TCS Unveils GenAI Agentic – In a major step toward AI-driven enterprise transformation, Tata Consultancy Services (TCS) has unveiled its latest innovation: GenAI Agentic, an enhancement to its MasterCraft™ platform. This cutting-edge solution integrates Generative AI (GenAI) and Agentic AI to help organizations modernize legacy systems — the outdated but mission-critical applications still powering many large businesses.
Legacy systems often act as the digital backbone of institutions in sectors like banking, insurance, healthcare, and government. But these systems are also notoriously rigid, costly to maintain, and difficult to integrate with newer technologies. That’s where TCS’s GenAI Agentic solution steps in — automating and accelerating the transition to modern, agile IT systems.
TCS Unveils GenAI Agentic
| Feature | Details |
|---|---|
| Product Name | GenAI Agentic (Part of TCS MasterCraft™) |
| Purpose | Automates and accelerates modernization of legacy systems |
| Key Technologies | Generative AI, Agentic AI |
| Efficiency Gains | Up to 70% cost reduction and 2x faster modernization |
| Notable Use Case | Major North American bank tripled modernization speed |
| Official Link | TCS Press Release |
TCS’s launch of GenAI Agentic marks a pivotal moment in enterprise IT modernization. By fusing Generative AI with Agentic AI, this solution empowers businesses to transform outdated, costly systems into fast, flexible digital architectures. With automation, accuracy, and speed on its side, GenAI Agentic is set to become a vital tool for businesses navigating the demands of the digital age.
For companies stuck with rigid legacy systems, this is more than just a tech upgrade — it’s a business survival strategy.
What Is GenAI Agentic?
GenAI Agentic is a next-generation enterprise tool that combines the creative and analytical power of Generative AI with the decision-making capabilities of Agentic AI.
Generative AI (GenAI) helps automatically extract business logic from old, complex code.
Agentic AI allows autonomous agents to take intelligent actions with minimal human input, helping to automate tasks like code refactoring, documentation, and testing.
This unique combination gives organizations the power to transform their decades-old IT infrastructure into cloud-ready, scalable, and secure systems — quickly and efficiently.
Why Modernize Legacy Systems?
Many Fortune 500 companies still rely on mainframe applications written in COBOL, Fortran, or other outdated languages. These systems:
- Are expensive to maintain
- Lack flexibility
- Pose security risks
- Are incompatible with cloud-native services
However, these systems also store critical business logic and data. TCS’s GenAI Agentic helps extract, translate, and re-architect this knowledge into modern platforms without disrupting ongoing operations.
How Does GenAI Agentic Work?
Let’s break down how this works in practical steps:
1. Discovery and Analysis
GenAI scans the entire legacy codebase, analyzing how the system functions. It identifies interdependencies, unused code, and business-critical modules.
2. Business Logic Extraction
Using natural language processing, the AI can convert code into plain English descriptions, making it easier for teams to understand the purpose of each function or module.
3. Refactoring and Code Generation
Agentic AI agents then automatically generate new code in modern languages like Java, Python, or C#. This code is cleaner, modular, and ready for cloud deployment.
4. Testing and Validation
AI-based testing frameworks simulate various scenarios to validate the accuracy and stability of the new system.
5. Deployment and Optimization
Finally, the modernized system is deployed to the cloud or hybrid environments, with continuous optimization performed using AI feedback loops.
Real-World Success: A North American Bank
TCS reported that one of its major clients, a leading North American bank, used GenAI Agentic to modernize its mainframe systems.
- Result: Modernization was completed 3x faster than traditional approaches.
- Productivity: The IT team saw a 200% increase in productivity.
- Cost Savings: Estimated over 70% in cost reductions, thanks to reduced manual labor and faster turnaround times.
This real-world example shows how TCS’s technology can deliver tangible business value.
Advantages of GenAI Agentic
Smart Automation
- Eliminates repetitive tasks like documentation and code reviews.
- Reduces human error.
Scalable Architecture
- Enables microservices and API-based architecture for better integration.
Lower Costs
- Saves up to 70% in transformation budgets by shortening timelines and reducing resource needs.
Continuous Modernization
- Supports ongoing enhancements even after initial modernization.
Improved Compliance
- Provides built-in checks for regulatory and security compliance.
Who Can Benefit From This?
The following industries stand to gain the most:
- Banking & Financial Services — Core banking, payment systems, fraud detection.
- Insurance — Claims processing, risk analysis.
- Healthcare — Patient data systems, billing, compliance.
- Government — Tax, welfare, and identity management systems.
- Telecom — Network configuration, billing engines.
Basically, any organization using outdated mainframes or monolithic software can streamline operations and reduce technical debt.
A Look at the Broader Trend: AI in IT Modernization
TCS is not alone in exploring AI for legacy modernization. Other big players like IBM, Infosys, and Accenture are also leveraging AI-powered platforms to help clients shift to cloud and digital.
However, TCS is among the first to combine GenAI with Agentic AI in a productized, enterprise-ready solution. This integration is what allows TCS to not just recommend code but autonomously execute transformation steps.
Practical Advice for Enterprises
If you’re a business leader, CIO, or IT decision-maker, here’s how you can prepare to adopt a solution like GenAI Agentic:
- Audit Your Legacy Systems — Identify applications that are costly or difficult to maintain.
- Define Modernization Goals — Do you want to move to the cloud, improve performance, or reduce cost?
- Engage with Experts — Work with solution architects from TCS or similar vendors to understand feasibility.
- Start with a Pilot — Choose one core module to test the process before scaling up.
- Plan for Change Management — Train your staff on modern systems and practices.
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FAQs about TCS Unveils GenAI Agentic
What is Agentic AI, and how is it different from Generative AI?
Agentic AI enables AI agents to make decisions and perform tasks autonomously. Generative AI creates content like code, text, or images based on input. TCS combines both to enhance automation.
Is this solution only for large enterprises?
No, even mid-sized organizations with complex systems can benefit from GenAI Agentic.
Do I need to completely shut down my legacy system during the transition?
Not at all. TCS’s process supports parallel modernization, ensuring zero disruption to existing services.
How long does the modernization process take?
Timelines vary, but GenAI Agentic can often cut project duration in half compared to manual methods.
Is the solution secure and compliant with data regulations?
Yes. TCS follows industry-standard security and compliance protocols, including ISO, GDPR, and financial compliance standards.
