Hyderabad, India: Global quality engineering and software testing company TestingXperts has inaugurated a new AI Delivery Centre in Hyderabad, marking a significant step in its strategy to expand AI-led quality engineering services and support the growing demand for intelligent software testing solutions.

The new centre is designed to accelerate the adoption of Artificial Intelligence (AI), Generative AI (GenAI), and intelligent automation across enterprise testing engagements. It will serve as a global hub for developing next-generation testing frameworks that help organizations improve software quality while reducing delivery timelines.

Strengthening AI-Powered Quality Engineering

The Hyderabad AI Delivery Centre will focus on building advanced capabilities in AI-driven test automation, predictive quality engineering, autonomous testing, and intelligent test management. The facility will enable TestingXperts to deliver scalable, technology-enabled testing services for enterprises undergoing digital transformation.

By integrating AI into software quality assurance, the company aims to improve testing accuracy, accelerate release cycles, and enhance customer experiences across industries.

Hyderabad Reinforces Its Position as an AI Innovation Hub

The decision to establish the new delivery centre in Hyderabad highlights the city’s growing importance as a destination for AI innovation and Global Capability Centre (GCC) investments. With access to a highly skilled technology workforce, world-class infrastructure, and a thriving digital ecosystem, Hyderabad continues to attract global organizations expanding their engineering and AI operations.

The new centre is expected to support clients across multiple sectors, including banking, financial services, insurance, healthcare, retail, telecommunications, manufacturing, and technology.

Expanding Global Delivery Capabilities

The AI Delivery Centre will strengthen TestingXperts’ global delivery model by bringing together specialists in artificial intelligence, data engineering, cloud technologies, automation, and quality engineering. The company plans to leverage these capabilities to help enterprises modernize legacy testing processes and accelerate AI adoption across software development lifecycles.

The centre will also support research and innovation initiatives focused on developing proprietary AI-powered testing accelerators and automation platforms.

Supporting Enterprise Digital Transformation

As organizations increasingly embrace cloud-native applications, digital platforms, and AI-driven business models, software quality has become a critical business priority. Traditional testing approaches are no longer sufficient to meet the speed and complexity of modern application development.

TestingXperts’ investment reflects the industry’s broader shift toward AI-first quality engineering, where intelligent automation, predictive analytics, and machine learning are transforming how software is validated and deployed.

India’s Growing Role in AI-Led GCC Expansion

India continues to strengthen its position as a global hub for AI, engineering, and digital transformation. Companies are increasingly investing in specialized delivery centres that go beyond traditional IT services to focus on innovation, product engineering, and enterprise AI.

TestingXperts’ latest expansion reinforces this trend, demonstrating how organizations are leveraging India’s talent ecosystem to build advanced capabilities that support global customers.

Looking Ahead

The launch of the AI Delivery Centre in Hyderabad represents an important milestone in TestingXperts’ growth strategy. By investing in AI-powered quality engineering and intelligent automation, the company is positioning itself to help enterprises deliver faster, more reliable, and higher-quality digital products.

As demand for AI-enabled software testing continues to rise, the new centre is expected to play a pivotal role in driving innovation, accelerating digital transformation, and strengthening TestingXperts’ global delivery capabilities.

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As artificial intelligence reshapes industries worldwide, Global Capability Centres (GCCs) are entering a new era. No longer viewed as cost-efficient delivery hubs, today’s GCCs are evolving into AI-native innovation centres that drive enterprise-wide transformation. Success in this new landscape depends not only on technology investments but also on developing the right talent, leadership, and organizational capabilities.

The Rise of the AI-Native GCC

The Global Capability Centre ecosystem has undergone remarkable transformation over the past decade. What started as centralized support organizations focused on IT, finance, and business process services has evolved into strategic innovation hubs responsible for product engineering, research, cybersecurity, digital platforms, analytics, and enterprise transformation.

Artificial Intelligence is now accelerating this evolution.

Rather than simply adopting AI tools, leading organizations are redesigning their GCCs to become AI-native enterprises, where AI is embedded into decision-making, operations, product development, customer engagement, and business strategy.

This represents a fundamental shift.

The future GCC will not be measured by the number of employees it manages but by the intelligence it creates, the automation it delivers, and the business value it generates.

Why AI is Changing the GCC Operating Model

Generative AI, Large Language Models (LLMs), intelligent automation, and AI-powered analytics are changing how global organizations operate.

