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Pope Leo XIV has used the first encyclical of his papacy to call for tighter regulation, transparency and human oversight of artificial intelligence, warning that unchecked systems could intensify misinformation, deepen inequality and make war easier to wage. The document, Magnifica Humanitas, places AI at the centre of the new pontificate’s social agenda, treating the technology not as a narrow technical issue but as a test of […]

Arabian Post Staff -Dubai UAE office rents rose at double-digit rates in the first quarter of 2026 as limited prime supply, resilient tenant demand and stronger renewal activity kept pressure on occupiers across Dubai and Abu Dhabi, even as new leasing decisions became more cautious amid regional uncertainty. Abu Dhabi’s prime office rents increased 11.7 per cent year on year, while Grade A and Grade B spaces […]

Air India Express flight IX-712 from Muscat to Kannur aborted take-off after its Boeing 737-800 struck runway edge lights during the departure roll, causing a hydraulic leak and a flat tyre in an incident now under formal investigation in Oman.

The aircraft, operating the Muscat–Kannur sector on May 15, was preparing for a night departure from Muscat International Airport when it became misaligned during take-off. Instead of tracking along the runway centreline, the aircraft moved along the right-side edge-light area and hit multiple lights before the crew rejected the take-off. The pilot acted after hearing a loud bang and receiving a cockpit alert.

No injuries were reported among passengers or crew. The aircraft stopped on the runway and was disabled after the impact, prompting evacuation and ground response procedures. The Boeing 737-800 has remained grounded in Muscat pending technical inspection, repairs and regulatory clearance.

The occurrence has been classified as an accident by Oman’s Air Accidents Investigation Sector, which has opened a probe into the sequence of events, crew actions, runway conditions, lighting environment and air traffic control communication. The investigation is expected to examine why the aircraft was not aligned with the runway centreline before take-off clearance was acted upon.

Flight IX-712 serves an important expatriate corridor between Oman and Kerala’s Kannur district, which has a large base of workers and families linked to the Gulf. The route is part of Air India Express’s wider West Asia network, where the airline operates high-frequency services catering mainly to price-sensitive passengers, migrant workers and family traffic.

The aircraft involved was a Boeing 737-800, a narrow-body model widely used for short- and medium-haul operations. The type is part of Air India Express’s core fleet and is configured for high-density international services. The 737-800 is regarded as a mature aircraft platform, but runway alignment events remain serious because they can expose aircraft to structural damage, tyre failure, hydraulic loss and runway obstruction risks during the most critical phase of flight.

Runway edge lights are designed to mark the lateral boundary of a runway, while centreline guidance helps crews maintain the correct track during take-off and landing, especially at night or in reduced visibility. Misidentification of lighting cues can become more hazardous during night operations, when visual references are narrower and cockpit workload is high. Investigators will assess whether lighting layout, crew situational awareness, taxi routing, clearance procedures or human factors contributed to the incident.

The hydraulic leak is a key technical concern because aircraft hydraulic systems power essential functions including flight controls, braking, landing gear and steering. A flat tyre during an aborted take-off also raises operational risk, as the aircraft must stop safely while managing heat, braking load and directional control. The crew’s decision to reject take-off after the bang and warning indication prevented the aircraft from becoming airborne with possible system damage.

The incident comes at a time of intensified scrutiny of airline operational discipline, runway safety and crew resource management across global aviation. Regulators have placed growing emphasis on runway incursion prevention, proper line-up procedures, cockpit cross-checking and visual confirmation before take-off. Airports and airlines are also under pressure to strengthen safety reporting systems so that operational errors are identified and corrected before they lead to more serious outcomes.

Air India Express, now operating under the Tata group’s aviation restructuring plan, has been expanding and consolidating its network as part of a broader integration of low-cost operations. The airline has a substantial presence on Gulf routes, where competition is intense and aircraft utilisation remains high. Any grounding of a narrow-body aircraft can disrupt schedules, especially on tightly planned international rotations.

Kannur International Airport has depended heavily on Gulf connectivity since its opening, with Oman, the UAE, Saudi Arabia, Qatar and Bahrain forming core markets for the airport’s passenger flows. Services from Muscat are particularly significant for northern Kerala travellers, who often prefer direct flights over longer road journeys to airports in Kozhikode, Kochi or Mangaluru.

