On the 17th, the Global enterprise software giant $Salesforce (CRM.US)$ launched Agentforce 2.0. In just three months, from Agentforce 1.0 to 2.0, Salesforce demonstrated its rapid iteration and significant upgrades in the field of AI.

Rather than just being a product update, it can be said that Salesforce is sketching a new blueprint for the digital workforce market. CEO Marc Benioff stated during a recent keynote speech:

"The overall scale of the digital labor market is not in hundreds of billions, but in trillions of dollars."

Salesforce is redefining the Concept of software and applications through Agentforce. AI Agents are no longer just tools; they have become new "digital employees" that can autonomously execute tasks, drive business processes, and create new business value.

Salesforce is telling a story about a "trillion-dollar" digital labor market, and Agentforce is at the heart of this story.

AI Agents: A leap from Concept to application.

Salesforce is an American Cloud Computing company founded in 1999. In September of this year, the company launched Agentforce to help businesses automate and optimize sales, customer service, marketing, and analytics processes.

However, amidst the global wave of generative AI, Salesforce has not stopped there.

In December, Agentforce 2.0 introduced several groundbreaking features, with the core improvement being its enhanced reasoning engine.

This engine aims to connect enterprise data, business processes, and logic to provide a more intelligent and context-aware AI interaction experience. A practical application case is Adecco Group, which utilized the AI agent developed by Agentforce to improve hiring efficiency by analyzing the match between candidate skills and job requirements.

Prior to this release, Salesforce had already experimented with this Concept through its customer support platform. According to Benioff, in the 32,000 interactions per week on the help.salesforce.com platform, the proportion of human interactions has decreased from 10,000 to 5,000, with 83% of issues resolved by AI agents.

During the demonstration at the launch event, Agentforce could match the commonalities between applicants and job standards, such as education level, skills, languages, and locations, quickly analyzing a large number of resumes to filter out the best candidates and even automatically scheduling interviews.

The combination of No-Code and generative AI.

Salesforce AI Executive Vice President and Chief Scientist Silvio Savarese stated that this reasoning engine is one of their most challenging developments to date.

Benioff regards AI Agents as "the most exciting innovation seen in the past 25 years":

"Agents are the new applications. Build them, test them, and use them."

He believes that AI agents are "the foundational support technology of the robotic age," which will permeate various industries in the future. In the medical field, AI agents can serve as instant care assistants; in retail, they can act as personal shopping advisors; in finance, they can provide personalized services to clients as on-demand consultants.

Another major highlight of Agentforce 2.0 is its No-Code feature. Users do not need professional programming knowledge; they only need to describe their needs in natural language, and Agentforce can automatically generate the corresponding AI Agent. This further lowers the technical threshold for AI applications, enabling businesses of all sizes to quickly deploy and use AI Agents.

"A story of trillions of dollars": The future of the digital labor market.

For a long time, Salesforce has been known for its CRM (Customer Relationship Management) products. However, Salesforce's ambitions extend far beyond this.

Agentforce not only serves Salesforce's core products but also provides AI Agent solutions for organizations across various industries and business sectors. Taking Adecco as an example, even without using other Salesforce products, Adecco can utilize Agentforce to develop AI Agents.

Additionally, Agentforce has achieved cross-platform workflow optimization through deep integration with products such as Slack, MuleSoft, and Tableau.

Through MuleSoft, Agentforce can connect various APIs for seamless integration with other systems; through Slack, the AI Agent can facilitate communication and streamline tasks; through Tableau, the AI Agent can contextualize data, generating more insightful visual reports.

The unification of these functions makes Agentforce an indispensable core component of the enterprise-level Saas ecosystem.

Salesforce is telling a story about a "trillion-dollar" digital labor market, and Agentforce is at the heart of this story.

Editor/Somer