Outdated Systems, Outpaced Business: Why Modernisation Is Urgent

For large legacy organisations, AI-driven legacy modernisation is not an optional upgrade, but a critical strategic shift. The upsides of doing so are clear: from unlocking new revenue streams and cutting down risk exposure to staying competitive in an AI-first economy.

However, conversations around legacy modernisation within large corporations are often flawed, with the benefits and risks frequently not clearly articulated at the leadership level, including among the board.

The reality is that many blue-chip brands, despite having access to more technology than ever, remain burdened by massive legacy systems. In fact, communicating why it's essential to invest in legacy modernisation can become a job in itself. Even when the long-term value is clear, resistance to change — driven by different reasons, such as risk aversion or inertia — can stall progress. That’s why making a strong business case is just as important as the technology itself.

There are ways to communicate the transformative business value of AI-driven legacy modernisation — and not just the technical benefits — that will help leadership and decision makers see its merits. Let's take a closer look at how to present a compelling version for proactive investment in this technology.

Modernisation fatigue

In large organisations, it's common for technology systems to have been built up slowly over time through many small decisions, rather than a single major investment and implementation drive. As a result, boards often view legacy systems as "stable" and modernisation as inherently risky, expensive, and disruptive. In addition, they've likely seen previous modernisation efforts that dragged on or failed to deliver promised returns.

Any attempt to convince decision-makers of the need for change has to address this so-called "modernisation fatigue" head-on. It's important to frame modernisation not as an IT-specific concern, but rather a risk mitigation strategy for the entire company. The true risk, you need to argue, lies not in investing something new, but rather the vulnerabilities associated with clinging to outdated systems.

In fact, we’re seeing the use of AI accelerate rapidly among large enterprises - but not necessarily the return and the scale of it. According to recent research from S&P Global, 85% of major organisations have already allocated budget to AI initiatives, and 57% plan to increase that investment over the next year. This sharp upward trend underscores the urgency for late movers to make a strategic and organised move towards scale, as standing still in an AI-first economy is no longer a safe option.

Deferred modernisation leads to accelerating technical debt, which can slow down innovation and agility as it accrues. It also leads to exacerbated security and compliance risks, because legacy systems are prime targets for cyberattacks and struggle to meet evolving regulatory demands. And finally, there can be a talent drain, as top tech talent is less likely to want to work in companies using outdated systems.

The innovation dividend

Once leaders understand the real risk of inaction, the focus can shift to what’s possible when you move forward.

Every C-Suite executive wants to boost the productivity of their workers. And AI-powered modernisation has the ability to do just that — plus a lot more. With CI&T’s product FLOW, a leading UK telecoms company saw 5x faster delivery compared to industry benchmarks (12 versus 15 months). In another case study, a leading food outlet saw six hours of work done in less than one minute, supercharging productivity.

But the gains don’t stop there. This enhanced productivity has the potential to jumpstart new capabilities within the company that were once ignored. Call it the innovation dividend: Modernisation leads to heightened efficiency, which boosts productivity, which in turn drives innovation.

In addition, by significantly reducing the IT spend on legacy maintenance, organisations can reallocate capital and talent towards R&D, new product development, market expansion, and customer experience initiatives.

That is precisely the value-add that’s essential to communicate. Decision-makers must recognise that AI has moved beyond being simply a tool for improving efficiency. It has become a powerful catalyst for innovation and creativity within the workforce, unlocking entirely new avenues for business value through digital products, services, and business models that were once impossible.

Back to the bottom line

At the end of the day, these decisions almost always come down to cost. So the last step to convince wary decision makers about the essential nature of AI-enabled modernisation is to return once again to the bottom line.

For example, using CI&T’s proprietary AI platform CI&T FLOW, the company Mitsui Sumitomo (which is part of the largest insurance group in Asia) saw an astonishing cost saving of $1 million per year by dramatically reducing annual licensing costs that were involved in their quotation process.

CI&T’s work with one of Latin America's largest banks, with over US$500 billion in assets, offers a glimpse of what's possible. Initially facing an eight-year backlog caused by the friction between innovation efforts and legacy systems, the bank was able to reduce that to just three years through our targeted modernisation. By lessening reliance on legacy expertise and accelerating the adoption of new technologies, the organisation gained significant agility and operational efficiency.

If this level of transformation is possible in banking — one of the most complex and heavily regulated industries — it shows what other sectors can achieve too. A clear example of the innovation dividend in action.

Examples like this one can be helpful in reframing how your leadership thinks about the very role of IT in their company. Where once it was a cost centre, it now needs to be thought of as a strategic value driver. As a report from Korn Ferry put it, “CIOs are now key players in driving innovation and business growth, not just keeping things running. To succeed, they need to make sure technology supports the company’s goals, focusing on growth through better customer experiences, new products, and improved processes.”

Finally, it always helps to emphasise and highlight use cases with a very clear ROI. If you can draw attention to modernisation initiatives that align directly with current key business objectives — such as customer experience, supply chain optimisation, new product launches — and have measurable KPIs in the short to medium term, you’ll likely get more buy-in.

Learn more about our legacy modernisation expertise — powered by our AI enterprise tool, CI&T FLOW — and it empowers teams to modernise faster, collaborate smarter, and innovate at scale.

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