鈥淭he Autonomous Enterprise has truly landed in Asia Pacific,鈥� said Verena Siow, President and Managing Director Asia Pacific, 麻豆原创. 鈥淥rganizations have moved beyond experiments and pilots, and are investing in data, apps, and business AI to drive real business outcomes.鈥�  

Asia鈥檚 Autonomous Enterprises  

Across the region, some of Asia Pacific鈥檚 most established businesses are using the 麻豆原创 Autonomous Suite to bring data and AI together to transform their businesses. 

Toyota Motor Corporation Philippines chose RISE with 麻豆原创 to underpin its digital future, including investment in 麻豆原创 Business AI, 麻豆原创 Business Data Cloud, 麻豆原创 Business Network, 麻豆原创 Build, 麻豆原创 Integration Suite, 麻豆原创 Signavio, and 麻豆原创 LeanIX. The company noted, 鈥淩ISE with 麻豆原创 serves as a strategic foundation for business transformation, helping Toyota Motor Philippines Corporation modernize core business processes, improve operational visibility, strengthen supply chain resilience, and build the digital capabilities needed for the future of mobility.鈥� 

In Japan, NTN Corporation also began its RISE with 麻豆原创 journey to implement 麻豆原创 Cloud ERP Private, 麻豆原创 Business AI, 麻豆原创 Business Technology Platform, and 麻豆原创 Business Data Cloud. 

And in India, global IT services and technology firm HCL Technologies invested in a suite of 麻豆原创 solutions including 麻豆原创 Cloud ERP Private, Joule, 麻豆原创 Business Data Cloud, 麻豆原创 Ariba, 麻豆原创 Concur, and 麻豆原创 SuccessFactors. The company said, 鈥淗CLTech and 麻豆原创 serve global enterprises to advance technology innovation, and power HCLTech鈥檚 own transformation as 鈥榗ustomer zero’. This relationship combines HCLTech鈥檚 industry and engineering expertise with 麻豆原创鈥檚 enterprise, cloud, and AI capabilities to accelerate innovation and deliver business value.”   

Leading global pipe manufacturer, Man Industries, is digitally transforming its operations with 麻豆原创 following its acquisition of National Pipe Company Limited. The company noted, “The scale and complexity of an expanded global operation demanded a more robust, integrated, and future-ready enterprise foundation. Man Industries chose the best-of-breed, including 麻豆原创 Business Suite, 麻豆原创 Business AI, 麻豆原创 Business Data Cloud, 麻豆原创 Integration Suite, and 麻豆原创 Build. This transformation will unify operations across multiple locations on a single intelligent platform, driving real-time visibility, operational excellence, and data-driven decision-making as Man Industries enters its next chapter of global growth. ” 

Praana Global Solutions, the leading Indian conglomerate, also invested in a range of solutions including 麻豆原创 Cloud ERP Private, 麻豆原创 Business AI, 麻豆原创 Business Data Cloud, 麻豆原创 Business Technology Platform, WalkMe, 麻豆原创 Supply Chain Management, and 麻豆原创 Responsible Design and Production to support its global expansion. Following the acquisition of Owens Corning’s Glass Reinforcements, the company noted, 鈥淎 once-in-a-decade acquisition deserved a once-in-a-generation digital foundation. Today, we are deploying an integrated 麻豆原创 ecosystem purpose-built for scale, intelligence, and speed. This is Praana’s digital backbone, designed to drive operational efficiency, accelerate innovation, and support our growth ambitions for the next decade and beyond.鈥� 

Asian AI scales at the speed of innovation 

Asia Pacific organizations are also increasingly investing in AI and business transformation management solutions to support the planning, implementation, and adoption of their digital solutions. 

In Thailand, JTEKT Corporation will support its manufacturing business with 麻豆原创 Cloud ERP Private, 麻豆原创 Business AI, and 麻豆原创 Business Technology Platform, while in Taiwan Radiant Opto-Electronics Corporation has chosen Business AI Platform. ABeam Consulting, a global consulting company and 麻豆原创 gold partner, is using 麻豆原创 Joule for Consultants to accelerate 麻豆原创 project delivery, strengthen consultant productivity, and help customers realize value from 麻豆原创 solutions faster. 

