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Agentic AI is moving beyond isolated task automation in financial services. Its strongest near-term applications are processes that combine high transaction volumes, fragmented data, judgement-based decisions and costly manual hand-offs: from credit assessment and customer onboarding to fraud investigation, claims handling and regulatory change management. In my previous role at an RPA vendor, I worked […]

A year ago, most organizations were still asking whether AI was ready for the enterprise. In 2026, the question has changed; who is actually prepared to run it at scale? Across boardrooms, the discussion has shifted from experimentation to execution. Leaders are no longer asking what AI can do, but how far it can be

Artificial intelligence is no longer an experimental capability or a standalone productivity tool. It is becoming a core enterprise asset that influences how organisations operate, decide, and scale. Across industries, AI is shifting into a collaborative role—working alongside leaders and teams to accelerate execution, enhance decision-making, and unlock higher-value outcomes rather than simply automating tasks.

Artificial intelligence has reached near-universal adoption. According to McKinsey’s 2025 State of AI report, 88% of organisations now use AI in at least one business function—a signal that AI is no longer a frontier technology but a standard component of modern enterprise operations. Yet adoption alone is not translating into competitive advantage. Only one in

Artificial intelligence is no longer a supporting capability — it has become a central driver of business performance and competitiveness. According to Gartner, by 2028, organisations that adopt and sustain an AI-first strategy will achieve 25% better business outcomes than those that do not. An AI-first approach does not mean deploying AI in every process

The latest Stanford AI Index Report reinforces a decisive shift in global business strategy: AI has moved from experimentation to essential infrastructure. Once treated as a future-ready initiative, AI is now a core driver of competitiveness, efficiency, and operational transformation. The report highlights accelerating enterprise adoption, rapidly evolving model performance, and a global surge in

Recent findings from MIT\’s “State of AI in Business 2025” report reveal that nearly 95% of AI pilot projects fail to deliver measurable ROI. For business leaders, this statistic reflects a pattern of missed opportunities, misaligned strategies, and wasted investments. Yet these failures do not stem from the technology itself. Artificial intelligence, and particularly generative

Agentic AI is changing how businesses work. It doesn’t just follow rules. It takes action, solves problems, and learns from data on its own. Many industries are already using it. From banks to hospitals, companies are seeing faster results and lower costs. What used to take hours or days can now be done in minutes.

The promise of generative AI is electrifying. From transforming customer service to unlocking entirely new business models, companies across industries have launched Gen AI pilots with high hopes and ambitious goals. And yet, a familiar pattern is emerging: early excitement gives way to stalled momentum, unclear outcomes, and eventually, shelved projects. Why? Despite significant investment

Artificial Intelligence (AI) is no longer a distant concept—it has become a central force reshaping global industries and redefining how businesses operate. In 2025, the rapid evolution of technologies such as generative AI is driving innovation across various sectors, including healthcare, cybersecurity, manufacturing, and the automotive industry. Organizations are not only integrating AI into their