Manus ignites AI Agent craze: How can companies keep up with the times in this technological revolution?

Yesterday, the technology circle was in an uproar again! Following DeepSeek, the AI ​​agent Manus developed by a Chinese team once again set off a firestorm on the Internet and became a hot topic. The rapid development of AI Agents not only made the technology circle boil, but also made many traditional companies "tremble" - is this wave of AI an opportunity or a challenge?

At the Guangzhou CPG Conference held on March 6, Qince Vice President Dong Yang conducted an in-depth analysis of the future of AI Agents, providing important references for how companies can cope with this change in their digital transformation. Today, let’s talk about the rise of AI Agents, the anxiety of companies, and future choices.

 AI Agent: An Unstoppable Trend

Rapid growth of market size:

According to research data, the global AI Agent tool market is expected to reach $5 billion in 2024 and continue to expand at a compound annual growth rate (CAGR) of 35%. By 2033, this figure is expected to exceed $100 billion.

Behind this set of data is the huge potential and broad prospects of the AI ​​Agent market. Whether it is a business or an individual, AI Agent is penetrating into various fields at an astonishing speed.

Active layout of domestic and foreign giants:

Technology giants at home and abroad have long smelled the "fragrance" of AI Agents, such as domestic companies such as Kouzi, Tencent Yuanqi, Baidu Wenxin Intelligent Body, and foreign companies such as Microsoft Magma. The actions of these giants have undoubtedly sent a signal: AI Agents will become the main battlefield for future technological competition.

What is AI Agent?

Simply put, AI Agent is an intelligent entity that can perceive the environment, make decisions, and take actions to achieve specific goals. It simulates human cognitive abilities to achieve autonomous task execution. Does it sound a bit like a scene from a science fiction movie? But the reality is that it has already arrived.

Anxiety of traditional enterprises:

Will application software be replaced?

Prediction of giants: Will AI Agent replace traditional application software?

Salesforce founder Benioff and Microsoft CEO Satya Nadella have both predicted that AI Agents will eventually replace traditional application software and SaaS applications.

This assertion undoubtedly makes traditional companies anxious - if AI Agent really replaces existing application software, won’t the company’s digital transformation have to be “started from scratch”?

Qince Dong Yang’s opinion:

AI Agent is a supplement, not a replacement

By breaking down the three major components of an application (data storage format, data processing method, and human-computer interaction method), Dong Yang believes that AI Agent will have a significant impact on application software, but will not completely replace it.

In his opinion, AI Agent is more like an "enhanced version" of existing application software, which helps companies complete tasks more efficiently through intelligent upgrades.

How do enterprises choose AI Agent tools?

Facing the wave of AI Agents, how should enterprises choose the right tools for themselves? Dong Yang divides the strategies of enterprises in choosing AI Agents into four categories and analyzes their advantages and disadvantages one by one:

• Purchase commercial AI Agent tools

  Disadvantages: data cannot be integrated, permission control is difficult, and user experience is poor.

• Using open source AI Agent tools

  Disadvantages: high self-research cost and great technical difficulty.

• Enterprise self-developed AI Agent tools

  Disadvantages: The cost of self-research from scratch is high, self-research based on open source software is difficult, and buying source code for self-research is unreliable.

• Buy AI Agent tools from SaaS companies

  Advantages: high efficiency, low cost, and high integration with business systems.

Dong Yang believes that SaaS+AI Agent is an excellent model. In the future, deeply integrated products such as CRM+AI Agent and ERP+AI Agent will become mainstream.

Qince's "3A Architecture":

Digital solutions for the future

In order to help enterprises better cope with the challenges of AI Agents, Qince proposed the "3A architecture", which is a digital solution centered on business objects.

1. Business object-centric

By abstracting the business object model and the relationships between objects, a unified data model is constructed to help enterprises achieve efficient management and application of data.

2. aPaaS platform

It provides a variety of development methods such as zero-code, low-code, and high-code to meet the personalized needs of large enterprises. The built-in BI tool is based on the object data model to achieve efficient data analysis.

3. AI Agent Platform

It includes an Agent platform based on machine learning and an Agent platform based on a large language model to solve problems such as visual recognition and natural language processing. Enterprises can customize AI Agents based on the AI ​​Agent platform and directly call business data such as CRM, TPM, and DMS.

4. Application layer

Various application functions are pre-installed, and custom development of new applications is supported to meet the diverse needs of enterprises.

Economic efficiency is the key: ROI determines everything

Dong Yang emphasized that when enterprises choose AI Agent tools, economic efficiency is a factor that must be considered. It is wise to pay attention to the return on investment (ROI) and choose a more cost-effective solution.

When the value of Agent is still unclear, it is a more economical choice to choose a platform provided by a third party to conduct innovative attempts.