI success hinges on the quality of data, and organizations will make serious efforts to reduce data debt.
NewVision’s AI Roadmap for 2025
NewVision is gearing up to strengthen the inhouse capabilities with a skill transformation program that includes tailored learning paths. At the same time, we are pivoting existing offerings to offer AI-infused solutions. The company is strengthening strategic partnerships with industry-leading technology companies like Tricentis and Avo Assure to drive innovation, while making investments in dedicated AI studios. Above all, NewVision is actively engaging in market discussions to drive thought leadership in AI trends and industry developments.