Reinvent Your Systems with Application Modernization Solutions
Application modernization is the process of transforming outdated legacy systems into scalable, cloud-ready, and secure applications using modern architectures, frameworks, and technologies. Application modernization works by assessing the current application portfolio, selecting the right modernization approach (Rehost, Refactor, Re-platform, or Re-architect), and executing migration through structured, low-risk frameworks that maintain business continuity throughout the transition.
The 4 main benefits of application modernization are faster time-to-market, lower total cost of ownership (TCO), improved scalability, and reduced security risk. Organizations use application modernization services to exit mainframe and monolith systems, migrate to cloud platforms including AWS, Azure, and Google Cloud Platform (GCP), convert legacy codebases to modern languages, and enable continuous delivery through DevOps and CI/CD (Continuous Integration/Continuous Deployment) pipelines.
The core components of application modernization services cover 4 areas: Legacy Modernization Consulting, Modernization Engineering, AI (artificial intelligence)-powered accelerators, and Managed Services. Providers including Datamatics, NTT DATA, and The Provato Group structure modernization engagements across these components, using agentic AI-powered tools to reduce manual effort and compress timelines by 40–60%.
Modernize Legacy Systems Faster with AI-Powered Accelerators
Datamatics modernizes legacy systems 40% faster using AI-powered accelerators trusted by Fortune 500 enterprises for scalable, cloud-ready transformation. Datamatics brings 200+ customers worldwide, 5 decades of experience, and a delivery model covering India, US, and EMEA operations.
Legacy Systems Aren’t Just Slowing You Down — They Are Costing You Growth
Legacy systems create 4 categories of measurable business cost.
High Maintenance & Technical Debt
Runaway operational expenditure (OPEX) and fragile, aging codebases consume engineering resources that should go toward new product development. Technical debt accumulates faster in legacy systems than modern architectures can retire it.
Slow Releases & Limited Scalability
Monolith architectures block agility, growth, and performance. Release cycles lengthen as codebase size increases, and monoliths cannot scale individual components independently, forcing organizations to over-provision entire systems to handle peak loads.
Cloud Migration Complexity
Unknown dependencies, undocumented business logic, and compliance risks make cloud migration complex. Most legacy modernization projects fail not because of technical limitations but because teams start with assumptions instead of a thorough assessment of the existing system.
High Maintenance and Operational Costs
Legacy systems require specialist knowledge in technologies like COBOL, VB6, and AS400 that shrinks in the talent market every year. Maintaining these systems consumes a disproportionate share of IT budgets relative to the business value they deliver.
Complex, Risky Cloud Migrations
Complex cloud migrations fail when hidden dependencies surface mid-migration. A structured, assessment-driven approach that maps all application dependencies before migration begins eliminates this risk.
Fragmented Data, Poor Scalability, and Security Challenges
Legacy systems store data in fragmented formats that prevent integration with modern analytics platforms. Scaling legacy architectures requires significant infrastructure investment, and legacy security models do not meet current compliance requirements.
Scarcity of Skilled Legacy Technology Talent
The pool of engineers with deep COBOL, Mainframe, Oracle Forms, and AS400 skills decreases each year. Organizations that delay modernization face increasing difficulty maintaining systems as legacy-skilled talent retires.
Accelerate Modernization with Our Agentic AI-Powered Tools
Datamatics’ proprietary AI accelerators eliminate manual effort, reduce risk, and deliver modernization outcomes that increase business agility. The Kai suite covers 6 accelerators with specific, measurable productivity gains.
Our GenAI & Agentic AI Powered Accelerators
KaiBRE
KaiBRE (Knowledge AI Business Rule Extractor) is an AI-powered accelerator for faster business rule extraction that reduces maintenance costs by 30–70%. KaiBRE extracts business rules from legacy languages including COBOL and VB so developers rewrite applications in modern languages without learning outdated code, preserving business logic and accelerating modernization.
KaiCloud Analyzer
KaiCloud Analyzer is an AI-powered cloud tool that speeds up application portfolio assessment by 30%. KaiCloud Analyzer provides AI-driven 5Rs recommendations and creates a migration roadmap, making the shift from legacy to cloud structured and cost-effective.
KaiSDLC
KaiSDLC (Software Development Lifecycle) automates next-generation application development and boosts productivity by up to 40% with automated SDLC artifact creation. KaiSDLC generates business requirements documents (BRDs), high-level and low-level designs (HLD/LLD), test cases, and code structures, slashing manual effort by up to 60%.
KaiMigrator
KaiMigrator migrates content from on-premises enterprise content management (ECM) systems to public cloud and Microsoft Online at 2X faster speed, supporting large-scale content migrations with automated tools and parallel workflows.
