AI-Powered Business Evolution

Legacy systems are dragging businesses down — but Generative AI offers a way forward. In this episode, we explore how AI accelerates modernisation, cuts costs, and drives innovation. Learn how leading organisations are using AI to reduce operational expenses, speed up product launches, and future-proof their systems. Discover practical strategies for aligning technology, talent, and processes to stay ahead in a rapidly evolving market. Tune in and start leading your organisation’s transformation journey today.

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Transcript

The Technology Debt Spiral

Imagine your organisation as a powerful ocean-going vessel, cutting through the waves, built for speed and agility. But beneath the surface, a massive rusted anchor is dragging, slowing you down with every mile.

That anchor? It’s your legacy technology. Here’s a number that puts this into perspective: Seventy percent of Fortune 500 software was developed over 20 years ago. Let that sink in. The core systems running some of the world’s largest businesses were built before the smartphone revolution, social media, cloud computing, or AI. These aren’t just aging systems. They are active obstacles—holding businesses back, making them slower, less innovative, and more expensive to run. And every year they remain in place, competitors who have embraced modern technology pull further ahead.

Generative AI: The Modernisation Accelerator

The problem with legacy systems isn’t just that they’re old—it’s what they cost. First, they kill innovation. If your core systems are outdated and rigid, launching new digital services is like trying to build a skyscraper on a crumbling foundation. Second, they drain IT budgets. Some companies spend up to 70% of their IT budget just keeping old systems running—leaving almost nothing for actual innovation. And then there’s compliance and security. Every year, regulations evolve, and legacy systems struggle to keep up. What starts as a manageable challenge turns into a high-stakes liability.

A global financial institution faced exactly this issue. Their core banking platform—a patchwork of systems built over decades—was consuming 60% of their IT budget just for maintenance and compliance. They were running a modern, digital-first business on technology designed in the 1980s. But when they introduced AI-powered modernisation, things changed. Operational costs dropped by 35%. New digital banking products launched 50% faster. Security risks were significantly reduced. This isn’t just about efficiency—it’s about survival.

The Multiagent Ecosystem

This is where Generative AI changes everything. For decades, modernisation has been slow, expensive, and disruptive. But Generative AI has rewritten the playbook—making large-scale transformation faster, more affordable, and more intelligent than ever before.

With AI:

Modernisation costs can drop by 50%—making large-scale upgrades financially viable. Transformation timelines shrink by 40%—what used to take years can now be done in months. And systems become self-optimising—adapting and improving in real time, without manual intervention. This isn’t just a small upgrade. It’s a complete shift in how technology is built, maintained, and improved.

The Strategic Modernisation Roadmap

AI doesn’t just accelerate modernisation. It changes who—or what—does the work. Autonomous AI agents aren’t just tools. They’re intelligent digital specialists that can handle tasks that would take human teams weeks or even months.

Imagine AI agents that can:

Analyse vast amounts of data in minutes
Run compliance checks with near-perfect accuracy
And rewrite and optimise legacy code—without breaking critical systems

A telecom company faced an impossible challenge: migrating millions of lines of legacy code from a 30-year-old mainframe. The project was projected to take 12 months with a traditional approach. With AI-powered automation, it was done in just four months—saving $8 million in the process. This is not just about making IT more efficient. It’s about fundamentally rethinking how technology evolves.

The AI Transformation Factory

So, how do you actually put AI to work in a modernisation strategy?
The Strategic Modernisation Roadmap provides a clear framework:

1. First Forget traditional, multi-year transformation projects—AI allows for rapid, incremental change.
2. Focus on high-impact areas first—not everything needs to be modernised at once.
3. Use automation wherever possible—AI can rewrite, optimise, and test code at scale.
4. Track every improvement—tie AI investments to business outcomes.
5. And prepare for a shift in operational models—this isn’t just about technology; it’s about how people, processes, and systems interact.

Organisations that take this approach don’t just reduce costs—they gain a competitive edge that keeps them ahead, long-term.

Talent and Operating Model Evolution

To make AI-powered modernisation a success, technology alone isn’t enough—organisations need the right talent and operating models.

AI-powered platforms that accelerate system modernisation Scalable, modular AI solutions to reduce vendor lock-in Robust AI governance to ensure compliance and security And upskilling programs to prepare IT teams for an AI-driven future One of the biggest roadblocks to AI adoption is a lack of talent.

The Solution?
Instead of hiring entirely new teams, leading organisations reskill their existing workforce to work alongside AI. Companies that align people and AI are around 40% more likely to succeed in transformation.

Diagram: From Technical Debt to Technological Advantage

AI transformation isn’t just about technology upgrades—it’s about organisational change. Biggest challenges organisations face:

1. Leadership resistance—many executives are hesitant to invest in AI.
2. Siloed departments—AI modernisation requires IT, finance, and operations to work together.
3. Budget constraints—organisations are stuck spending on maintenance instead of innovation.

Here’s how to Overcome These Barriers:

• First Build a business case for AI investment—demonstrate the impact on costs and revenue.
• Create cross-functional AI teams—break down silos between IT, finance, and operations.
• And Shift budget priorities—free up resources by reducing legacy system maintenance.

Companies that do this don’t just adapt—they set the pace for the future of their industry.

Your 12-Month Transformation Journey

The most successful organisations don’t just replace legacy systems—they build adaptive, AI-driven technology ecosystems. What should CIOs focus on over the next 12 months? Well they need to Deliver quick wins to prove AI’s business value

Transition to AI-enabled decision-making And build self-improving technology systems. This isn’t just about keeping up with change—it’s about leading transformation. Final Thought: Are You Ready to Go Beyond Legacy?

Legacy systems are anchors. AI is propulsion. The choice isn’t whether to modernise. It’s how fast you do it.