Unlocking Smarter Application Modernization with GenAI-led Capabilities
Legacy application estates often face significant knowledge gaps, with limited visibility into how systems were built, interconnected and evolved over time. Outdated architectures and hidden dependencies continue to slow transformation efforts.
HCLTech’s Application Modernization Services redefines how enterprises approach legacy transformation by shifting focus from isolated system changes to structured, intelligence-led reinvention of the application estate. Leveraging GenAI and Agentic AI, it brings clarity to legacy environments and enables modernization decisions to be driven by context rather than assumptions.
Our approach helps organizations navigate their modernization journey by uncovering application interdependencies, prioritizing transformation pathways and aligning technology evolution with business priorities.
Engineering Modernization Pathways for an Agile Application Future
Application modernization today demands more than isolated upgrades. It requires a connected, intelligence-led approach that brings together discovery, decisioning and execution into a single, continuous lifecycle.
HCLTech’s AI-driven approach integrates portfolio intelligence, technical debt optimization and modernization strategies to help enterprises achieve future-ready architectures. With context engineering and AI-led insights, organizations can make faster, more confident decisions while minimizing the risk.
Enabled by our AI Force 2.0, this approach enables continuous application modernization through AI-led insights. It helps organizations accelerate transformation, improve resilience and build a digital core aligned to evolving business needs.
Composable and extensible modernization
Adopt a modular, flexible approach to app modernization that enables incremental transformation, seamless integration and adaptability across evolving business needs
Cloud-aligned transformation
Accelerate transition to cloud native environments with scalable, resilient and cost-efficient application modernization pathways
AI-enabled digital core
Transform legacy systems into a secure, scalable digital core using AI-driven refactoring and intelligent automation, while ensuring business continuity
Context engineering
Leverage deep system and dependency insights to enable precise decision-making, reduce risk and improve application modernization outcomes
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Reimagining Legacy Environments through AI-driven Modernization
AI-driven application portfolio lifecycle management
Leverage AI to build a real-time, enterprise-aligned application portfolio with end-to-end visibility. Automate lifecycle assessments to evaluate performance, cost and relevance at scale, while proactively identifying decommissioning opportunities to reduce duplication and optimize spend.
AI-driven technical debt management
Move from reactive fixes to AI-led technical debt management. Continuously identify and quantify the technical debt across the estate, prioritized by business impact. Accelerate technical debt remediation to improve application stability, performance and reduce long-term costs.
AI-driven legacy app modernization
Re-imagine legacy applications with AI-driven modernization that transforms the digital core, optimizes architectures for AI readiness, modernizes user interfaces and prepares systems for future workloads. Streamline transitions with logical and application decommissioning while preserving critical data and dependencies.
AI-driven mainframe and midrange modernization
Modernize mainframe and midrange systems with AI-led discovery, documentation and process mapping. Enable in-place transformation through DevSecOps and API-fication while strengthening ADSM and product engineering. Support scalable modernization with consulting and rehosting.
HCLTech AI Force for Application Modernization
AI Force.Software.Mod is an end-to-end platform that leverages GenAI and Agentic AI to turn fragmented legacy systems into a continuous, automated application modernization lifecycle. It provides deep visibility into application landscapes, dependencies and code structures to enable faster, evidence-based modernization decisions.
With built-in governance, security and Responsible AI principles, AI Force.Software.Mod ensures modernization at scale that is faster, controlled and business-aligned.
faster modernization
reduced costs
increased productivity
Success Stories
Scaling operations through Azure migration delivered 60% faster deployments in 14 months
Microservices and real-time analytics fuel innovation for Australian banking customers
Merck - a global multinational pharmaceutical company headquartered in the US.
Modernizing application codes for more efficient and cost-effective maintenance, better performance and higher uptime.
Thoughts and Insights
Data-driven Transformation
As loyalty shifts from products to experiences, data has become a core aspect to provide scale and context for personalized customer experiences, which is the ultimate goal of digital transformation.
Beyond the GenAI hype: Building a foundation that actually works
As high-quality, proprietary data is crucial for effective GenAI solutions, a comprehensive approach to data operations is essential for generating trustworthy insights.
Cloud Evolution: Mandate to Modernize
The report, based on research with 532 global executives, reveals how businesses are modernizing cloud infrastructure, using cloud native architectures and adopting platform engineering for automation
Analyst Recognition
Recognized as a Leader in IDC MarketScape for Worldwide Application Modernization Services 2023 Vendor Assessment
Learn more
Frequently Asked Questions
HCLTech’s application modernization services are end-to-end, AI-driven offerings that transform legacy and fragmented systems into scalable, cloud native, AI-ready architectures. They span application portfolio management, legacy and mainframe modernization, cloud native transformation and GenAIenabled engineering.
HCLTech enables cloud native application modernization through a structured, cloud-first approach that focuses on scalability, resilience and agility. It leverages a migration factory model to accelerate and industrialize application migration across environments. With strong partnerships across AWS, Google Cloud, IBM and Oracle, HCLTech supports seamless modernization across multicloud ecosystems. This approach ensures controlled migration with optimized costs, reduced risk and consistent governance throughout the transformation journey.
Yes, HCLTech provides end-to-end application modernization and migration services across cloud, hybrid and multicloud environments. This includes platform selection, containerization, dependency and cost management and structured migration execution. It also supports mainframe and midrange modernization through AI-led discovery, rehosting and API integration for scalable, future-ready systems.
Application portfolio and lifecycle management involves discovering, analyzing and managing the entire application landscape to ensure visibility, efficiency and business alignment. It enables prioritization, rationalization and roadmap planning based on application value, cost and performance. This helps enterprises optimize investments and make informed modernization decisions.
HCLTech addresses key application modernization challenges such as technical debt and legacy system knowledge gap. It helps organizations overcome skills shortages and the complexity of large-scale migration initiatives. Through structured assessment and roadmap definition, HCLTech enables enterprises to prioritize workloads, reduce risk and plan modernization in a controlled, outcome-driven manner.
Yes, HCLTech modernizes mainframe and midrange systems through a secure, low-risk and AI-led transformation approach. It combines discovery, documentation and process mapping to build a clear modernization roadmap aligned with business priorities. The approach supports in-place transformation, rehosting and API enablement, ensuring minimal disruption to existing operations. Strong governance and change management ensure stability and smooth modernization outcomes.
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