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Highlights
- AI adoption is accelerating, but legacy systems, fragmented data, and brittle processes remain critical blockers.
- Enterprises weighed down by tech, data, and process "triple-debt" risk falling behind.
- TCS clients are using AI to cut IT operational costs and reinvest savings into transformation—without waiting for capital budget increases.
- Paying down “triple-debt” is the essential first step to scaling AI and future-proofing the enterprise.
The broad adoption of AI will significantly change the traditional gradient at which most enterprises grow and how enterprises create value in ways beyond what we can imagine. According to the 2024 TCS AI for Business Study, 86% of senior leaders are already using AI to reimagine their value chains, while 72% are using AI to improve productivity.
With broad-scale adoption of AI still in its early stages at many large enterprises, these numbers are expected to grow with tremendous speed.
Like the previous waves of technology revolution such as the internet and mobile computing, AI promises the opportunity to transform the speed and impact of innovation in every industry. Yet AI is also a double-edged sword: Even the largest of the firms that fail to fully embrace and scale AI with agility in the next 3–5 years could go extinct.
With insights from AI, the distance between data and decisions is shrinking faster than ever before. As author Eric Ries said in his book The Startup Way, “The only way to win is to learn faster than everyone else.”
What’s more, with agentic AI gathering momentum, many of today’s market leaders that reinvented themselves with the internet are now looking to reinvent themselves all over again by asking, “How can we once again completely reimagine our business operations, drive creative innovation, and turbocharge growth?”
Yet, the enthusiasm for AI is being tempered by the inevitable question, “How will companies pay for it in the near term?”
Short of receiving a generous, upfront capital budget increase, technology executives with stagnant budgets struggle to fund and scale the latest revolutionary technology until it is too late. This is especially true at large companies that have been in business for multiple decades and have accepted the inertia of legacy systems running in their “as is” state out of fear of disrupting current ways of working. This has led organizations to avoid retiring legacy systems, processes, and brittle applications—often running spaghetti code—and resulting in fragmented data silos throughout their enterprise.
This is a shaky foundation to deploy AI at scale to transform your business, since all key AI initiatives rely on enterprise data to train models, create and orchestrate AI agents, and accelerate the enterprise journey to autonomous actions. Even when funding is secured and AI is deployed for promising projects, it is often executed in piecemeal fashion with no big-picture thinking to reimagine entire value chains.
As a result, business momentum is slowed down due to decades of built-up technology, data, and process debt—collectively referred to as “triple-debt.” This widens the chasm between industry leaders on the cutting edge of AI adoption and laggards who are not--impacting their growth and innovation.
The good news is that AI has already halved the cost and time needed to pay down decades of debilitating enterprise triple-debt. Benchmarking your organization against the industry leaders on the right IT cost-to-serve approach will help you free up more than adequate savings to pay for deployment of AI initiatives at scale. Using this self-funding model, TCS clients are doing just that by harvesting considerable savings on operational costs—“keeping the IT lights on”—and investing these savings back to continuously transform business operations as they go.
In the age of AI, business transformation should pay for itself. Learn more by reading this paper that explores strategies for paying down enterprise triple-debt as the first step to harnessing the full potential of AI in your enterprise.
About the author
Image of Sushant Tripathi
Sushant Tripathi
Sushant Tripathi leads TCS’ tech and digital transformation, AI/GenAI, data, and cybersecurity work in North America, helping leading enterprises across industries accelerate business value from their technology investments. Collaborating with CTOs, CDOs, CIOs, and business unit heads, he creates execution-ready blueprints and roadmaps for multi-year, technology-led business transformation and digital transformation journeys.
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