Following the release of new regulations for intelligent agents, many initially reacted with the thought that "regulatory oversight has arrived." However, a closer examination of the four fundamental principles reveals that the core intent is not to put the brakes on the industry, but rather to propel intelligent agents from a conceptual trial phase into a genuine period of industrial implementation that is scalable, governable, and replicable.
These four principles are: Security and Controllability, Standardization and Orderliness, Innovation-Driven Development, and Application-Driven Traction. Each principle is redefining what constitutes a qualified enterprise-level AI.
For MARKETINGFORCE (02556.HK), these four principles align precisely with its product capabilities and strategic direction. The delivery of the Hefei Intelligent Investment Promotion Platform serves as a tangible example of "Application-Driven Traction" in practice.
**Security and Controllability: The Intelligent Agent Middle Platform as the Compliance Foundation** The new regulations require intelligent agents to operate within authorized boundaries, with traceable and auditable behaviors, and key decision points retaining final human review. This aligns with the architectural logic of MARKETINGFORCE's Agentforce intelligent agent middle platform. Agents are not deployed to act freely but are tasked to complete objectives within preset permissions, workflows, and knowledge boundaries. In marketing scenarios, they assist with content generation and lead follow-up, but key strategies still require corporate confirmation. In customer service scenarios, they provide 24/7 responses, but processes like refunds and complaints necessitate human intervention. In investment promotion scenarios, they generate corporate profiles and research materials, but final decisions and signings remain subject to human review. Regulation is not a limitation; it transforms industry barriers into a moat for capable players.
**Standardization and Orderliness: Multi-Agent Collaboration, Not Chaos** The regulations emphasize the management of agent behaviors and content compliance. MARKETINGFORCE addresses this through multi-layered design: clear roles and defined authorization boundaries between multiple agents, content compliance review embedded in workflows, and full-process operation traceability. Enterprise clients need not worry about agents overstepping authority to send emails, making incorrect price promises, or leaking information—these concerns are far more critical in enterprise scenarios than mere "model intelligence."
**Innovation-Driven: Full-Stack Architecture, Not Model Wrapping** The regulations encourage innovation in agent toolchains, multi-agent collaboration, and native architecture design. MARKETINGFORCE's "Full-Stack Token Factory" is itself a product of this direction. It does not simply wrap a third-party model in a shell. Instead, it forms a complete technological loop, from the underlying operating system and knowledge middle platform, to the intelligent agent middle platform, and up to the scenario application layer. The core output of this architecture is the "Scenario Token"—transforming the capabilities of general-purpose models, through the processing of industry knowledge, business workflows, and agent orchestration, into business outcomes that enterprises can directly measure.
**Application-Driven Traction: Hefei Intelligent Investment Promotion as the Latest Validation** Among the four principles, "Application-Driven Traction" is likely the most directly beneficial for MARKETINGFORCE. The regulations explicitly propose promoting technological validation and product implementation around typical scenarios, listing 19 specific application directions. The Hefei Intelligent Investment Promotion Platform precisely corresponds to the directions of government services and industrial development. This platform integrates AI into the entire investment promotion process: generating target enterprise lists based on industrial maps pre-promotion, supplementing corporate profiles and match analysis during the research phase, generating promotion materials and industrial chain synergy suggestions pre-meeting, and providing progress alerts and ledger summaries during advancement. This is not simple informatization; it is AI genuinely entering the business workflow. For the new regulations, the launch of this platform serves as a real-world example of "Application-Driven Traction." For MARKETINGFORCE, it demonstrates that scenario-based application capabilities are not limited to marketing and sales but can extend to heavier, more complex process scenarios like government and enterprise investment promotion.
**Early Moves Across Multiple Tracks Among the 19 Scenarios** Beyond government investment promotion, MARKETINGFORCE has also made inroads in other low-risk, less restrictive tracks identified by the regulations, such as cultural tourism, consumer terminals, commercial customer service, and R&D assistance. An internationally renowned cultural tourism brand validates intelligent operations in tourism, Zhou Hei Ya validates private domain operations for consumer terminals, Shede Spirits validates omni-channel user operations in the liquor industry, Koni New Energy validates new energy consumption scenarios, and Yishang Group validates AI operations for large-scale commercial trade organizations. When policy provides a list of scenarios, MARKETINGFORCE's case matrix lands precisely upon it. This "scenario density" is more persuasive than any single case.
**Behind the Scenario Token: Transforming Computing Power into Business Outcomes** MARKETINGFORCE's business logic can be simplified into three steps: the model generates Tokens, the intelligent agent middle platform organizes Tokens, and the scenario transforms Tokens into business results. Enterprise clients ultimately purchase not the number of underlying model API calls, but rather one effective investment promotion analysis, one high-intent lead, one customer conversion, or one re-purchase reactivation. As the new regulations push the industry from "usable" towards "trustworthy and controllable," the value of this "Scenario Token" logic will become clearer. It addresses precisely the questions policy is most concerned with: Where is the AI actually being used? What results is it producing? Is it traceable? Is there a willingness to pay for it continuously?
**Post-Regulation, AI-Native Application Platforms That Integrate into Workflows Become More Scarce** The new regulations are not a tightening constraint on the industry, but a filter. They filter out companies that only tell stories, lack real scenarios, and are deficient in governance capabilities. They leave behind precisely platforms like MARKETINGFORCE—AI-native application platforms with an intelligent agent middle platform, permission governance, a cross-industry case matrix, and tangible business results. The Hefei Intelligent Investment Promotion platform is the first government service scenario sample MARKETINGFORCE has presented under the new regulations. The continued expansion into scenarios like new energy, cultural tourism, retail, and commerce will be the next focal point for observing whether the "Full-Stack Token Factory" will be revalued by the capital market.
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