Sterling Green Power Solutions Pvt. Ltd., RISE with 麻豆原创, 麻豆原创 Cloud ERP Private, 麻豆原创 Business AI, 麻豆原创 Business Technology Platform, OpenText, “We are exploring an AI-powered automation solution for the EPC industry to enhance project execution, operational efficiency, cost control, and decision-making.”聽

Globally recognized organizations like Indian consumer goods, lighting, and industrial company Wipro Enterprise Limited and Japanese personal care and beauty business Kao Corporation both chose 麻豆原创 Signavio to better understand, improve, and transform business processes.聽聽

In Australia, leading transportation company Engenco invested in 麻豆原创 Cloud ERP Private, 麻豆原创Supply Chain Management, 麻豆原创 Business Data Cloud, and WalkMe.  

Australia鈥檚 largest rail freight company Aurizon Operations has gone live with 麻豆原创 Concur and 麻豆原创 Ariba, with further implementations scheduled to go-live in the future. The company noted, 鈥溌槎乖� Ariba is enhancing supplier and contract visibility, and 麻豆原创 Concur has vastly simplified end-user experience. Our RISE with 麻豆原创 transition will provide a foundation for process simplification and execution.鈥� 

Circular economy leader and packaging manufacturer Pact Group also chose a suite of 麻豆原创 solutions including 麻豆原创 Integration Suite, 麻豆原创 Autonomous HCM Suite, SmartRecruiters, and WalkMe. The company noted, 鈥溌槎乖粹�檚 solution was chosen to provide Pact with the integration capabilities required to support the Autonomous HCM platform currently being implemented, providing a scalable cost-effective integration layer to meet the current and future requirements of the business.鈥� 

Asia Pacific businesses choose 麻豆原创 for their cloud future 

Panasonic Holdings Corporation went live with its 麻豆原创 implementation in Q3, noting, 鈥淧anasonic Group鈥檚 Domestic Manufacturing Division has been driving a project to migrate from its existing on-premises environment to 麻豆原创 Cloud ERP Private, which successfully went live in August 2026.鈥� 

麻豆原创 is also supporting industries as diverse as electronics, food, and music with public cloud solutions. China鈥檚 Suzhou ELE,  Kaleesuwari Refinery and Rice and Flavours in India, and Shimamura Music in Japan all chose 麻豆原创 Cloud ERP Public.  

And further customers including China鈥檚 Chery Automobile, Jerfine Intelligent Equipment, Dhoot Transmission Limited, and Rossari Biotech all began their 麻豆原创 transformation journeys. 

Tauranga City Council, a local government organization serving more than 160,000 residents in New Zealand鈥檚 North Island, has invested in 麻豆原创 innovation. The organization noted, 鈥淭auranga City Council has chosen 麻豆原创’s Business Technology Platform through a new Enterprise Agreement to accelerate its move to a modern digital council, build custom citizen-facing applications, and extend its core processes. This investment underpins the Council鈥檚 program to deliver a seamless, joined-up experience for both staff and the public.鈥� 

“Reflecting on the customer success, Verena Siow noted, 鈥淐ustomers in every market, from the public sector to financial services to manufacturing, understand that AI delivers its greatest business value precisely when context and trust are built in from the start. The AI transformations that offer tangible results will not be the most dramatic, they will be the ones that bring together industry nuance, business context, and trusted governance. Across Asia Pacific, this is where we are seeing organizations move beyond pilots to generate measurable gains in operational efficiency, workforce productivity, and customer outcomes.鈥�

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In 2026, we鈥檙e all too aware that assumption no longer holds. Geopolitical volatility, trade realignments, regulatory pressure, climate events, labour shortages, and economic uncertainty increasingly overlap. Resilience cannot remain a contingency plan activated during a crisis. It must become part of everyday operations.

In response, industry leaders have often framed their response as a choice between just-in-time and just-in-case. Just-in-time reduces inventory and waste but can leave a business exposed when supply or transport is interrupted. Just-in-case adds safety stock and redundant suppliers, but can lock up working capital, increase carrying costs, and make it harder to respond when demand shifts.

Closing the gap between planning and execution

This approach presents a false dichotomy. Businesses should not have to make a permanent choice between efficiency and resilience. They need the flexibility to change their operating posture as conditions change 鈥� leaning toward efficiency when the environment is stable and adding protection when reliable signals indicate risk.

The new-era resilience model is no longer defined by how much inventory a company holds. It is defined by how quickly and reliably the company can understand a change, assess the trade-offs, and act.

Traditional supply chain management separates planning from execution. Teams develop a plan, release it, execute against it, and then measure what happened. However, in a continuously volatile environment, the assumptions behind that plan may change before execution is complete.