Microsoft’s early lead in AI-assisted software development is coming under pressure as outages at GitHub, leadership changes, security incidents and fast-moving rivals reshape one of the most important contests in enterprise technology. GitHub Copilot gave Microsoft a commanding start in the AI coding race. It was launched before many competitors had mature developer products, and it benefited from GitHub’s position at the centre of global software collaboration. […]

THIMPHU, BHUTAN – Media OutReach Newswire – 26 May 2026 – In a landmark collaboration between the Ministry of Education and Skills Development (MoESD) of Bhutan and the EtonHouse International Education Group, EtonHouse Bhutan International School will open its doors as the nation’s first international K–12 school in Academic Year 26/27, marking a milestone that underscores Bhutan’s commitment to building human capital for a rapidly evolving global economy.

Mr Ng Yi-Xian, Group CEO, EtonHouse International Education Group and Mr Tshewang Chophel Dorji, Secretary, Ministry of Education and Skills Development
Mr Ng Yi-Xian, Group CEO, EtonHouse International Education Group and Mr Tshewang Chophel Dorji, Secretary, Ministry of Education and Skills Development

Founded in Singapore over 30 years ago, EtonHouse today operates over 100 schools across eight countries, and is widely recognised for its inquiry-led approach to international education.

The partnership positions EtonHouse as a long-term education partner to Bhutan, focused on listening, learning, and co-creating a school experience that honours Bhutanese culture and strengthens capability within the region. Professional development and education conferences will support collaboration among educators across Bhutan, enabling professional exchange and high-quality practice, contributing to a strong, future-ready pedagogical landscape.

A shared vision for Bhutan’s future education landscape

EtonHouse Bhutan aligns with the Royal Government’s vision to nurture world-class talent through greater access to high-quality international education. The school is designed to develop globally competent learners rooted in Bhutan’s cultural heritage and the principles of Gross National Happiness. This partnership reflects Singapore’s enduring contribution to international education, sharing a model that harmonises academic rigour with Asian values, creativity and innovation, advancing Bhutan’s long-term educational aspirations.

The school will offer a seamless K–12 pathway for over 500 students. In the Early Years, children will experience the EtonHouse Inquire. Think. Learn curriculum inspired by the Reggio Emilia approach. Primary students will engage in the International Primary Curriculum alongside Singapore Mathematics and UK-aligned core subjects, progressing to the Cambridge Lower Secondary, IGCSE and International A Level qualifications from Cambridge. Bhutanese History and Dzongkha remain integral, complemented by a multilingual language programme offering English, Dzongkha and Mandarin, alongside a strong emphasis on STEM, sustainability and holistic wellbeing.

“The Ministry of Education and Skills Development has entered into a landmark partnership with EtonHouse International Education Group to establish an international school in Bhutan, a significant milestone in the nation’s ongoing education reform, guided by His Majesty’s vision for a future-ready and globally competitive education landscape.

The initiative will provide Bhutanese students with access to internationally benchmarked learning opportunities while ensuring the deep integration of local knowledge, culture, and values into the curriculum. It seeks to create a dynamic platform for young Bhutanese to experience world-class education within the country, reducing the need to pursue such opportunities abroad and thereby strengthening Bhutan’s human capital for the future.

Beyond enhancing access to quality education, the partnership aims to strengthen national education capacity and bolster Bhutan’s attractiveness to skilled professionals and international institutions, positioning the Kingdom as an emerging hub for world-class learning,” said Mr Tshewang C. Dorji, Secretary of the Ministry of Education & Skills Development.

“Establishing Bhutan’s first international school marks a defining moment for education in the Kingdom. As a global education group, we bring internationally recognised standards and access to a worldwide learning network that connects students and educators across countries. Through the EtonHouse Global Classroom, students engage with peers across our international network, gaining global perspectives through shared learning and cultural understanding. Our ambition is to build a globally engaged school in Bhutan that expands opportunities and contributes to long-term national development.” said Mr Ng Yi-Xian, Group CEO of the EtonHouse International Education Group.

Creating Opportunities for Students and Advancing Educator Excellence

A dedicated scholarship scheme will provide full tuition sponsorship to up to ten outstanding Bhutanese students, reinforcing the school’s commitment to accessibility and national talent development.

