Over the past several decades, the business world has undergone multiple major transformations, from the personal computer era to the internet age, from digital transformation to the cloud era. Today, leaders worldwide face another significant transition, which is the advent of the Autonomous Enterprise era.
The business world is moving into an era where AI is no longer just a tool to assist work but has become an integral part of business processes across all dimensions — from production planning, procurement, financial and human resource management to certain levels of business decision-making.
Global reports and conferences over the past two years have raised a common question: How can organizations build a digital workforce to collaborate effectively with humans? And who will have the advantage when productivity is no longer measured solely by employee headcount but by the ability to integrate AI into every organizational process?
For Thailand, this question carries even greater weight. While many countries accelerate investment in AI infrastructure and compete to build the organization of the future, numerous Thai businesses are still managing legacy systems, scattered data collection, and human-dependent workflows.
Thairath Money reporters spoke with SAP executives at Sapphire 2026 about Asia's potential and readiness, particularly Thailand's, and how prepared Thai organizations are to step into the Autonomous Enterprise. In an era where AI becomes a crucial mechanism enabling organizations to operate faster, smarter, and more efficiently across all business processes, while many emerging markets still face obstacles in digital transformation, how should they prepare to respond?
An Autonomous Enterprise refers to a future business model based on the concept that humans set the direction while AI executes tasks, with strict governance systems in place at every step.
This concept does not aim to replace humans with technology. Humans remain central in setting goals, defining strategies, and making policy decisions. AI agents function as "digital colleagues," intelligently handling administrative and repetitive tasks with greater speed and accuracy.
In summary, an Autonomous Enterprise is an organization that integrates AI into core workflows across all dimensions, enabling every business function to operate automatically, rapidly, and with significantly enhanced effectiveness.
However, looking at the current situation, most businesses worldwide have not yet reached this point. Many organizations are still at the early stage of using AI as an assistant rather than as an executor — for example, to help write documents, summarize information, provide customer service, or assist employees in finding internal knowledge.
The Autonomous Enterprise concept represents a higher level where AI is embedded directly into core business processes, capable of connecting data from various systems, analyzing situations, and autonomously performing some tasks within human-defined frameworks.
This is a key topic in executive meetings worldwide. The main question is not about the technology itself but about data infrastructure, legacy systems, and workflows designed before the AI era.
For Thailand, the situation mirrors many countries globally. Nonetheless, SAP views Thailand as being at an interesting point: on one hand, many large organizations must accelerate managing legacy systems and dispersed data to build a foundation for AI in the long term; on the other hand, Thai small and medium enterprises have the opportunity to leap forward faster than before.
Although the Autonomous Enterprise may sound like a distant future, in reality, many Thai organizations are already on this path, albeit with varying degrees of progress and application across industries.
A clear example is AIS, which is undergoing organizational transformation through the RISE with SAP program by restructuring core business systems from ERP and procurement to finance, to establish a foundation for future AI adoption.
Interestingly, AIS's success did not begin with AI adoption but with managing the organizational foundation — improving workflows, organizing data, and applying the Clean Core concept to reduce legacy system complexity. SAP sees this as a critical prerequisite for truly becoming an Autonomous Enterprise.
In the agriculture and food sector, CP Foods leverages digital technology and AI to support sustainability goals by managing environmental data and operating a Sustainability Control Tower to track Carbon Neutrality objectives. This shows that the transition to Autonomous Enterprise extends beyond operational efficiency to include organizational sustainability management.
Another company, Mitr Phol, is cited as an example of a large consumer goods and agriculture organization shifting from a traditional to a digital enterprise by centering its business around data and cloud systems.
Liher Urbizu, President and Managing Director of SAP Southeast Asia, said that Thailand, as an emerging market, rapidly embraces and adopts AI, and that transitioning to an AI-driven Autonomous Enterprise is no longer a future concept but can begin immediately.
This is supported by a combination of three main drivers: continued economic growth in the region, expanding international trade that increases business complexity where AI can clearly enhance efficiency, and favorable demographic structures.