Across industries, AI is helping enterprises:

• Accelerate software development
• Improve customer experience
• Enhance risk management
• Automate repetitive processes
• Increase workforce productivity
• Improve knowledge management
• Support data-driven decision making

As enterprise adoption accelerates, GCCs are becoming the natural home for building, testing, governing, and scaling these capabilities globally.

Instead of supporting transformation initiatives, GCCs are increasingly leading them.

From Delivery Centres to Intelligence Centres

Traditional GCC success metrics focused on:

• Cost optimization
• Process efficiency
• SLA performance
• Resource utilization

The AI era introduces an entirely different set of priorities.

Modern AI-native GCCs focus on:

• Business innovation
• AI product development
• Digital platforms
• Enterprise automation
• Data engineering
• Responsible AI governance
• Continuous experimentation
• Faster product delivery
• Cross-functional collaboration

The centre becomes an innovation engine rather than merely an execution centre.

Skills Are Becoming the Biggest Competitive Advantage

Technology can be purchased.

Cloud infrastructure can be rented.

AI models can be licensed.

Talent cannot.

Organizations increasingly recognize that AI transformation depends far more on people than on algorithms.

The most successful GCCs are investing heavily in workforce capability development rather than simply recruiting AI specialists.

Building an AI-native workforce requires reskilling existing employees while preparing future talent for entirely new ways of working.

The Most Critical Skills for AI-Native GCCs

1. AI Literacy Across the Organization

Not every employee needs to become an AI engineer.

However, everyone needs to understand:

• What AI can do
• What AI cannot do
• Where AI creates value
• AI risks
• Responsible AI usage
• Prompt engineering basics
• AI-assisted workflows

AI literacy is becoming as fundamental as digital literacy.

2. Data Skills

AI is only as effective as the data behind it.

Future GCC professionals need expertise in:

• Data engineering
• Data governance
• Data quality
• Data pipelines
• Data visualization
• Data architecture
• Data security

Organizations with mature data capabilities will outperform those that merely deploy AI tools.

3. Machine Learning Engineering

As enterprises develop proprietary AI solutions, demand continues to grow for professionals skilled in:

• Machine learning
• Deep learning
• Neural networks
• Model deployment
• Model monitoring
• Feature engineering
• AI optimization

These skills enable GCCs to move beyond AI adoption toward AI creation.

4. Cloud and AI Infrastructure

AI workloads require scalable computing environments.

Future teams must understand:

• Cloud-native architecture
• GPU infrastructure
• Kubernetes
• MLOps
• Containerization
• DevOps automation
• AI deployment pipelines

Cloud and AI are becoming inseparable.

5. Cybersecurity for AI

As AI adoption increases, new security risks emerge.

Future GCC security teams must understand:

• AI security
• Model attacks
• Data poisoning
• Prompt injection
• Identity protection
• AI governance
• Regulatory compliance

Responsible AI begins with secure AI.

6. Human-Centered Design

AI systems must solve real business problems.

This requires professionals who understand:

• Design thinking
• User research
• Customer experience
• Product strategy
• Human-AI collaboration

Technical excellence alone no longer guarantees success.

7. Business Understanding

Perhaps the biggest shift is that AI specialists must increasingly understand business.

The future workforce combines technical depth with domain expertise in:

• Banking
• Healthcare
• Manufacturing
• Retail
• Insurance
• Supply chain
• Financial services

The combination of AI expertise and business knowledge creates significantly greater enterprise value.

Leadership Must Also Evolve

The AI revolution is changing leadership expectations.

Future GCC leaders will require capabilities beyond operational excellence.

Key leadership competencies include:

• AI strategy
• Change management
• Innovation leadership
• Digital transformation
• Ecosystem collaboration
• Talent development
• Ethical AI governance
• Cross-functional execution

Leadership is shifting from managing people to enabling intelligent organizations.

Continuous Learning Will Become Mandatory

Unlike previous technology waves, AI evolves at extraordinary speed.

Skills acquired today may require updating within months.

Organizations therefore need continuous learning ecosystems that include:

• AI academies
• Internal certifications
• Hands-on experimentation
• Hackathons
• Innovation labs
• Industry partnerships
• University collaborations
• Peer learning communities

Learning is becoming a permanent business capability rather than an occasional HR initiative.

Responsible AI Will Be a Core Capability

As AI becomes integrated into enterprise decision-making, organizations face increasing regulatory and ethical expectations.

