How does TimeHolder AI help overseas companies reconstruct organizational DNA with an intelligent agent legion? | Interview on AI competitiveness

[Ebrun Original]Facing the two major problems of "lack of talent" and "localization dilemma" for overseas companies, an AI company from Shenzhen—TimeHolder AI, is trying to help them achieve global deployment of "intelligent agent legions" with a revolutionary organizational restructuring plan.

It is reported that the Agent OS operating system developed by TimeHolder AI, through the "Agent-as-a-Service" model, creates a complete ecosystem of intelligent employees (AI Agents) for enterprises, forming a new enterprise organization paradigm that is centered around "human + Agent" collaboration instead of being "human"-centered. Each Agent is not just a single tool, but has a "position role" with a fixed social identity, content style, job location, and KPI tasks. It can independently complete tasks and collaborate with other intelligent agents.

As Jim, co-founder of TimeHolder AI, said, "What enterprise CEOs need is not an AI that books tickets or optimizes copies, but intelligent teams that can achieve business results."

For example, the CEO of a DTC overseas brand, when dealing with promoting content on overseas social media (taking TikTok marketing as an example), the previously required operations consisted of social media marketing managers establishing the overall direction of marketing, video directors writing short video scripts, and executing content creation; the team's editing staff editing the video, the social media platform operations staff editing and publishing the short video, ensuring content quality and platform adaptation, and timely interaction with clients; influencer marketing staff needing to contact KOLs and execute influencer marketing plans. However, at Timeholder, these jobs can be taken over by a single Agent.

In other words, one Agent replaces the work of 5 marketing employees, and the system tells the CEO: this week, it generated and posted X number of videos, which brought X times content spread, and interacted with users X times. At the moment, users are discussing brand content, they have contacted X number of KOLs and are collaborating, and more. It provides businesses with concrete service and work goals.

It is reported that since its commercialization in 2022, TimeHolder AI has created over 10,000 Agent employees, covering positions such as business decision analysts, social media operations specialists for TikTok, Instagram, etc., video creation specialists, KOL operations specialists, SEO analysts, TikTok advertising specialists, enterprise BI business analysts, Amazon shelf analysts, listing operations specialists, financial specialists, and more, totaling over 20 different positions.

In Jim's view, the role of AI in the field of globalized brands goes far beyond "acceleration" or "cost reduction," but instead represents a reconstruction of the underlying organizational logic. "In the next 3-5 years, intelligent agents will become the main workforce for enterprises, covering areas from creativity, advertising, social media, content, SEO to data analysis, and the entire operational chain will be replaced or led by Agent modules. At the same time, the ability to design AI organizations will become the core competitiveness of CEOs. Timeholder was born for this trend, where we not only provide Agents but also provide a complete system for building and managing an 'AI organization'," he said.

Under the theme of "What kind of AI competitiveness do new globalized brands need," Ebrun Power invited many cross-border service companies for a series of interviews, sharing how they apply AI technology to elevate the level of services for overseas enterprises, thus helping them enhance their overall competitiveness. Below is the interview content between Ebrun Power and Jim, the co-founder of TimeHolder AI, which has been edited and arranged.

Ebrun Power: Please introduce your company and main business.

Jim: TimeHolder AI focuses on building a complex adaptive system (CAS) for artificial intelligence, through the "Agent-as-a-Service" model to create a complete intelligent employee (AI Agent) ecosystem for enterprises. Enterprise organizations will no longer be centered around "humans," but around "human+Agent" collaboration, thereby forming a new organizational paradigm.

We began in Shenzhen and have branch offices in Hong Kong, Singapore, and Tokyo. Since its commercialization in 2022, we have created over 10,000 Agent employees, covering positions such as business decision analysts, social media operations specialists for TikTok, Instagram, etc., video creation specialists, KOL operations specialists, SEO analysts, TikTok advertising specialists, enterprise BI business analysts, Amazon shelf analysts, listing operations specialists, financial specialists, and more, totaling over 20 different positions. Our AI agents currently cover markets in the U.S., Japan, the Middle East, Europe, etc., and by 2024, our agents will have collectively completed 10 billion social interactions.

We are more like the underlying technology of Palantir, a complex adaptive system, with Timeholder's OS as a Fusion system. Our main focus is on data fusion, information fusion, model fusion, multimodal fusion, and so on. In addition, we are always moving forward in the direction of digital life, so we have independently developed bionic science models, brain feedback models, etc., and will also integrate them. Our aim is for each agent to become similar to a human, as our intelligent bodies currently resemble that of a "working person."