Southeast Asia still has a large working-age population, especially younger generations familiar with technology, open to innovation, and quick to learn new tools. Meanwhile, developed countries like Singapore and Japan rely on AI to address aging societies and labor shortages.
Although many view the U.S. and China as AI competition hubs, SAP, which develops enterprise software for leading industries worldwide, sees the Asia-Pacific (APAC) and Southeast Asia regions as among the fastest to implement AI in real-world applications.
Verena Siow, Head of Business Suite for APAC at SAP, shared the insight that customers in this region show strong interest in AI adoption, often with greater enthusiasm than other parts of the world.
"Emerging countries like Thailand, India, and Vietnam see AI as a leapfrog opportunity to overcome existing limitations, enhance productivity, and competitiveness. Thus, AI is the answer for both developed and developing nations, though for different reasons."
Additionally, the SMB segment is key because ASEAN economies are primarily driven by small and medium-sized businesses, which generally face fewer legacy system burdens, enabling faster AI adoption compared to organizations in developed countries.
Varun Thamba, Head of AI for APAC at SAP, added that APAC is currently the fastest-growing market globally for new companies adopting public cloud solutions like SAP GROW, which has the advantage of embedded AI ready for immediate use.
This regional enthusiasm is reflected in clear figures: 25% of global usage of Joule, SAP's AI assistant, comes from APAC, representing a very high proportion and demonstrating the region's outstanding AI application.
In Thailand, 103 organizations currently use SAP Business AI features in actual workflows. While this number is less than Singapore's 231 organizations, it indicates AI is moving from experimentation to real business operations in Thailand.
SAP does not see AI competition driven solely by large enterprises. On the contrary, small and medium businesses benefit most from AI. In APAC, over 80% of customers are SMBs, and in Thailand, this segment generates more than 80% of the economy's revenue. Hundreds of thousands of small businesses nationwide can bypass legacy constraints and directly adopt AI through the public cloud.
Varun outlined the market readiness as an 80/20 split:
To help the 20% transform faster, there are now comprehensive software platforms designed to facilitate migration, such as SAP's RISE with SAP, which can reduce cloud migration time by up to 35%.
Liher added that historically, AI investment was a privilege of large organizations with big budgets, data science teams, and infrastructure. But the world is changing: new cloud ERP systems come with AI embedded from the start, covering finance, procurement, supply chain planning, warehouse management, and sales forecasting. Businesses no longer need to build AI themselves; they can simply activate existing AI features.
For organizations using new cloud ERP, installation and deployment can be completed within 2-3 months, unlike the on-premise ERP era that required years of process design and system customization. In the cloud ERP world, you simply enable desired features and maintain a clean core system.
"Once the system is ready, adding AI agents or upgrading capabilities can be done almost immediately, without waiting for traditional upgrade cycles. This democratizes automation opportunities for small businesses without the need to develop AI from scratch," Liher said.
To fully leverage AI agents' potential, organizations must simultaneously establish both technological infrastructure and organizational culture foundations.
Technological Foundation
Business and Cultural Foundation
The author hopes this article offers valuable perspectives for Thai businesses preparing for the Autonomous Enterprise era, where advantage no longer belongs to those with the smartest AI. Today, AI costs are lower, access easier, and availability greater than ever. The cloud is making world-class technology accessible to both large and small enterprises.
Organizations that can manage data, adjust workflows, cultivate culture, and enable effective human-AI collaboration may determine whether AI becomes a force for Thailand's "leapfrog" progress or merely widens the gap between leaders and followers.
Although Thailand has not yet reached Western levels, several factors could accelerate the country's progress faster than expected, especially among SMBs, which are the backbone of the Thai economy.
This overall picture shows that the Autonomous Enterprise is no longer just theoretical but is happening across industries — from telecommunications, food, and agriculture to manufacturing and small businesses. It marks the start of a major transition where many Thai organizations have moved beyond AI experimentation to embedding AI as a core part of their operations — the first true step toward becoming an Autonomous Enterprise.
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