Getting roles ready for automation isn’t just about buying new technology — it’s about understanding how work actually gets done. Before automation can deliver real value, organizations need a clear, accurate view of their existing processes. This is where process mapping for automation becomes essential. Process mapping allows teams to document each step, role, and decision within a workflow. It shows how work moves between people, systems, and departments. When done prop

Organisations today face a growing imperative to make their systems and processes “AI ready” — in other words, to ensure that their workloads can harness artificial intelligence (AI) to deliver real business value. Preparing workloads for AI involves far more than simply installing a new tool or model. It requires strategic planning, data preparation, infrastructure modernisation, talent development, and strong governance. In this article, we explore the key steps to get work

In today’s digital era, national reputation is not built only on geography or resources — it’s also about how well a country positions itself as a digital nation. Governments across the world are branding themselves as innovative, tech-enabled, and citizen-centred. Two stand-out examples are Estonia and Singapore, which have turned their digital transformation programmes into powerful nation brands. Estonia calls itself a digital nation, known globally for its e-Estonia co

Artificial intelligence (AI) has moved far beyond the realm of early experimentation. By 2025, it has become a defining force reshaping how businesses operate, compete, and create value. The conversation has shifted from “what can AI do?” to “how do we use AI responsibly, efficiently, and at scale?” The year marks a major turning point. AI has embedded itself into everyday business life — from decision-making and automation to design, logistics, and customer engagement. Th

Artificial intelligence (AI) is transforming the world at remarkable speed. From business and healthcare to education and industry, AI is already reshaping how societies work. But as excitement grows about its potential, one key question remains: Will AI simply increase the digital divide between rich and poor countries? The digital divide refers to the growing gap between those who have access to modern digital technologies and those who do not. With AI now driving the ne

When I first started reading about artificial intelligence in finance, I’ll be honest — I felt nervous. The more I understood what AI could do, the more unsettled I became. I’ve been in finance for years. I’ve spent countless hours building models, analysing data, and writing reports. But suddenly, I was seeing headlines about AI systems that could automate half of what I did for a living. I remember sitting at my desk late one night and thinking, “If AI can do my job fast

For many organisations, extracting data from legacy systems remains one of the biggest barriers to digital transformation. Legacy platforms—often decades old—hold valuable operational data, but accessing that information can be slow, costly, and error-prone. Traditional extraction methods rely on manual coding, reverse engineering, or complex data integration projects. These are effective but time-consuming and expensive. Today, artificial intelligence (AI) and generati

Extracting data from legacy systems remains one of the most critical — and often most challenging — stages in modernising an organisation’s technology infrastructure. Many organisations continue to rely on older systems built years, or even decades, ago. While these systems are often stable and deeply integrated into business processes, they can make it difficult to access or reuse the valuable data they hold. As organisations transition to cloud computing, modern database

In today’s fast-moving business world, the rise of artificial intelligence (AI) is reshaping how finance teams work. Across financial planning and analysis (FP&A), accounting, and corporate finance, professionals are debating whether AI will replace jobs, change skill requirements, or simply transform the way finance operates. Some people fear that tools like ChatGPT or other AI systems might make certain finance roles obsolete. Others believe AI will make finance professi

Most organisations end up with too many websites over time. Whether through mergers, acquisitions, or internal projects, it is common to see sprawling, overlapping, and hard-to-manage online portfolios. This makes websites expensive to maintain, difficult to secure, and confusing for users. Website rationalisation is the process of simplifying and consolidating websites so they better align with business goals. It involves streamlining content, design, and technology by re

Principles-Based Regulation (PBR) has become one of the most important approaches in financial services and beyond. Instead of relying on long lists of prescriptive rules, it sets out broad principles that guide behaviour, encourage accountability, and focus on outcomes. In the UK, this model has existed for decades but gained new momentum after the 2008 financial crisis. Regulators argued that detailed rules encouraged a “tick-box” culture, where firms focused on followin

The financial technology (fintech) sector is undergoing a profound transformation thanks to artificial intelligence (AI). This technology is reshaping how financial services operate, making processes faster, smarter, and more secure. From personalized banking to fraud detection, AI applications in fintech are driving innovation and efficiency. This blog post explores the key ways AI is revolutionizing fintech today, providing practical insights and examples.

Technology is moving faster than ever before. From artificial intelligence to quantum computing, new innovations are reshaping how we live, work, and connect. Businesses, governments, and individuals are all trying to keep up with the pace of change. The key question for leaders today is: which technology trends are truly worth watching in 2025? This article explores the most important emergent technology trends—covering digital infrastructure, artificial intelligence,

Agentic AI and orchestration are set to reshape the way governments deliver services to citizens. By enabling autonomous systems that can plan, reason, and coordinate across different functions, governments have an opportunity to create faster, more efficient, and citizen-centred services. The focus is not only on automation, but also on ensuring services are designed to be proactive, reliable, and trustworthy. For governments, adopting agentic AI and orchestration means r

Artificial intelligence (AI) is rapidly moving from theory into everyday life. It is reshaping industries, transforming labour markets, and creating new opportunities for growth. Yet the AI impact on economies will not be uniform. Some nations are poised to benefit enormously, while others may struggle with disruption and inequality. Research shows that the ability of a country to harness AI depends on three factors: innovation, how widely AI spreads across industries (dif

Artificial Intelligence (AI) is reshaping how organisations work, from automating back-office processes to transforming healthcare, finance, and manufacturing. Yet introducing AI at scale is not just about deploying algorithms—it requires structured planning, governance, and alignment with business goals. The TOGAF framework, widely recognised for enterprise architecture, offers a robust method for guiding AI adoption. At its heart lies the Architecture Development Method

The National Institute of Standards and Technology (NIST), a U.S. federal agency under the Department of Commerce, plays a key role in setting technology standards that drive innovation and competitiveness. Known for frameworks like the Cybersecurity Framework (CSF), NIST has developed the AI Risk Management Framework (AI RMF) to guide organisations in creating safe, responsible, and trustworthy AI systems. The AI RMF is a voluntary guideline designed to help organisations

Artificial Intelligence (AI) is shaping the future of industries, governments, and societies. The question facing leaders today is whether to prioritise innovation (pushing new breakthroughs) or diffusion (scaling existing solutions). The reality is that both matter—but only when paired with strong governance. The AI-STRIDE Framework (Safe, Trustworthy, Responsible, Innovation, Diffusion for the Enterprise) provides a structured way to manage this balance. It highlights ho

Artificial Intelligence (AI) is no longer just an emerging technology—it is now central to how governments, businesses, and organisations operate. From healthcare and finance to public services and education, AI systems shape decisions that affect individuals and entire societies. With this influence comes significant responsibility. The challenge is clear: how can organisations ensure AI systems remain ethical, secure, and compliant throughout their lifecycle? This is w

Modernising digital government applications in the AI era is no longer optional—it is essential. Citizens now expect services that are as fast and seamless as online banking or shopping, while governments must handle growing cyber threats, legacy IT challenges, and rising costs. Artificial Intelligence (AI), combined with modern cloud platforms and secure digital practices, offers governments the tools to meet these demands. It can automate processes, improve decision-maki