The goal of Timeholder AI is to become a "smart body partner" for enterprises rather than simply providing a service output. We hope to provide organizations' positions roles, incorporate the OKR system, and evaluate them equally with human employees. Agents who perform poorly will be optimized for intelligent departments.

Ebrun Power: What are your products and their core application scenarios? How do they help global brands/overseas companies enhance competitiveness and address business pain points?

Jim: Our core product is the TimeHolder Agent OS intelligent agent operating system, which creates "intelligent body teams" that can be integrated into an enterprise's organizational structure. Each Agent is not just a tool, but has a "position role" with a fixed social identity, content style, job location, and KPI tasks, and can independently complete tasks and collaborate with other intelligent agents. They are not just tools that are temporarily called on, but actual members that can be integrated into the organizational structure.

As an example for a common DTC brand: as a brand's CEO, the promotion of TikTok's brand originally required: social media marketing managers to set the overall direction for marketing, video directors to write short video scripts, execution of content creation, the team's editing staff to edit videos, social media platform operations staff to edit and publish short videos, ensuring content quality and platform adaptation, and interacting with customers in a timely manner, as well as influencer marketing staff needing to contact key opinion leaders (KOL) and execute influencer marketing plans.

However, at TimeHolder, these jobs can be taken over by a single Agent. You don't need to recruit "5 marketing employees;" you only need an Agent. The system tells you: this week, it gen-AI'd X number of videos and published them, brought X number of content interactions, and interactions with users X number of times. At the moment, users are discussing the brand's content, and have contacted X number of KOLs for collaboration. We provide businesses with work goals and business results.

In 2025, in the cooperation between Timeholder AI and Google's DTC brand Agent project, Timeholder, as the technical provider of agent OS, helped a certain brand solve multiple challenges in its initial overseas expansion phase: in TikTok marketing, the brand had difficulty attracting American users, and cooperation with KOL on YouTube was hindered by cultural differences. These issues were resolved through Timeholder's AI intelligent agent team—intelligent agents analyzed trends and tags on TikTok and generated localized short videos, while incorporating local languages into professional educational videos on YouTube, thus optimizing KOL collaboration and ensuring cultural adaptation.

In summary, Timeholder has several core values for overseas companies:

(1) Cost reduction and efficiency improvement: One AI intelligent agent can replace 5 traditional employees, with a working time 3.1 times that of American employees and 2.1 times that of Chinese employees, and the costs are respectively as low as 5% of American labor and 20% of Chinese labor.

(2) Addressing pain points: Take DTC brands as an example, traditional marketing requires collaboration among multiple roles (such as social media manager, video director, KOL officer), while our intelligent agents can takeover the entire process, generating content, posting videos, interacting with users, optimizing advertisements, significantly reducing recruitment and management costs.

(3) Global localization: Each agent has contextual models for specific countries or regions, adapting to different cultural customs and styles of expression.

Structural organizational replacement: From content, advertising, SEO to BI, forming a closed-loop operation, achieving systematic replacement of traditional operation teams.

Ebrun: How has the rapid development of large-scale model and generative AI technology brought changes/upgrades to your products?

Jim: There have been several upgrades in the following areas:

(1) Transition from "tools" to "intelligent agents". In the past, AI tools could only passively respond to instructions, but now agents can actively plan goals, break down tasks, execute processes, and automatically attempt alternative paths when tasks fail.

(2) Transition from "single-point capability" to "organizational-level collaboration". We no longer pursue the extreme of a single model, but build an Agent network with a collaborative mechanism, with clear upstream-downstream relationships and goal-bound relationships between each Agent, achieving "multifunctional collaboration" similar to human organizations.

(3) Transition from "using AI" to "organizational redesign". The improvement in Agent capabilities means that we can redesign the enterprise's job system. A growth team that originally required 10 people can now be completely replaced by 30 AI Agents, and operate round the clock, far exceeding the efficiency of human teams.

In summary: We are not adding AI to the organization, but constructing an organization from AI.

AI technology transforms service-type products from "passive tools" to "active job roles". Traditional marketing relies on human collaboration, with limitations in timeliness and consistency, while our intelligent agents support 24/7 operations, with advertising responsiveness improved by 3.4 times, completely reshaping operational models for cross-border e-commerce and brand overseas expansion. Industry competition is shifting from "people-driven tactics" to "algorithm-driven organizations", and the intelligent agent team has become the core competitiveness of enterprises.

