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

The impact of AI on the Philippines call centre industry is one of the biggest shifts facing the country’s economy today. Since overtaking India in 2010 as the world’s leading call centre capital, the Philippines has relied heavily on its thriving business process outsourcing (BPO) sector. With 1.3 to 1.8 million people employed and contributing over US$30 billion a year, call centres have become a lifeline for Filipino workers and a cornerstone of national growth. However

Artificial Intelligence (AI) is transforming industries across the world, but its impact on India’s services industry will be especially significant. For decades, India’s IT giants thrived on a business model built around scale, skilled human labour, and cost efficiency. Today, however, that model is under strain as automation and AI-driven platforms rapidly change how technology services are delivered. For India’s $263 billion IT services sector (FY25 estimate, excluding

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

Agentic AI in service delivery is quickly becoming one of the most powerful tools for organisations aiming to improve efficiency, customer satisfaction, and overall resilience. Unlike traditional automation, which simply follows instructions, agentic AI goes further by acting independently, learning from past actions, and continuously improving. This shift means that businesses, governments, and service providers can now rely on AI systems that proactively manage workflows

The five steps to get a workflow ready for AI automation In today’s fast-moving business world, AI workflow automation is no longer a luxury—it’s a necessity. By automating routine and repetitive tasks using AI, organisations can boost efficiency, reduce errors, and scale their operations with ease. Whether it’s sorting customer requests, processing invoices, or generating reports, AI-driven automation is reshaping how work gets done. But how do you prepare your workflo

How Tools Like Humphrey AI help the Policy Development Process In today’s fast-paced government environment, policy development needs to be both thorough and agile. While traditional processes remain important, the reality is that modern priorities demand faster decision-making, better data integration, and more transparent engagement. Tools like Humphrey AI (see article: HumphreyAI) and similar AI-enabled platforms – could offer valuable support at every stage of the poli

The power of government hackathons Hackathons are not just for tech startups or Silicon Valley anymore. Around the world, governments are beginning to realise that hackathons can be powerful tools to solve public challenges, engage communities, and accelerate digital transformation. By bringing together developers, policy experts, citizens, and industry partners for short, focused bursts of creative work, governments can unlock smarter solutions, faster service delivery, a

Artificial intelligence (AI) is no longer a distant innovation on the horizon—it is now playing a pivotal role in changing how government policy is developed, written, and delivered. AI-powered tools that can summarise complex data, draft content, refine documents, and even present information in a compelling and accessible format are beginning to revolutionise the public sector. These technologies promise to cut through bureaucracy, reduce manual workload, and increase th

Artificial intelligence (AI) is fast becoming a defining feature of modern organisations. It’s not just a new tool—it’s a new way of working, deciding, and thinking. As digital transformation accelerates across sectors, the push to integrate AI into core business processes has become urgent. But while most organisations have focused heavily on technical readiness—building data infrastructure, training teams in AI tools, and investing in new platforms—they’ve often overlooked

How can advances in data, cloud computing, and AI enable a new era of government digital transformation?At the centre of the opportunity is the convergence of: data. Advances in data architecture, cloud computing, and artificial intelligence (AI) and this is ushering in a new era of digital transformation, with governments seeking ways to harness these capabilities for everything from pandemic response to social services management.

In today's data-driven world, governments are increasingly turning to artificial intelligence (AI) to improve their policy-making processes. With millions affected by policy decisions, the need for data analysis is more important than ever. AI can analyze vast amounts of information quickly, identifying patterns and insights that lead to smart, effective policies. This post discusses how AI can be a valuable ally in drafting government policies through data analysis and insig

Basic data cleansing to enable AI. Discussion o the basics of data cleansing, including handling missing values, removing errors

How can DevOps help AI development and AI help DevOps? AI and DevOps are both helpful 'resources' that can achieve so much together

Why are government struggling to adopt AI despite the compelling use cases? The technology, organisational, and environmental reasons