2026 marks a significant milestone for Salesforce Taiwan in its commitment to the local market. Under the leadership of General Manager Chia-Sheng Hsu, Salesforce will officially surpass 1000 companies in Taiwan, primarily serving the manufacturing and service industries, while also including financial institutions with stringent cybersecurity requirements. Facing the transformative impact of generative AI on various industries, Salesforce announced it will further integrate its professional local team with its Agentforce solution, covering 16 industries, to enhance enterprise resilience and agility, fully supporting Taiwanese businesses of all sizes in accelerating their transition to the "Agentic Enterprise" era.
"Intelligent Automation Enterprise" Reshapes Operations: Seamless Collaboration Between Talent and AI Agents
Salesforce defines a new business model – the “Automated Enterprise” – which is not simply about importing AI tools, but about enabling businesses of all sizes to achieve 360-degree collaboration through the deep integration of “data, AI and talent”.
In an intelligent and automated architecture, human intelligence will work closely alongside agentic AI. Salesforce has observed that the adoption and acceptance of AI agents within enterprises is already quite high. AI will take over tedious processes, empowering employees to focus their energy on tasks with higher strategic value, thereby making every customer interaction more in-depth and of higher quality.
Furthermore, through natural language interfaces, employees can now more intuitively and easily drive complex processes and extract data insights, truly transforming AI into an intrinsic driving force for daily operations. While optimizing cross-departmental processes and reducing operating costs, businesses can also rely on Salesforce's robust security and governance mechanisms to ensure that AI applications comply with regulations and significantly reduce potential risks.
Learning from Japan's experience and localization strategy: dual-track sales and customized technical support
To better meet the actual needs of Taiwanese businesses, Salesforce has also made a clear outline of its localization strategy.
In terms of organizational structure, Salesforce Taiwan is currently under the jurisdiction of the Japanese branch. This structure brings a major strategic advantage to Taiwan: the Taiwan team can learn a great deal from the mature experience of the Japanese market in AI applications and digital transformation, and flexibly promote it to the Taiwan market (of course, these experiences will be deeply localized, rather than being directly copied).
In terms of team building, Salesforce has deployed a complete business and technology team in Taiwan. In terms of sales channels, it adopts a dual-track approach of "direct sales" and "sales through partners" to expand its market reach; while dedicated technical personnel focus on providing in-depth customized technical services to address the specific pain points of customers in different industries.
Infrastructure upgrades: Plans to apply to headquarters for a "Taiwan Local Data Center"
In addition to the advancement of the software platform, the deployment of infrastructure was also a highlight of this event. Currently, Salesforce's Taiwan customers mainly use data centers located in Japan and Singapore. Considering the strong demand from Taiwan's financial industry and high-tech manufacturing industry for "data localization" and "maximum compliance," the Salesforce Taiwan team revealed that they plan to formally apply to the global headquarters to activate a "Taiwan local data center," hoping to provide local enterprises with a cloud computing environment with lower latency and better compliance with regulatory requirements in the future.
Agentforce has topped the AI CRM rankings for 12 consecutive years; its four-layer architecture is broken down.
To realize its vision of a "smart, automated enterprise," Salesforce launched the highly integrated Agentforce platform. This platform is essentially a "secure operating system" designed for deploying large-scale AI agents, built on a robust four-layer architecture:
• Data 360:It provides highly integrated data, metadata, and context, enabling AI agents to make accurate inferences and take action.
• Customer 360:The built-in business logic, workflows, and governance mechanisms of the enterprise system are key to ensuring that AI agents possess "enterprise-level accuracy" and "absolute compliance".
• Agentforce:Provides large-scale practical tools for building, managing, deploying, and coordinating AI agents.
• Engagement Layer:In all work scenarios, such as communication software and enterprise portals, AI agents can be naturally accessed by employees and customers.