EtonHouse will leverage its membership in the Reggio Children International Network to provide preschool educators in Bhutan with access to internationally recognised Reggio Children expertise, professional learning and regional educator exchange, strengthening teaching practice across the region.

A campus that celebrates Bhutanese identity and global perspective

“The design and curriculum of EtonHouse Bhutan pay homage to Bhutan’s cultural roots while opening doors to the world. Every space has been conceived to inspire curiosity, reflection, and innovation, echoing the nation’s aspiration to educate its youth for both local contribution and global engagement.” said Evelyn Tay, CEO of EtonHouse International Education Group, Singapore and EtonHouse Bhutan International School.

The purpose-built campus reflects a thoughtful fusion of traditional Bhutanese craftsmanship and contemporary collegiate design. Learning environments are designed in calm, neutral tones, reflecting the EtonHouse approach to inquiry-led, child-centered learning.

Students will have access to facilities including:

  • Research and Innovation Centre, integrating the Library, STEAM and ICT to support inquiry, experimentation and interdisciplinary learning
  • Dedicated Science Laboratories, designed for hands-on learning across Biology, Chemistry and Physics
  • Cultural Learning Spaces, honouring Bhutanese History and Dzongkha as integral parts of the curriculum
  • Multipurpose Sports Hall, supporting physical development, teamwork and wellbeing
  • Dedicated Performing Arts Studio, enabling expression through music, drama and movement
  • Reggio-inspired Ateliers, where children explore ideas through the hundred languages of expression, including light, sound, clay, mark-making and natural materials

Next steps

With enrolments opening for Nursery 1 to Year 5 (from 3 to 10 years) and plans to expand progressively to serve students aged up to 18 years, families interested in discovering more about EtonHouse Bhutan International School are warmly invited to attend our Experience Day on 30 May. This special event offers an opportunity to find out more and experience what defines the EtonHouse approach.

For more information, please visit etonhouse.edu.sg/bhutan.






The issuer is solely responsible for the content of this announcement.

About EtonHouse International Education Group

Founded in 1995 in Singapore, EtonHouse has grown into a global education group with more than 100 schools across eight countries. The Group offers a highly recognised international education pathway from infant care to high school, including the International Baccalaureate, Cambridge, and the Reggio Emilia-inspired approach, all designed to nurture inquiry, creativity, and intercultural understanding. Beyond schools, EtonHouse is deeply committed to community impact through teacher training, philanthropy, and purpose-driven educational initiatives.

BINZHOU, CHINA – Media OutReach Newswire – 25 May 2026 – On May 11, experimental samples for the project “Study on the Effect of Rotating Magnetic Field on the Solidification Process of Aluminum-based Lightweight High-entropy Alloys under Space Microgravity Conditions” were officially launched aboard the Tianzhou-10 cargo spacecraft. Co-developed with the Metal Materials Center of Binzhou Weiqiao UCAS Advanced Technology Research Institute, these samples are now en route to China’s Manned Space Station to begin their on-orbit scientific journey in a microgravity environment.

Researchers conducting project experiments
Researchers conducting project experiments

This initiative is a collaborative effort involving the University of Chinese Academy of Sciences (UCAS), the National Space Science Center of the Chinese Academy of Sciences, and the Binzhou Weiqiao UCAS High Technology Research Institute. The successful launch marks a historic “zero-to-one” breakthrough, representing the first time private sci-tech forces from Binzhou and indeed Shandong province have reached space. It also stands as China’s first in-space experiment to study the solidification of lightweight high-entropy alloys under the dual-field coupling of “microgravity and rotating magnetic fields.”

As a national-level “space laboratory,” the manned space station hosts world-class research facilities and serves as a core platform for disruptive innovation in new materials. This successful deployment not only highlights the institute’s cutting-edge research capabilities but also signifies a deep integration between corporate scientific research and national aerospace engineering. Looking ahead, the institute will continue its deep dive into frontier fields such as space materials and lightweight alloys. By strengthening collaborative innovation across industry, academia, and research, they aim to empower the upgrading of the new materials industry with technological innovation, contributing both wisdom and strength to the development of China’s manned space program and the cultivation of new quality productive forces.
Hashtag: #BinzhouInformationOffice

The issuer is solely responsible for the content of this announcement.