Future-ready GCCs must establish governance frameworks covering:

• AI transparency
• Bias detection
• Explainability
• Privacy protection
• Intellectual property
• Regulatory compliance
• Model monitoring
• Human oversight

Responsible AI is rapidly becoming a board-level priority.

Building an AI-First Culture

Technology implementation alone cannot create an AI-native organization.

Culture plays a decisive role.

Successful GCCs encourage:

• Experimentation
• Curiosity
• Knowledge sharing
• Cross-functional collaboration
• Rapid prototyping
• Innovation at every level
• Data-driven decision making

Employees must feel empowered to use AI responsibly rather than fear it.

Organizations that build trust alongside technology adoption are more likely to achieve sustainable transformation.

India’s Opportunity to Lead

India’s GCC ecosystem is uniquely positioned to lead the global AI transformation.

With over 1,800 GCCs, a deep technology talent pool, world-class engineering expertise, and a rapidly growing AI ecosystem, the country has become a strategic destination for enterprise innovation.

Global organizations are increasingly assigning India-based teams responsibility for:

• Enterprise AI platforms
• Intelligent automation
• AI product engineering
• Digital transformation
• Advanced analytics
• Responsible AI governance
• Research and innovation

This marks a significant shift from execution-focused work toward strategic ownership of global AI initiatives.

The Road Ahead

The future of Global Capability Centres will not be defined solely by the technologies they adopt but by the capabilities they cultivate.

AI-native GCCs will combine advanced technologies with continuous learning, responsible governance, strong leadership, and multidisciplinary talent to deliver long-term business value.

Organizations that invest in AI skills today will be better positioned to accelerate innovation, improve productivity, and strengthen their competitive advantage in an increasingly intelligent enterprise landscape.

As AI continues to reshape the global business environment, GCCs have the opportunity to become more than operational hubs—they can emerge as the innovation engines that power the next generation of digital enterprises.

Global enterprises are no longer viewing Global Capability Centers (GCCs) as just operational backbones—they are now becoming strategic engines for innovation. Reinforcing this shift, Progress Software has announced the expansion of its footprint in Bengaluru with a new Global Capability Center (GCC) focused on advancing AI-driven operations.

This move underscores a growing trend: multinational companies are increasingly leveraging India’s deep technology talent pool to accelerate digital transformation initiatives.

Strengthening AI-Led Operations

The new GCC will play a critical role in enhancing Progress Software’s artificial intelligence (AI) capabilities. Rather than functioning as a traditional support center, the Bengaluru hub is designed to lead innovation across areas such as:

• AI-powered product development
• Cloud-based enterprise solutions
• Data engineering and analytics
• Automation and intelligent workflows

By embedding AI at the core of its operations, Progress Software is aiming to deliver faster, smarter, and more scalable solutions to its global customer base.

Why Bengaluru Continues to Attract Global GCC Investments

Bengaluru has firmly established itself as a global GCC hotspot. The city offers a unique combination of:

• Highly skilled engineering and AI talent
• Mature startup and innovation ecosystem
• Strong infrastructure for global operations
• Proven track record in delivering high-value R&D

For companies like Progress Software, setting up or expanding a GCC in Bengaluru is not just about cost efficiency—it’s about accessing innovation at scale.

GCCs Evolving into Innovation Hubs

The expansion of Progress Software’s GCC reflects a broader industry evolution. Today’s GCCs are:

• Driving product innovation rather than just supporting it
• Leading AI and digital transformation initiatives
• Acting as strategic extensions of global headquarters
• Contributing directly to revenue and business growth

This transition marks a shift from “offshore delivery centers” to “global innovation hubs.”

Talent as the Core Differentiator

At the heart of this expansion is talent. The Bengaluru GCC will bring together engineers, data scientists, and AI specialists to collaborate on next-generation solutions.

The focus is not just on hiring—but on building high-performance teams that can:

• Experiment with emerging technologies
• Scale AI use cases across business functions
• Deliver measurable business outcomes

What This Means for the Future of GCCs

Progress Software’s investment signals a clear direction for the future:

• AI will be central to GCC strategies
• India will remain a key global innovation destination
• GCCs will continue to move up the value chain
• Enterprises will rely on GCCs for competitive advantage

As more organizations follow this model, GCCs will increasingly become the driving force behind enterprise transformation.

Conclusion

The launch of Progress Software’s new GCC in Bengaluru is more than an expansion—it’s a strategic move toward AI-first operations and global innovation.

For the GCC ecosystem, this is another strong validation that the future lies in intelligence, agility, and innovation-driven delivery models.