AGI

NatWest Group is significantly expanding AI adoption across customer service, wealth management, and software development, aiming for 2025 to be a key year for scaled deployment. Generative AI is enhancing customer interactions through the digital assistant “Cora,” and empowering staff with tools like Microsoft Copilot. The bank is also streamlining wealth management document processing and leveraging AI in software development, with AI contributing over a third of its code. These advancements are supported by infrastructure upgrades and a focus on ethical AI implementation.

Urban Outfitters Inc. is piloting agentic AI to automate weekly performance reporting, transforming a manual task into a software-driven process. This initiative allows AI systems to analyze store-level data and generate consolidated reports, highlighting key patterns and areas for attention. The goal is to reduce time spent on data collection, accelerate decision-making, and free up merchandising teams for strategic thinking. This move signifies a broader trend of autonomous AI integration into enterprise workflows.

University of Hertfordshire researchers have developed an AI forecasting model for the NHS, leveraging historical data and machine learning to predict healthcare demand. This system analyzes patient trends, workforce availability, and demographics to improve resource allocation, staffing, and patient care strategies. Focusing on system-wide operations, the model aims to shift healthcare management from reactive to proactive, enhancing efficiency and informing crucial strategic decisions. The project is ongoing and expanding its pilot testing to various healthcare settings.

Finance leaders are increasingly adopting agentic AI for accounts payable automation, driving an 80% ROI compared to general AI’s 67%. These autonomous systems handle complex tasks with minimal human input, necessitating a re-evaluation of automation budgets. While generative AI summarizes, agentic AI executes workflows, offering tangible business returns. Accounts payable serves as a key proving ground due to its structured nature. Organizations are deciding whether to buy or build AI solutions based on whether the function is a common process or a unique differentiator. Robust governance frameworks are crucial for safe and effective deployment, treating AI agents like junior colleagues with human oversight. Ultimately, purposeful implementation, not just experimentation, is key to realizing transformative results.

Companies are increasingly adopting AI within HR departments, prioritizing internal efficiency over customer-facing applications. This allows for controlled testing and refinement of AI in structured environments. Telecommunications giant e& is leading this trend by implementing an AI-first model for its HR operations, impacting 10,000 employees. This strategic move leverages AI to automate tasks like recruitment and personalize employee learning, aiming to standardize global processes and provide better workforce insights. HR serves as a low-risk proving ground, offering consistent data and predictable workflows ideal for AI development before tackling more sensitive external applications.

Financial services globally are heavily adopting AI, with Singapore leading. Its institutions are integrating AI into production, particularly in payments, driven by a focus on compliance and leveraging advanced cloud infrastructure. Despite talent shortages and budget concerns, partnerships with fintechs are common. The sector is moving beyond experimentation to operational AI, with a parallel rise in AI-enabled security threats requiring increased spending and advanced defenses.

State-sponsored hackers are increasingly using AI, including large language models, to enhance cyberattacks. This report details how actors from Iran, North Korea, China, and Russia are weaponizing AI for sophisticated phishing, accelerated malware development, and AI-driven reconnaissance, particularly targeting the defense sector. The analysis also highlights a surge in model extraction attacks, the emergence of AI-integrated malware, and the exploitation of AI chat platforms for malicious campaigns. While AI is transforming the threat landscape, Google emphasizes ongoing efforts to disrupt malicious activity and improve AI model defenses.

Barclays reported a robust 12% annual profit surge to £9.1 billion in 2025, raising its 2028 return on tangible equity target to over 14%. This growth is driven by U.S. expansion and significant cost reductions, with artificial intelligence playing a pivotal role in efficiency gains. Barclays is integrating AI into core operations for sustained cost savings, demonstrating a tangible impact of technology on profitability beyond traditional tech firms.

Agentic AI offers a powerful solution for insurers to overcome legacy system limitations and drive scalable efficiency. Despite vast data, many struggle with adoption due to infrastructure and financial pressures. Intelligent agents can automate complex tasks, augment workforces for claims processing and customer support, and significantly reduce processing times and improve customer satisfaction. Successful implementation requires addressing internal friction, aligning AI with business goals, and fostering organizational readiness.

Huawei is launching advanced AI agents globally, featuring a new “supernode” architecture for enterprise workloads and industry-specific Pangu models. Tencent Cloud is focusing on scenario-based AI solutions for international clients. While these Chinese tech giants are investing heavily, practical agentic AI applications are currently most prominent within China, integrated into platforms like DingTalk and WeCom for task automation. Demonstrating scalability and security will be key for wider international enterprise adoption.