KaiTest
KaiTest generates automated test cases and reduces testing cycles by up to 40%. KaiTest automates test plan and script generation, ensuring comprehensive coverage and reducing errors in the delivery of modernized applications.
KaiCloud Optimizer
KaiCloud Optimizer is an AI-powered cloud tool that reduces cloud costs by 30%. KaiCloud Optimizer detects anomalies, forecasts usage, and recommends optimizations after applications move to the cloud, ensuring continuous cost efficiency through monitoring.
Our 4-Step, Predictable, Proven Modernization Roadmap
Datamatics follows a 4-step modernization roadmap that delivers measurable return on investment (ROI) with parallel implementation to minimize business disruption.
Legacy Modernization Consulting: Assess systems and identify transformation opportunities through application portfolio assessment, business risk assessment, and TCO analysis.
Strategy and Blueprint: Define a strategy aligned with business goals and technology priorities, including a holistic modernization plan and multi-year roadmap.
Modernization Approach: Choose the right approach based on enterprise needs — Rehost, Refactor, Re-platform, or Re-architect — using zero-downtime frameworks and CI/CD pipelines.
Managed Services: Sustain the modernized ecosystem with continuous optimization, cloud FinOps cost control, and AI-led automation.
Modernization That Delivers Measurable Business Outcomes
40% faster legacy modernization with automated SDLC artifact creation. 30% lower TCO with testing that streamlines the testing lifecycle. 30% cost savings on cloud by streamlining application portfolios and optimizing cloud spending. 0 planned downtime for eligible workloads, ensuring a seamless transition. Optimized cloud spend through continuous monitoring ensures cost efficiency.
Trusted by Global Enterprises for Complex Modernization
20% Faster Onboarding Efficiency — Logistics Enterprise
A logistics enterprise boosted customer onboarding efficiency by 20% using a modern, cloud-native tech stack that replaced fragmented legacy onboarding workflows.
2X Faster Migration of 163 TB Content — Leading Healthcare Provider
A leading healthcare provider achieved 2X faster migration of 163 TB of content using automated tools and parallel workflows, eliminating the delays that single-threaded migration approaches produce.
30% Higher Conversion in Health Insurance Sales — Insurance Leader
An insurance leader achieved a 30% improvement in health insurance sales conversion rate by optimizing the customer buying journey and delivering a seamless digital UX through modernization.
24/7 Cloud-Based Communication — Healthcare Organization
A healthcare organization built an AWS-powered application ensuring round-the-clock connectivity for patients, families, and hospital staff, replacing a legacy communication system with limited availability.
60% Boost in Proposal Efficiency & Win Ratio — Marine & Space Manufacturer
A marine and space manufacturer achieved a 60% boost in proposal efficiency and a higher win ratio by leveraging Azure-based modernization to streamline proposal management workflows.
40% Fewer Delivery Delays — North American Transporter
A North American transporter reduced delivery delays by 40% with real-time information exchange via the Linehaul mobile app, replacing a legacy shipment visibility system.
42% Performance Improvement — Global Enterprise
A global enterprise achieved a 42% performance improvement with a containerized application hosted on Azure Cloud, replacing a legacy monolith that could not scale to meet peak demand.
Why Enterprises Choose Tkxel
Tkxel brings 5 specific advantages to complex modernization engagements. Deep experience across BFSI (Banking, Financial Services, and Insurance), logistics, and manufacturing spans 20+ years. AI accelerators enable 2X faster delivery compared to manual modernization approaches. Global delivery coverage across India, US, and EMEA provides local responsiveness with enterprise scale. Industry analyst recognition validates Tkxel’ innovation and delivery excellence.
Common Use Cases We Execute
Tkxel executes 12 common legacy modernization use cases: Mainframe and monolith to cloud-native services, .NET Framework to .NET 6/7+, VB6 and Classic ASP to modern web stacks (React, Angular, .NET Core), Oracle Forms to web-based applications, AS400 and IBM i modernization, SharePoint 2010/2013 to SharePoint Online (Microsoft 365), Microsoft Dynamics NAV/AX to Dynamics 365, Lotus Notes to Microsoft 365 or Google Workspace, Windows Server 2008/2012 to Windows Server 2022 or Azure, Silverlight and Flash-based apps to HTML5 and JavaScript frameworks, thick client to Progressive Web App (PWA), and legacy ETL (Extract, Transform, Load) tools to modern data pipelines.