US federal investigators have warned that a new phishing-as-a-service platform called Kali365 is enabling cybercriminals to steal Microsoft 365 access tokens and bypass multi-factor authentication without capturing victims’ passwords. The platform, first observed in April 2026 and distributed mainly through Telegram, marks a sharper turn in identity-based attacks because it abuses legitimate Microsoft authentication flows rather than relying on fake login pages alone. By capturing OAuth access […]

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  • At the launch, KPMG also unveiled its Trusted AI Assurance offering that is aligned with relevant international standards and frameworks to mitigate risk and build trust in AI deployment. This gives businesses a clear, credible pathway to scale AI confidently as Singapore reinforces its position as a trusted node in the global community.

SINGAPORE – Media OutReach Newswire – 25 May 2026 – As Singapore deepens its commitment to becoming a world-leading AI hub, the question of how organisations build AI that is trusted — by customers, regulators and international partners — has become as consequential as how fast they build it. Today, KPMG took a significant step in answering that question with the launch of its Trusted Artificial Intelligence Centre of Excellence (AI CoE). Supported by the Singapore Economic Development Board (EDB), the AI CoE is a dedicated capability hub designed to help organisations move beyond AI experimentation and embed AI as a trusted, enterprise-ready asset.

At the same event, KPMG also unveiled its Trusted AI Assurance — a structured, business-focused, evidence-based approach that gives Singapore businesses a rigorous multi-faceted assessment of their AI deployment and a clear pathway to scale confidently. Today’s launch — bringing together government, enterprise and the professional services sector — signals a pivotal shift in the national AI conversation: from speed to scale of adoption where trust is the foundational bedrock of deploying AI.

The Trusted AI CoE was officially launched by Ms Jasmin Lau, Minister of State, Ministry of Digital Development and Information & Ministry of Education, alongside Mr Jermaine Loy, Managing Director of the Singapore Economic Development Board (EDB), and Ms Lee Sze Yeng, Managing Partner of KPMG in Singapore.

KPMG’s 2025 Global CEO Outlook shows that more than seven in ten CEOs now rank AI as a top investment priority — yet for many, the gap between ambition and sustained enterprise impact remains wide. Governance, data readiness and workforce capability are the defining constraints of this next phase of adoption. Singapore-based businesses face a further dimension: as they expand regionally and globally, they need their AI systems to be trusted not just at home but across multiple jurisdictions — each with its own regulatory expectations and stakeholder standards.

Lee Sze Yeng, Managing Partner at KPMG in Singapore, said: “Across every sector, we are seeing the same pattern: organisations that moved fast on AI are now asking harder questions — where is the real value, are our people genuinely ready to work alongside AI, and can we stand behind the decisions our systems make? These are not technical questions. They are leadership questions. And for Singapore businesses with ambitions beyond our shores, there is an added dimension: the trust that matters to customers and regulators in the markets you are entering may be defined differently from what is required here. Through the KPMG Singapore Trusted AI Centre of Excellence, we are partnering with businesses to rigorously assess where they stand, close the gaps that matter, and build AI that is trusted not just locally but in the markets most critical to their growth. Trusted AI is not a constraint on ambition. Done well, it is the foundation for it.”

Jermaine Loy, Managing Director, EDB, said: “KPMG’s Trusted AI Centre of Excellence here in Singapore will enable businesses across diverse sectors – including financial services, healthcare, logistics and manufacturing – to scale use of AI with confidence, supported by robust governance frameworks and assurance capabilities. At the same time, this strengthens Singapore’s growing AI ecosystem by building enterprise capabilities and workforce readiness for AI adoption. We welcome KPMG Singapore’s efforts to work with EDB and the relevant agencies in advancing Singapore’s position as a globally trusted hub for AI deployment and innovation.”

Trusted AI Assurance — Giving Singapore Businesses a Foundation to Scale AI

For Singapore businesses, the ambition to scale AI is rarely the obstacle. What is harder — and more consequential — is the question of whether the AI they are building and deploying can genuinely be stood behind: by their boards, by their customers, employees and by the regulators and partners they will encounter as they grow beyond Singapore’s shores.