Ebrun: How has your technology and product advantages accumulated?

Jim: Our technology originates from the development of complex adaptive systems (CAS): Since 2017, we have focused on data fusion, model fusion, and multimodal fusion, establishing a bottom-level technical architecture similar to Palantir, with high adaptability and scalability, independently developed bionic science models and brain feedback mechanisms, enabling intelligent agents to be closer to human work logic, comprehend targets, and optimize independently.

TimeHolder's technological advantages have evolved not only from technological models, but also from the development through real customer services over the past three years, demonstrating strong executability and practicality. Our accumulated advantages are primarily reflected in:

(1) Intelligent agent system honed from real-world tasks. Over 10,000 intelligent agents in practice: the average "employment age" exceeds 3 years, with a cumulative completion of over 10 billion worldwide transmissions, verifying the system's stability and efficiency.

(2) Product architecture from tool to organizational system. We have built a complete set of systems for Agent management, including Agent instruction scheduler (to ensure collaboration between intelligent agents); workflow engine (to ensure task sequencing); KPI tracking and feedback system (to evaluate agent effectiveness); and multimodal interaction system (capable of operating with text, images, and videos).

(3) Global data loop. Our clients are spread across North America, Europe, Japan, and Southeast Asia, and the long-term execution of cross-cultural content creation and advertising optimization tasks by agents has precipitated a vast amount of multi-lingual, multi-cultural, multi-platform task experience, forming a powerful knowledge map and behavioral habit data.

Ebrun: From the perspective of the industry segment you are in, how is the application and effectiveness of AI technology and AI tools for global brands/outbound businesses? What are the changes and challenges in this process?

Jim: Our observation is that most outbound enterprises are in the "AI tool trial" phase, typical manifestations being: using ChatGPT to write texts; using Midjourney for product graphics; and using automatic translation tools for localization. While this has indeed improved content productivity, it is far from the "organizational transformation."

The main challenges faced by enterprises include:

(1) Cognitive differences. Many enterprises view AI as a tool rather than an opportunity for organizational upgrade. They are accustomed to deploying AI as a "replacement for a content creator" and not considering how to build an entirely new global operating system with 100 intelligent agents.

(2) Organizational resistance. AI agents require a reconfiguration of task processes, a redesign of human-machine collaboration mechanisms, and a redesign of assessment systems. The existing human organizational structure lacks a mechanism to accommodate agents, resulting in low deployment efficiency and implementation difficulties.

(3) Difficulty in establishing trust. Enterprise managers often worry about the stability, controllability of results, and security of data for agents. This requires long-term practice and systematic management platform to build trust.

Ebrun: What are your observations on the application of AI in the field of global brand/cross-border e-commerce, and what trends do you foresee in the next few years?

Jim: We believe that the role of AI in the field of global brand localization goes beyond "acceleration" or "cost reduction", and instead constitutes a fundamental reshaping of organizational logic. The following trends are expected to emerge in the next 3-5 years:

Trend 1: Agents will become the primary staff, and AI organizations will become the mainstream form. The organizational structure of enterprises will transition from "departments + people" to "systems + people + agents". Agents will assume the majority of basic executive work, and core personnel will focus on strategy, coordination, and innovation.

Trend 2: Brand operations will achieve full-chain intelligent body substitution. From creativity, advertising, social media, content, SEO to data analysis, the entire operation chain will be replaced or led by Agent modules. What enterprises need is not an "AI toolbox", but an "AI team".

Trend 3: The capability of AI organizational design will become the core competitiveness of CEOs. Future CEOs need to understand technology, organizations, and operations, and be able to design a system that enables efficient collaboration between people and agents. Without organizational restructuring capabilities, AI cannot be utilized effectively.

TimeHolder was born for this trend. We not only provide agents, but also a complete system for building and managing an "AI organization", helping enterprises truly achieve the transition from "labor-intensive" to "intelligent-body-driven".

AI enters commercial reality, and brands and cross-border e-commerce take the lead. The 2025 Global New Brand AI Competitiveness Conference is scheduled for June 6th in Hangzhou. With the theme of "evolutionary choice", the conference is jointly organized by Ebrun and Jia Yu Capital. Follow for more details: