Amidst a new digital shift, artificial intelligence is fundamentally transforming the technology landscape. It is driving a new era with the potential for the most significant advancements in over 20 years, revolutionising how businesses harness technology.
However, many organisations face serious obstacles to leveraging their data to unlock these new opportunities. Achieving this takes a path that many consider challenging and risky: delving deeper into their core systems to truly modernise how these foundational systems operate from the ground up.
The next phase of the digital business era
Digital transformation has been at the top of the agenda for most organisations in the last decade, powering value propositions and customer experiences with access to modern technology. This era of digital transformation has evolved how organisations operate, with 67% of organisations now considering their business to be digital-first. However, this has been achieved mostly by layering, building on top of core systems that remain tightly closed.
To keep up with the fast-changing technology landscape, business strategies must evolve in response to changing market dynamics and disruptions, customer demands and emerging technologies. And, they also need to invest in modernising their core systems.
Organisations need systems that capture data in clear and organised ways, composable architectures that allow for quick deployment of new features and functions, and a deeper understanding of their workflows and business logic that currently sits buried in their systems.
Without these advancements, they are not able to harness the power of AI and fully leverage its capabilities.
Modernisation without the risk?
With the growth in AI, more businesses recognise that simply building on top of core systems is no longer sufficient. How can organisations fully respond to market pressures and deliver innovative new services and features if they cannot easily modify their systems? And how can they unlock AI's full potential without a solid foundation of clean data?
But, the fear of risk can paralyse some companies. The potential commercial and reputational fallout from interrupted service or broken linkages has led many to defer decisions to modernise these systems. Yet, staying stagnant is no longer an option. Organisations that resist making their systems adaptable and reconfigurable risk losing their competitive edge. More agile competitors who innovate and bring new products to market will leave them behind.
However, modernising your tech stack is no longer necessarily risky, as you can carefully blend data-driven approaches with human expertise.
What does enterprise modernisation mean in practice?
Achieving enterprise modernisation means identifying the key building blocks for success. This starts with clearly capturing data, then having composable architectures for rapid feature deployment, and underpinning it all, a thorough understanding of workflows and business logic buried within your systems.
Establishing these building blocks will make your system modernisation more transparent and flexible, further de-risking the process.
Data-driven modernisation offers significant benefits, including improved system clarity and efficiency. This analysis can be revisited as required, which is indispensable if you acquire a new business, giving you access to critical data from the get-go.
You can also take a phased approach to your roadmap, further derisking transformation. Phase one might be a move to the cloud or rewriting your application architecture. Then you can build and incorporate the AI to help you complete your journey.
Our approach to enterprise modernisation
Decades of cross-industry collaboration, listening to our clients and analysing their real-world problem domains has created a truly unique approach.
Leveraging the perfect symbiosis of technology and humans. The cornerstone of our modernisation approach is an in-depth analysis of legacy technology assets led by data-driven automation, complemented by patented capabilities that help us deliver a de-risked, cost-controlled, accurate end-to-end system transformation. But that's only part of the picture, as we also build on our client subject matter expertise to validate findings, not to help produce them once produced.
We have already seen this enhanced enterprise modernisation approach greatly reduce the risk for our customers going through large core system changes. The early incorporation of automation and advanced AI ensures they have a roadmap for embedding AI deeper into their business.
How will enterprise modernisation get me to where I want to be?
Enterprise modernisation isn’t the end goal in itself. It’s the tool enabling you to truly harness the power of AI and be ready for the opportunities yet to come.
Take a moment to consider what this could mean for your organisation. With access to all of your data and transparency in how your systems interconnect, what would it enable you to do with AI? This is why enterprise modernisation is key to enabling the next phase of digital transformation.
In the past, you may have felt constrained by system modernisation – damned if you do open up the core and damned if you don’t – but now you’re able to have more predictable outcomes giving you the level of comfort business demands.
This delivers a systemised approach to derisking core modernisation and transforming with confidence so that you can move forward to fully benefit from everything that AI has to offer. It also ensures flexibility and transparency in your systems so you can capitalise on the future innovative tech yet to come and fully embrace the opportunities presented by the current digital shift. It’s a big step to take, but we’re here to help.