KPMG’s Trusted AI Assurance offering (the “Trusted AI Assurance”) was developed in response to the need to address the trust deficit with AI in the business community to boost adoption. It is not a certification exercise or a compliance checklist. It is a rigorous, evidence-based independent assessment that gives leadership teams an honest picture of where they stand — and a clear, practical path to where they need to be.

What makes it meaningful is its specificity. The Trusted AI Assurance is calibrated to each organisation’s sector, operating context and growth ambitions — because a financial institution navigating cross-border data regulation faces a fundamentally different set of questions from a manufacturer embedding AI into operational workflows, or a healthcare provider deploying AI-assisted diagnostics. Generic benchmarks serve neither well.

The assessment examines two things that are often conflated but must be considered separately: whether an organisation has the governance, culture and leadership practices to deploy AI responsibly; and whether the AI solutions it has built or acquired are themselves trustworthy — documented, risk-assessed, well-integrated and performing as intended. An organisation can have the right intentions and still be running AI that falls short of what its stakeholders — or another country’s regulators — would accept.

Across four domains, the Trusted AI Assurance examines what genuinely matters:

AI Governance — Whether the frameworks, operating models, policies and procedures that govern AI are real and embedded, not aspirational documents that sit untouched between audits.

AI Systems — The AI systems themselves: how they are documented, how risks are inventoried, how models are integrated into business workflows, and whether the data foundations — including Retrieval-Augmented Generation, pipelines and datasets — are robust enough to be relied upon.

AI Regulatory Compliance — How prepared an organisation is for the regulatory environments it currently operates in, and those it intends to enter. For Singapore businesses with expansion ambitions, this is often where the most important gaps surface: the Trusted AI Assurance can identify whether a specific AI system meets the requirements for deployment in a given market — such as the European Union — or what adjustments would make it so.

AI Security — The strategies and processes in place to protect AI systems, manage privacy, and ensure the organisation can detect, respond to and recover from threats as they evolve.

The stakes are sharpest for businesses in highly regulated sectors. Financial institutions, healthcare providers and infrastructure operators have long been accustomed to navigating complex compliance environments — and Singapore’s AI governance frameworks are among the most developed in the region. But as the EU AI Act moves into full enforcement, a new and specific set of expectations is taking effect for any organisation deploying AI within European markets, or handling the data of European citizens. What satisfies regulators here does not automatically satisfy regulators there.

The reality is one of regulatory diversity: different jurisdictions are building their AI governance regimes at different speeds, with different emphases, and with different evidentiary requirements. A Singapore company that has passed relevant local standards may still find that its AI systems require different documentation, greater explainability, or additional human oversight controls to operate with compliance and trust in a European context. Discovering that gap in the middle of a market entry, a cross-border partnership or a regulatory review is a risk that can be avoided.

The Trusted AI Assurance maps these jurisdictional differences, giving organisations a clear read of where they stand against the specific requirements of markets they are entering — before those requirements become obstacles. It is aligned with globally recognised standards including the EU AI Act, the NIST AI Risk Management Framework, ISO 42001 and Singapore’s Model AI Governance Framework, ensuring that what organisations build here is credible and defensible everywhere.

The Trusted AI Assurance is coupled with consultancy guidance — from KPMG or partnered stakeholders — ensuring every assessment leads to a practical path forward. The intent is to give Singapore businesses the clarity and confidence to grow their AI ambitions without having to rebuild trust from scratch in new markets they enter into regionally or globally.

A Framework for Singapore’s AI Ambition: The Four Doors

Beyond the Trusted AI Assurance, organisations can leverage the AI CoE to assess their broader AI strategies through KPMG’s Four Doors framework — four strategic pillars that help Singapore businesses move from isolated pilots to trusted, sustained AI at scale. Together, they address what it takes for Singapore to be not just an AI-capable nation, but a globally trusted one: where the AI solutions developed and deployed here meet the expectations of regulators, partners and customers worldwide.

Value — From Activity to Impact: Establishing the clear metrics and sector-specific solutions needed to distinguish AI activity from measurable business value, across Financial Services, Government, Healthcare, Real Estate, Infrastructure and Manufacturing.

