Indian technology services provider Mphasis has launched an artificial intelligence platform designed to help enterprises modernise ageing IT infrastructure whilst automating complex operational decisions.
The Bangalore-based company's NeoIP system combines multiple AI capabilities from its Mphasis.ai portfolio into a unified platform intended to enable what the firm describes as "continuous transformation" rather than one-off modernisation projects.
At its core, NeoIP creates what Mphasis terms an "interconnected layer of enterprise understanding" that unifies data, systems and processes across organisations. This foundation aims to allow businesses to progressively optimise IT and operational frameworks by making institutional knowledge machine-readable and actionable.
The platform enables automation of intricate decisions, anticipates potential issues before they materialise, and purportedly fosters sustained innovation throughout business operations—addressing a longstanding challenge where transformation initiatives deliver temporary improvements before systems ossify again.
Mphasis positions NeoIP as empowering chief information officers and business leaders to integrate intelligence earlier in software development and operational lifecycles, building what it characterises as "self-healing" systems that adapt and enhance performance over time without constant manual intervention.
The company claims the platform combines ongoing business intelligence with AI-assisted implementation, ensuring continuous learning with each new initiative. It cultivates an environment where artificial intelligence and human teams collaborate to plan, build and manage organisational change—at least in theory.
Such promises echo broader industry rhetoric around AI-enabled transformation, though practical results often prove more modest than vendor marketing suggests. Legacy system modernisation remains notoriously challenging, with many enterprises struggling to extract value from AI investments amidst technical complexity, organisational resistance and integration difficulties.
Mphasis competes in the crowded enterprise AI services market alongside larger Indian rivals including Tata Consultancy Services, Infosys and Wipro, all of which offer similar transformation platforms combining automation, machine learning and data analytics capabilities.
The launch arrives as enterprises worldwide grapple with ageing IT infrastructure requiring modernisation whilst simultaneously facing pressure to adopt artificial intelligence capabilities. Many organisations find themselves trapped between maintaining legacy systems critical to current operations and investing in newer technologies promising future competitive advantage.
Whether NeoIP delivers on its ambitious vision of continuous, intelligent transformation will depend on practical implementation across diverse enterprise environments—a test that many AI platforms promising similar capabilities have yet to conclusively pass.
Mphasis has not disclosed pricing details or identified specific client deployments of the new platform.
