Call for Agentic Transformation Builders: Tezign Technology Initiates Recruitment for Co-Builders of Intelligent Agents

Tezign Technology opens the Agentic Transformation co-building program to co-builders in the fields of enterprise, research, education, and creation. Most enterprises have moved past the question of whether to use AI; the issues have become more specific and challenging: once AI enters real business and organizational processes, how to adapt existing management rules, how to engage in complex judgments without standard answers, and how to deliver measurable results.

Background of the Agentic Transformation Co-Building Program

Transitioning from using AI to working alongside AI is not a natural leap. Economist Paul David wrote in "The Dynamo and the Computer" that in the initial decades of electrification, factories merely replaced steam engines with electric motors while retaining old layouts and management practices, resulting in no significant productivity gains; it was only when companies redesigned processes and organizations around electricity that the benefits were truly realized. The agent in a business is akin to the electric motor in a factory: introducing technology is just the beginning; restructuring processes and organizations around the technology is the key to transformation.

Cross the Chasm1890s — same factory, new motorIndividual: Business as constant, technology as variable. Intelligence as "COMMODITY"1920s — factory redesigned around electricityCompany: Redesign the Business. Intelligence as "COMPETENCE"

Having more tools does not equate to having new capabilities; generating once, analyzing once, and suggesting once does not mean that enterprises have truly gained sustained value. The real challenge is how to enable AI to stably participate in understanding, judgment, collaboration, and execution in real business, and how to ensure that results feed back into the next round of work, forming a capability for sustainable evolution.

Tezign Technology believes that the core proposition of Agentic Transformation is: Agent is a means, Transformation is the result. The focus of the co-building program is not on more demonstrative agents, but on new operational methods and continuous evolution capabilities for enterprises.

The Divide Between Enterprise-Level Intelligent Agents and Personal AI Tools is Context

The divide between enterprise-level intelligent agents and personal AI tools is whether the enterprise has formed its own contextual system. There are many general intelligent agents and packaged technical solutions, but they are more akin to a blank form; enterprises need to build a business model on this form that supports multi-step collaboration, permission control, and complex processes, embedding experience into the system.

How to Ensure Intelligent Agents Operate Long-Term in Enterprises

Tezign GEA (Enterprise-Level Intelligent Agent System) is Tezign's self-developed enterprise-level intelligent agent system, with the core proposition of "enabling AI not only to answer questions but also to continuously advance work to results." It is built on a three-layer architecture: the enterprise context (Context System) connects content, data, rules, relationships, and decision trajectories, forming a sustainable evolving enterprise memory; long-range intelligent agents continuously perceive signals, manage goals, plans, and states, advancing results amidst changes, and proactively returning to humans when judgment and authorization are needed; production-level governance embeds evaluation, permissions, auditing, human supervision, and flexible deployment into every action. The long-range agent runtime mechanism allows agents to maintain goals and states across dialogues, systems, and time, continuously advancing business according to the closed loop of "signal → planning → execution → optimization → back to new signals."

The Subjective World Model (SWM), based on real user data from over 1 million users globally, enables agents to provide verifiable results in preferences and choice logic. As of September 2026, Tezign Technology serves over 180+ enterprise clients, including over 60+ Fortune 500 companies.

Categories of Co-Builders

The co-building program does not preset a single role for participation. Enterprises, institutions, and individuals facing the question of "how AI can truly change real business processes and operations" can all participate.

The co-building program is aimed at co-builders in the following directions:

■ Enterprise Practitioners

Teams and leaders advancing real business projects in AI, agents, knowledge systems, process reconstruction, user research, content production, product innovation, etc.

■ Industry Partners

Brands, platforms, institutions, and partners looking to explore Agentic Transformation pathways around common issues in a specific industry.

■ Researchers and Educators

Researchers and educators from universities, research institutions, and laboratories focusing on human-machine collaboration, agent evaluation, management transformation, user research, behavioral science, etc.

■ Technology and Product Teams

Product and technology teams focusing on agents, evaluation, context systems, research tools, long-term operational capabilities, etc.

■ Creators and Cross-Disciplinary Practitioners

Creators and cross-disciplinary practitioners applying AI in content creation, art design, media communication, etc., exploring new possibilities for human-machine collaborative creation.

The co-building program is more focused on participants with existing real problems, real projects, and real constraints. The co-building content is defined, researched, validated, and advanced in real scenarios, rather than remaining at the conceptual level.

How Will Co-Building Unfold?

This program revolves around Agentic Transformation, and co-building will unfold along three long-term directions:

Understanding

How does the agent understand real people, professional experiences, market changes, and enterprise contexts?

Judgment

How does the agent participate in complex judgments without standard answers and establish more reliable human-machine collaboration and evaluation methods?

Action & Evolution

How does the agent continuously advance real work and improve based on action results?

In terms of specific methods, co-building may include but is not limited to:

Real Problem Co-Research

Jointly defining problems, breaking down scenarios, forming research hypotheses, and validation paths around a specific industry or business issue.

Project Co-Building and Experiments

Validating research in real business, forming phased samples, pilot projects, or benchmarks.

Method and Evaluation Accumulation

Jointly defining what it means to "do it right," how to assess human-machine collaborative judgment, and how to solidify results into reusable methods.

Content and Outcome Output

Solidifying into research articles, teaching cases, industry shares, special reports, white papers, or other open outcomes.

Long-Term Partner Connections

Facilitating ongoing dialogue between enterprises, research institutions, technology partners, and creators, rather than one-off encounters.

The co-building outcomes are not limited to a single form: some may take the form of research, some may take the form of cases, some may take the form of methods, and some may take the form of new collaboration projects. All types of outcomes start from real problems and revolve around "how humans and agents can jointly reshape business processes and create value."

Details and subsequent progress of the co-building program can be obtained through Tezign Technology's official public account and website.

The co-building program aims to validate whether enterprises can form their own judgment systems and contextual systems. This validation requires co-builders to incorporate real problems into the program and advance together.