Trust — Trusted-by-Design AI: Built on a human-centric foundation encompassing ten ethical pillars — including Fairness, Transparency, Accountability, Privacy and Sustainability — the Trust pillar puts responsible governance at the centre of AI strategy, rather than treating it as a compliance afterthought.

People — Genuine AI Fluency: Covering sustainable AI workforce strategy, job redesign, leadership development and change management — from executive ignition sessions that build board-level commitment to the behavioural shifts needed to embed AI into everyday working practices.

Data and Technology — Scalable Foundations: Establishing the trusted data and technology infrastructure that enterprise AI requires, supported by KPMG’s proprietary platforms and a market-ready suite of AI tools, with rigorous attention to data quality, system integration, product development and enterprise-wide AI deployment.

For Singapore’s business community, the Four Doors offer a structured path to becoming AI-trusted — not just AI-active. As global regulatory standards tighten and international partners raise governance expectations, that distinction will increasingly determine which Singapore enterprises are positioned to lead in the markets they enter.

Building AI Capability in Singapore

The Trusted AI CoE (the “CoE”) is designed to function as a capability hub to support Singapore’s position as a trusted node in the global community — co-creating knowledge, accelerating innovation and strengthening Singapore’s AI ecosystem across the business community, academia and the public sector.

At its core is a dedicated innovation team of AI/Software Engineers, Solution Architects, Data Analysts, Product Managers, Tech Business Analysts and Designers — 100 per cent Singapore-based and locally hired. This specialist nucleus is complemented by KPMG’s 3,600-strong Singapore workforce and over 275,000 professionals globally, giving the CoE both deep technical capability and multi-disciplinary reach across Audit, Advisory and Tax.

Solutions co-developed through the CoE are pressure-tested with KPMG as default “Client Zero” where appropriate — rigorously iterated across the firm’s own operations before being brought to clients. Initial focus sectors include Financial Services, Infrastructure and Logistics, Manufacturing, Government, Healthcare and Real Estate, alongside functional domains such as Finance, Governance Risk and Compliance, Customer Services and Operations. Strategic partnerships with technology companies, academic institutions and government agencies further support Singapore’s ambition to serve as a trusted and well-governed regional AI hub.

KPMG’s Commitment to Singapore

KPMG is the world’s first professional services firm to attain ISO/IEC 42001 certification for AI Management Systems — the globally recognised standard for responsible AI governance. This underpins every element of today’s launch, reflecting KPMG’s commitment to practising what it advocates: embedding the disciplines of trusted AI governance into its own operations before bringing them to clients.

KPMG continues to invest in Singapore’s AI talent pipeline through international mobility programmes, internal rotations and capability development across data, digital and leadership disciplines — directly aligned with Singapore’s national goal of growing the skilled workforce its AI ambitions require.

ANNEX: Bringing the KPMG Singapore Trusted AI Centre of Excellence to Life

To bring the KPMG Trusted AI Centre of Excellence (AI CoE) to life, guests at the launch were invited to explore four interactive stops (“windows”) showcasing how trusted AI can move from strategy into real-world enterprise and national impact.

Spanning areas including governance, workforce readiness, ecosystem collaboration and SME enablement, the windows offered a practical look at how organisations can scale AI responsibly while building trust, resilience and long-term capability.

FIRST WINDOW – AI Philosophy

The first window introduced guests to KPMG’s Four Doors framework and Trusted AI Assurance – an evidence-based approach designed to help organisations move from AI experimentation to AI that is genuinely trusted by their boards, their customers, and the regulators and partners they encounter as they grow beyond our shores.

Through an interactive scenario set in the financial services sector, the demonstration illustrated how organisations are assessed across four strategic pillars: Value, Trust, People, and Data and Technology. The walkthrough explored whether businesses have the governance structures, workforce readiness, data foundations and operational oversight needed to support trusted, scalable AI deployment.

  1. Value — Whether the organisation has clearly defined what its AI investments are meant to deliver, and whether it has the metrics to distinguish genuine business impact from mere AI activity
  2. Trust — Whether the organisation’s AI is built on a responsible, human-centric foundation — covering governance frameworks, ethical guardrails, risk management, security and accountability for AI-driven decisions
  3. People — Whether the workforce, from board to frontline, has the genuine AI fluency needed to work alongside AI systems, including the leadership commitment, job redesign and capability development required for adoption to take hold
  4. Data and Technology — Whether the data assets, infrastructure and system integration practices are robust enough to support trusted, scalable AI deployment

The experience also demonstrated how AI systems themselves are assessed – including areas such as system documentation, risk inventories, model integration and data platform robustness – highlighting the importance of building AI that is genuinely trusted.

  1. System Card — Whether each AI solution is properly documented, including how it performs and how it is used in practice
  2. Risk Inventory — Whether AI systems across the enterprise have been identified and their risks catalogued
  3. Model Integration — Whether adequate processes and controls govern how AI models are integrated into business workflows
  4. Data Platform — Whether the data foundations underpinning AI outputs — including Retrieval-Augmented Generation (RAG) pipelines and datasets — are fit for purpose

A second stage of the scenario then explored the reality of regulatory diversity across jurisdictions. While an organisation may be assessed as “trusted” in Singapore, areas that require attention may emerge when expanding into international markets such as Europe under the EU AI Act.

The demonstration underscored the growing importance of regulatory readiness for Singapore businesses with international ambitions, and how the AI CoE is designed to help organisations expand with confidence through trusted AI governance.

SECOND WINDOW – AI Journey

The second window focused on KPMG’s “Client Zero” approach, where suitable AI solutions are developed and applied within its own operations under real-world conditions, and in some cases co-developed with clients depending on their specific needs. This model reflects a simple philosophy: credibility in guiding responsible AI adoption must be earned by applying the same discipline internally. This approach is particularly relevant in Singapore’s context, where trust and reliability are central to how AI is being adopted across sectors.

KPMG’s “Client Zero” approach provides a structured pathway for scaling AI responsibly. Solutions are first embedded into live workflows – allowing organisations to address practical considerations such as human oversight, explainability, data handling and accountability – before broader deployment. This mirrors the journey many enterprises in Singapore are now facing, as they transition from pilots to AI that can be relied on consistently in regulated, cross-border environments. This shift is important, as trust at scale is built not through experimentation alone, but through systems that are reliable, auditable, and able to operate consistently across different contexts.

At this window, MOS will see this pathway brought to life with AI applied across real business workflows, through three solutions: KPMG’s Digital Gateway (DG) GenAI, KPMG Clara Intelligence and Kiara. These solutions are already implemented in real-time across KPMG’s various functions.

The first demonstration illustrates how the audit and tax professions are beginning to deploy AI agents within their workflows to enhance how work is performed. Rather than treating AI as standalone tools, these capabilities are being embedded into business processes to support analysis, decision-making and execution in a controlled and accountable manner. DG GenAI, KPMG’s Generative AI capability embedded within our Digital Gateway platform, will be used as a demonstration of how this is operationalised in practice — showing how AI capabilities can be integrated into everyday workflows, with appropriate governance, data security and user controls in place.

The second demonstration presents KPMG Clara Intelligence, an intelligent AI-powered platform which acts as a centralised platform. KPMG Clara Intelligence showcases the future of audit, where AI is used to support data-driven risk assessment, better insights and analysis and decision-making on a single platform. This reduces reliance on manual processes and enables auditors to focus on higher-value judgement, improving both efficiency and audit quality. MOS will see how this reflects a broader shift in the profession — towards AI-assisted workflows that require new skills and deeper analytical capabilities.

This window also highlighted how AI is reshaping the accountancy and professional services sector. As AI becomes embedded into core workflows, roles within the profession are evolving — routine, manual tasks are increasingly automated, allowing professionals to focus on higher‑value judgement, analysis and advisory work. At the same time, this shift requires a broader base of AI fluency across the workforce, not just among specialists, as professionals will need to work alongside AI systems in their day‑to‑day roles.

These changes are driving a wider rethinking of skills development across the sector, including how institutions and employers prepare current and future talent. Efforts are underway to align training and education pathways with these evolving needs, ensuring that individuals entering the profession — and those already in it — are equipped to operate effectively in an AI‑enabled environment. This reflects a broader transition towards a workforce that combines strong domain expertise with AI capabilities, in line with Singapore’s ambition to develop an AI‑bilingual workforce.