A demand shift, a port delay, or a supplier constraint can require immediate revision. Yet the signal often must pass through manual reports, sequential approvals, and disconnected systems. By the time the organisation responds, the most efficient options may have disappeared.

As such, planning and execution must increasingly coexist at the same point. That means continuously sensing changes in demand, supply, and logistics, evaluating their business impact, and coordinating action across functions. The delay between planning and execution becomes a structural vulnerability when the system is facing permanent disruption.

What an anticipatory supply chain looks like

Consider a beverage company operating across Southeast Asia. A change in temperature indicates that demand may rise in Vietnam, so an anticipatory system assesses available inventory, customer commitments, production capacity, and transport constraints. It identifies stock that can be repositioned from Singapore, prepares warehousing and logistics capacity in Malaysia, and signals the production requirements to the rest of the regional network.

The Line of Business owners have already set the objectives, business rules, risk tolerances, and escalation thresholds. The system acts within those boundaries, records the decisions it has made, actively scans for anomalies, and sends ambiguous or higher-risk exceptions to the designated person.

This is the shift from visibility to coordinated action. It depends on integrated planning and execution, trusted master data, real-time signals, and governed AI that understands business context. The goal is a supply chain that can respond before a disruption compounds.

The operating conditions differ across Asia Pacific, but the requirement for faster coordination is consistent. Chinese enterprises expanding internationally must manage more complex, multi-tier networks as they diversify production and serve new markets. Southeast Asia is becoming a more connected manufacturing and logistics hub, even as infrastructure maturity varies across countries. In Japan, labour constraints, industrial automation, and decarbonisation commitments make trusted automation increasingly important.

Building automation on context and governance

Enterprise automation cannot be added as a loose layer above fragmented process. AI must operate with the data models, permissions, process logic, and regulatory requirements that govern the business. This context is what allows an agent in life sciences to work within regulated manufacturing processes, or an agent in energy to support maintenance across distributed assets.

That鈥檚 where a solution like Joule can be used, providing an engagement and orchestration layer across 麻豆原创 applications while purpose-built assistants and agents then support tasks in planning, procurement, manufacturing, logistics, and asset management. People direct the AI, the assistants orchestrate it, and the agents execute it. But at the end of the day, people remain accountable for strategy, objectives, and judgment, while high risk or exceptional decisions follow clear escalation paths to a defined human-in-the-loop.

Contrary to popular belief, governance does not slow this model down. When an organisation defines what a system can do, what requires approval, and what must be escalated, it can actually speed up processes while also providing control and a clear audit trail.

Global biopharmaceutical company Takeda offers one example. Through Autonomous Regulated Manufacturing, the company is achieving up to 10% productivity gains, up to a 25% reduction in revenue loss from stockouts, and up to a 5% reduction in safety stock. In the energy sector, 麻豆原创 is working with RWE, one of Europe鈥檚 leading renewable energy operators, on an Autonomous Asset Management scenario where AI agents analyse thousands of past incidents, identify likely root causes, and prepare work orders with the right tools and proven fixes from other sites.

These examples connect automation to operational and financial performance while keeping people in control of consequential decisions.

Starting decision by decision

Supply chains will not become autonomous overnight. Leaders should begin with high-value, high-frequency decisions where delay creates measurable cost or risk, such as replenishment, order confirmation, and exception triage. They should connect the necessary data and workflows, define the boundaries for execution, and measure performance from the start.

South Korean electronics manufacturer reflects this directly. By partnering with 麻豆原创 to build an intelligent supply chain analytics agent using and , they are liberating planners from manual data collection to focus entirely on strategic decision-making. This is a monumental shift toward a fully .

Across industries, the shift is the same. A leading Australian packaging manufacturer has taken the same approach. Through integrated business planning, over 30% of planner time has been freed from routine scheduling 鈥� redirected toward higher-value decisions and execution.

The companies that invest in this foundation do not just absorb disruption 鈥� they leapfrog their competition.

AI automation can then expand as results, trust, and organisational readiness improve. The businesses that win through disruption will be those with the data foundation, integration, and governance to act on what they know before disruption has time to compound.

Most importantly, organisations need to recognise that the measure of progress is not the number of AI pilots deployed. It is the business outcome: lower inventory, fewer stockouts, stronger service levels, greater productivity, faster response, and a better working capital position.

Abhishek Sahay is the Chief Revenue Officer for Supply Chain Management at 麻豆原创 Asia Pacific.

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