Legacy Transformation with Proven Results
Legacy transformation results are specific and measurable across industries. A logistics customer gained 20% faster onboarding efficiency. A healthcare provider completed 2X faster migration of 163 TB of content. An insurance leader increased sales conversion by 30%. A healthcare organization achieved 24/7 connectivity via AWS cloud communication. A marine and space manufacturer gained a 60% boost in proposal efficiency. A financial services enterprise improved field agent efficiency by 40% with real-time tracking. A North American transporter cut delivery delays by 40% through the Linehaul app. A global enterprise delivered a 42% performance improvement with containerized applications on Azure Cloud.
Legacy Modernization Use Cases
Multi-experience Development
Multi-experience development builds web and mobile applications from a single codebase, enabling faster delivery across platforms. Cross-platform development uses native device capabilities via plugins, comprehensive device testing ensures functionality across all devices, and offline capabilities provide uninterrupted user experiences in areas with limited connectivity.
Consulting
Legacy modernization consulting covers application design consulting for tailored digital solutions, platform strategy and assessments for optimal Low-Code/No-Code (LCNC) platform selection, expert-led workshops and solution prototyping, and low-code and no-code governance to ensure compliance during implementation.
Modernization & Integration
Modernization and integration services cover REST API, cloud services, and enterprise system integration, workflow automation, legacy system modernization assessment, end-to-end digital transformation services, and managed services for post-deployment support.
Development & Maintenance
Development and maintenance services cover architecture for scalable app infrastructure, full-cycle application development and integration, testing automation and quality assurance (QA), project and program management, DevOps for continuous integration and delivery, and support and maintenance for ongoing performance and stability.
AI-Powered Modernization Offerings
Legacy Modernization Consulting
Legacy Modernization Consulting covers Data & Cloud Consulting, Modernization Workshops, Business Case Development, TCO Analysis, Business Risk Assessment, Business Value Mapping, Application Compatibility Checks, Legacy Application Modernization Services, and Application Portfolio Scoring.
Modernization Engineering
Modernization Engineering applies cloud-native approaches including Rehost, Refactor, Replatform, and Rearchitect, plus API enablement, mainframe upgrades, and DevSecOps automation. The approach selects the method based on application complexity, business risk, and migration timeline.
Rich Digital Tools
Advanced tools and frameworks used in modernization engineering include ARKit and Google VR for augmented and virtual reality applications, Adobe Illustrator and Adobe After Effects for graphics and animations, Three.js (3JS) and IBM Watson for visualizations and AI integration, Microsoft Cognitive Services for intelligent features, and WebStorm with TypeScript for front-end development.
Development Platforms
Platform expertise covers Native iOS apps using Swift, native Android apps using Kotlin, cross-platform development with React Native and Flutter, hybrid application development using Xamarin and Ionic, and web applications built with React JS, Microsoft .NET, PHP, Java, and Angular.
Application and Data Modernization Solutions
Application and data modernization solutions address the full stack from application layer to data infrastructure. Data modernization moves organizations from ETL to ELT (Extract, Load, Transform), from data warehouses (DWH) to lakehouse architectures, and from batch processing to real-time streaming. Database modernization adopts open, cloud-native databases, polyglot persistence, and modern business intelligence (BI) for scalable insights.
Our Approach to Modernization
Containers and Kubernetes
Containerization packages applications and their dependencies into portable units that run consistently across environments. Kubernetes (K8s) orchestrates container deployment, scaling, and management, enabling the 42% performance improvement demonstrated by the global enterprise case study through containerized hosting on Azure Cloud.
Serverless Architecture
Serverless architecture eliminates infrastructure management by running application logic in event-triggered functions. Serverless adoption reduces operational complexity and scales automatically to handle variable workloads without pre-provisioning server capacity.
Mainframe Modernization
Mainframe modernization converts COBOL, JCL (Job Control Language), and DB2 workloads to modern languages and cloud-native databases. Approaches include converting COBOL to Java or .NET, migrating DB2 to cloud databases, replacing screen-scraping interfaces with web UIs, and shifting from batch processing to event-driven systems.
Migration
Cloud migration follows 5 Rs: Rehost (lift-and-shift to cloud infrastructure), Refactor (optimize code without changing architecture), Re-platform (move to managed cloud services with minimal code changes), Re-architect (redesign for cloud-native patterns), and Replace (substitute with a modern SaaS or commercial application). The right migration approach depends on application complexity, business risk tolerance, and target timeline.
