TCS
The industry-specific innovation layer integrates AI, Gen AI and analytics to drive differentiation, resilience and adaptability.
This structured approach empowers enterprises to run lean, keep their core clean, and shift differentiating solutions to the edge – ensuring continuous evolution in an increasingly dynamic industry landscape.
With TCS Crystallus™ and SAP S / 4HANA, enterprises are not just transforming; they are future-proofing their business models for the digital / AI-first era.
Building an agile, future-ready enterprise“ In an era of continuous disruption, enterprises must strike a balance between standardisation and differentiation to remain competitive,” Prashant points out.
A rigid, heavily customised ERP limits agility, making upgrades costly and innovation slow.
To overcome this, organisations are embracing a strategy that keeps the core ERP standardised and adaptable while extending differentiation to the edge through modular, cloud-based applications leveraging composable architecture.
The clean core philosophy ensures that enterprises can upgrade seamlessly, reduce technical debt and accelerate innovation without compromising flexibility.
“ By decoupling core processes from differentiating capabilities, companies can respond faster to market shifts, integrate emerging technologies like AI and GenAI, and continuously evolve their business models.”
“Success requires collaboration and to integrate seamlessly to create frictionless workflows”
PRASHANT SHIRGUR, GLOBAL HEAD OF ENTERPRISE SOLUTIONS FOR TECHNOLOGY, SOFTWARE AND SERVICES INDUSTRY, TATA CONSULTANCY SERVICES
Prashant says, With TCS Crystallus™ and SAP S / 4HANA, businesses are not just modernising their technology – they are creating an agile foundation for sustained growth and competitive advantage in a digital-first world.
Gen AI is driving the autonomous enterprise vision. Looking to the future, Prashant articulates a vision of the“ autonomous enterprise” – a concept that sits at the heart of TCS’ strategy.
“ TCS envisions an autonomous enterprise powered by a combination of AI, cloud and analytics that ensures frictionless operations,” he explains.
The journey toward autonomy involves integrating Gen AI and agentic AI, where intelligent systems make decisions and execute workflows with minimal human intervention.
Unlike traditional, rule-based AI, these advanced models process context and data to make nuanced decisions.
206 May 2025