The third solution, Kiara, is KPMG’s GenAI recruitment assistant, illustrating how AI can enhance the candidate engagement and streamline scheduling of interviews. This highlights how AI is not only transforming business processes, but also how people work and interact with technology.

Overall, the window demonstrated how these solutions reflect the same principles KPMG advises its clients to adopt: strong data foundations, embedded governance, and human oversight at key decision points – illustrating the practical steps organisations take to deploy AI responsibly at scale, underpinning the rigour required for Singapore to continue its progress as a trusted hub for AI.

THIRD WINDOW – AI Vision

The third window focused on how AI does not merely change the tools organisations use, but changes the nature of work itself – which roles exist, how decisions are made, and what it means to be genuinely capable in a professional environment.

As organisations navigate AI-driven workforce transformation, the showcase highlighted the same set of questions organisations consistently grapple with: which roles are genuinely enhanced by AI, and which risk being hollowed out? Where should organisations invest in reskilling, and on what timeline? How are accountability and professional standards maintained when AI is embedded into decisions that used to rest entirely with a person?

The insight that emerges across sectors is consistent: organisations that treat AI workforce transformation as a technology deployment tend to underinvest in the human dimensions – and that is where adoption stalls, quality erodes or trust breaks down. The organisations that get it right treat it as a leadership and organisational design challenge first, with technology as the enabler.

The window also demonstrated how KPMG Mystro™, an AI-enabled workforce intelligence platform, is used to map how work is done today at the task and decision level, and model where AI can responsibly augment human roles across functions such as finance, audit and operations.

Drawing on examples from finance, audit and operations, the showcase illustrated professionals working alongside AI in ways that redirect their expertise toward work requiring human judgement. More broadly, it reinforced the importance of approaching AI transformation not simply as a technology deployment exercise, but as a broader leadership and organisational design challenge.

Singapore’s commitment to building an AI-bilingual workforce – professionals who are not merely aware of AI but genuinely capable of working alongside it, questioning its outputs and being accountable for the decisions it informs – rests on organisations taking the human dimension of transformation as seriously as the technology itself. The insights at this window speak directly to that agenda: what it takes to build not just AI capability, but the kind of AI-confident workforce that sustains Singapore’s competitiveness over the long term.

FOURTH WINDOW – AI Ecosystem

The fourth window focused on how trusted AI adoption cannot be the preserve of large enterprises alone. Singapore’s economic resilience depends on its SME community — the businesses that form the backbone of the economy and that stand to gain enormously from AI, but that often lack the resources, expertise or confidence to navigate adoption responsibly.

Referencing the DBS Spark GenAI programme and DBS SME AI Playbook – developed through a collaboration between DBS and KPMG, and supported by SkillsFuture Singapore – the showcase highlighted practical pathways designed to help SMEs build awareness and accelerate their AI adoption through tailored pathways depending on their AI maturity.

  1. Start — For businesses at the beginning of their AI journey: practical orientation on what AI can realistically deliver, where to begin, and what foundational steps to take before committing to more significant investment
  2. Accelerate — For businesses that have taken initial steps and are ready to move further: guidance on identifying higher-value use cases, building internal capability and managing the operational changes that come with deeper AI adoption
  3. Scale — For businesses ready to embed AI more systematically: the governance, integration and workforce considerations that responsible scaling requires

The window also highlighted the broader support ecosystem available to SMEs, including a broader ecosystem of over 16,000 solution providers globally via IMDA’s Open Innovation Platform, alongside the SME AI Playbook which offers practical use cases, success stories from real businesses, FAQs and an AI readiness diagnostic tool.

Economy-wide AI adoption – the kind that drives meaningful productivity gains across the full breadth of Singapore’s business community – only happens if SMEs are part of the story. The DBS SME AI Playbook is a direct response to that reality: a practical, accessible entry point into AI adoption calibrated to the real constraints and real ambitions of smaller businesses.

The collaboration between DBS and KPMG reflects how Singapore’s AI ecosystem works at its best: financial institutions, professional services firms, government platforms and businesses working together to make trusted AI adoption accessible to every part of the economy, not just its largest players.

Hashtag: #KPMG

The issuer is solely responsible for the content of this announcement.

About KPMG in Singapore

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

For more details about our structure, please visit .
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