Benefits of Application and Data Modernization
Application and data modernization delivers 6 measurable benefits: 40–60% faster development through AI accelerator automation, 30–50% lower TCO through cloud optimization and reduced maintenance overhead, zero planned downtime for eligible workloads through parallel implementation and zero-downtime frameworks, improved security posture through modern platform security controls, faster innovation cycles through CI/CD pipeline automation and DevOps practices, and improved developer productivity through modern toolchains that reduce manual effort.
Artificial Intelligence
AI transforms application modernization in 3 specific ways. Agentic AI automates code analysis, business rule extraction, test generation, and cloud workload assessment, compressing timelines that previously required months of manual work into days. Generative AI (GenAI) generates SDLC artifacts including BRDs, HLDs, LLDs, and test cases automatically, reducing documentation effort by up to 60%. AI-powered cloud optimization monitors post-migration cloud environments continuously, detecting cost anomalies and recommending adjustments that deliver 30% savings on cloud spend.
NTT DATA’s GenAI-powered application services reimagine how applications are engineered, redefine how applications are managed, and reduce technical debt faster than conventional approaches. Gartner recognizes NTT DATA for extending a culture of collaboration and co-innovation that builds market-leading products and platforms.
How Can You Get More ROI from Your Cloud Investments?
Getting more ROI from cloud investments requires 3 actions beyond initial migration. Optimize cloud workloads continuously using tools like KaiCloud Optimizer to detect anomalies and right-size resource allocation. Automate operations through AI-led managed services that reduce the manual overhead of cloud environment management. Align application architecture to cloud-native patterns so applications consume cloud resources efficiently rather than running legacy workload patterns on cloud infrastructure.
Adopting new technology alone does not achieve ROI. Organizations must also transform processes. NTT DATA’s research shows that process transformation combined with technology adoption produces maximum impact, and organizations that modernize only their infrastructure without updating their SDLC and DevOps practices realize a fraction of the available ROI.
Ignite Tomorrow Today with Generative AI
Manage Applications with Accelerated Results
GenAI-powered application management transforms application operations and reduces technical debt through automated, analytics-driven processes. Predictive maintenance services identify issues before they cause failures, reducing unplanned downtime and support costs.
Conquer Technical Debt Faster
Technical debt reduction through GenAI accelerators automates the analysis and remediation of legacy code patterns. KaiSDLC and KaiBRE automate the documentation and extraction of business logic from legacy codebases, reducing the time engineers spend understanding existing systems before modernization begins.
Streamline Your App Engineering More Efficiently
App engineering efficiency increases when AI automates repetitive tasks across the SDLC. Automated code generation, test case creation, and documentation production allow engineering teams to focus on architecture decisions and business logic rather than manual artifact creation.
Adopting New Technology Isn’t Enough to Achieve ROI
Application Management
Application management transforms application operations and reduces technical debt through automated, analytics-driven, client-centered processes with predictive maintenance services.
Application and Mainframe Modernization
Application and mainframe modernization optimizes the application environment to generate more value, reduce costs, minimize technical debt, and position the business for future capability growth.
Application Development
Application development modernizes applications, reduces technical debt, adds new features, and delivers business transformation through continuous and organic evolution services.
Product-Centric Development
Product-centric development maintains competitive advantage and achieves continuous innovation through comprehensive software delivery lifecycle (SDLC) systems.
Enterprise Applications
Enterprise applications empower businesses through configured platform services using hyper-automation, from advisory through implementation and management.
Strategy, Architecture and Portfolio Management
Strategy, architecture, and portfolio management enable operational transformation and reduce technical debt through a precise roadmap and optimized application portfolio.
Quality Engineering and Assurance
Quality engineering and assurance improves the quality and reliability of applications through AI-powered testing services that accelerate digital transformation.
Sustainable Development and Innovation
Sustainable development and innovation improves user experience and market reach through intelligent, sustainable technology solutions including low-code, AI-augmented engineering, and GenAI.
Industry Recognition
NTT DATA holds 4 major industry recognitions: Named a Leader in the IDC MarketScape for Worldwide Application Modernization Services to AWS 2024, Named a Leader in the IDC MarketScape for Worldwide Application Modernization Services to Azure 2024, Leader in 4 categories in NelsonHall’s NEAT vendor evaluation for Quality Engineering 2023, and Leader in the Everest Group Low-Code Application Development Services PEAK Matrix Assessment 2023 for OutSystems Platform.
Case Studies
Hospitality
Hilton improved the flexibility of its technologies to provide guests the digital services they expect from a modern hospitality experience.
Life Sciences
Integra LifeSciences, a leading multibillion-dollar global medical technology company, used application modernization to support rapid business growth.
Insurance
National Life Group drove customer-focused transformational initiatives while reducing unit cost across operations through structured application and mainframe modernization.
