Generative AI tools like ChatGPT are becoming common in government offices. They help teams write faster, explain complex ideas, and save many hours of work. But even with these benefits, public servants still face one major challenge: understanding how to draft a prompt to create a government briefing that is safe, accurate, and useful. Good prompts help AI produce clearer drafts, stronger summaries, and better structures. Poor prompts, on the other hand, can lead to mist

Artificial intelligence (AI) is no longer a futuristic concept—it’s actively reshaping the way organizations work. From automating routine tasks to providing strategic insights, AI is transforming productivity across industries. But while technology can boost efficiency, the human element remains critical. Organizations that actively reward productivity gained through AI use not only maximize results but also build a culture of innovation and engagement. This article explo

As AI becomes a core part of modern work, organizations are learning that technology alone isn’t enough. Real transformation depends on culture—how people think, work, collaborate, and adapt to new tools. Companies that understand how to build an AI-ready culture gain faster adoption, better innovation, and stronger long-term performance. Creating this culture doesn’t happen by accident. It comes from clear communication, continuous learning, responsible experimentation, a

Artificial intelligence is now part of everyday work. From writing short summaries to improving customer service, AI tools are becoming normal in most organizations. But the success of AI does not depend only on the tools themselves. It depends on the people who guide how these tools are used. This is why leadership for AI in the workplace has become one of the most important skills for modern managers. Strong leadership sets the tone for how AI is adopted, how people feel

AI tools like ChatGPT are now part of everyday work in government. They can speed up writing, help explain complex policies, and save hours of time. But knowing when it is okay to use AI for government briefings—and when it is not—is becoming one of the most important digital skills for public sector teams. This article explains the risks, the right use cases, and the best practices for using AI safely. It also shows how AI can help governments shift to clearer, more acces

The ROI for datacenters has become one of the most important questions in today’s technology economy. As AI, cloud computing, and digital services expand at record speed, datacenters now sit at the heart of global infrastructure. These massive facilities power everything from email and video calls to high-performance AI models like ChatGPT. Because of this demand, investors, tech leaders, and governments are asking the same thing: What returns can datacenters actually deliver

AI tools now offer teachers a wide range of support options, and these solutions can be grouped into five core areas that make the biggest difference to teaching, learning, and daily classroom practice. The follow article is a short summary of the options that teacher may wish to consider while exploring the many possibilities. You may also also want to read the following article: 'How teachers should be using AI in education'.

Artificial intelligence is changing how schools work, how teachers teach and how students learn. What once felt experimental is now widely used in classrooms, learning platforms and school systems across the world. When used well, AI in education can personalise learning, reduce teacher workload, improve accessibility and give students new tools to succeed. This article explores how AI supports teaching, learning and school management today. It blends practical examples, r

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.