Chuangjietong Releases Compliance Brain Agent 2.0, Upgrading Overseas Compliance from a Q&A Tool to a Closed Execution Loop

Shenzhen Chuangjietong Technology Co., Ltd. officially releases "Compliance Brain Agent 2.0." The product targets companies and practitioners going global, and currently covers tax rules in 50+ countries/regions, has accumulated 34 million+ intellectual property data records, and fully covers compliance rules across all cross-border platforms. The product connects to 300+ official sources with daily updates. This upgrade transforms the product from a Q&A tool into a "perceive—decide—execute" closed-loop Agent, supports the MCP and Skill open ecosystem, and can integrate third-party Agents for collaborative work.

AI Agents land in vertical industries: going-global compliance, from "findable" to "doable":

When a company prepares to enter a new market, it needs to figure out three things: what are the compliance requirements for local company registration, is there a similarity risk with the trademark, and how is the VAT amount calculated?

These three things used to mean: scouring government websites and platform policy documents of various countries, finding lawyers or service providers to confirm one by one, and then manually organizing everything into an executable checklist. For large-scale sellers operating dozens of companies and hundreds of stores at the same time, the complexity of this process increases exponentially.

Rules are scattered, change quickly, and conditions are complex; under multiple companies, multiple stores, and multiple systems, risks are unclear, progress is hard to track, and execution is hard to implement—this is a long-standing structural problem in the going-global compliance field. General search tools can give you information, but cannot judge whether the information applies to your specific scenario; general AI Agents can answer questions, but cannot directly call business systems to complete tasks.

In 2026, the red ocean of AI Agents at the general conversation level has already become fiercely competitive, but vertical Agents that can truly "get things done for people" are still scarce. Going-global compliance is one of the scenarios with the highest barriers and the clearest willingness to pay—rules span multiple jurisdictions, changes are measured in weeks, and the cost of errors is store suspension or fines. Whoever first runs through the "perceive—decide—execute" closed loop in this scenario will have obtained a sample of vertical Agent implementation.

In October 2026, Shenzhen Chuangjietong Technology Co., Ltd. released "Compliance Brain Agent 2.0," attempting to provide a closed-loop answer from "perceive—decide—execute" in the vertical field of going-global compliance.

Industry insight: compliance is not about "findable," but about "doable"

Chuangjietong's understanding of going-global compliance pain points is built on a core judgment: the difficulty of compliance work lies not in obtaining information, but in judging the applicability of information and translating that judgment into executable actions.

Behind this judgment are three layers of logic:

The first layer is information timeliness. National tax systems, platform rules, and trademark examination standards change frequently, and manual tracking is inevitably lagging. Compliance Brain connects to 300+ official sources with scheduled daily updates, combined with real-time search capabilities, ensuring that the response speed to policy changes is not "weekly" or "monthly," but "daily."

The second layer is conclusion credibility. AI "hallucinations" are a fatal risk in compliance scenarios. Every round of Compliance Brain's answers is cross-verified through three channels: expert knowledge base, official sources, and real-time search. Important conclusions come with sources, applicable conditions, uncertainty explanations, and confidence levels. What users get is not "what it is," but "why, under what conditions it applies, what to pay attention to, and what to do next."

The third layer is execution implementation. Between knowing "how to do it" and actually "getting it done" lie a series of actions such as tool invocation, system integration, and progress tracking. Compliance Brain directly connects to the 34 million+ global trademark database, the Shui Zhi Hui tax calculation tool, and order/work order systems, allowing users to complete the entire chain from consultation to processing at the same conversational entry point, without having to configure tools themselves or repeatedly switch systems.

These three layers of logic correspond to Compliance Brain's three core capabilities: professionally trustworthy, proactively executable, and globally visible.

When a company prepares to enter a new market, or when the rules of a target market suddenly change, the most time-consuming part is not "finding information," but judging whether the information applies to one's own specific conditions.

In the past, this meant scouring government websites and platform policy documents of various countries, finding service providers to confirm one by one, and then manually organizing everything into an executable checklist. And the rules often change the moment you finish organizing them.

Compliance Brain Agent 2.0's approach is: combining country, entity, product, and business stage, directly output applicable conditions, processing procedures, document checklists, and risk alerts—with basis, with applicable conditions, and with next-step direction. When policies change, it distinguishes current rules, future effective rules, and transitional arrangements, explains the impact in light of the company's specific conditions, and explains by scenario when conditions are insufficient, rather than generalizing into "all companies are affected."

Common seller scenarios: trademark layout risk assessment + multi-store compliance health diagnosis

A typical picture: dozens of companies and hundreds of stores, with compliance status scattered across various systems—who has gaps, which risk is highest, and where progress stands—these questions may be unclear even to managers themselves. By the time platform warnings arrive, it is already "firefighting."

Compliance Brain Agent 2.0 turns compliance into a business report:

l Trademark layout: calls the 34 million+ global trademark database, combines similarity search and the Nice Classification, and outputs a similarity risk list + key category recommendations + items to be verified, directly usable for brand decisions before application.

l Multi-store diagnosis: puts companies—stores—compliance assets into the same workbench, quantifies gaps into numbers, uses AI to diagnose store by store, provides advance warnings for high risks, and automatically updates upon completion.

The delivery value behind this: compliance handling changes from "firefighting after receiving a warning" to "setting priorities at the business review meeting." Seller accounts are more stable, funds are safer, and expansion is faster.

Knowing "how tax is calculated" and actually "calculating it out" are separated by a series of actions such as data entry, confirmation of definitions, and result review. Knowing "where a ticket has got to" and actually "looking up the status" are separated by logging into multiple systems and asking repeatedly.

Compliance Brain Agent 2.0 connects directly to the Tax Smart Hui tax calculation tool and the order/ticket systems:

l Tax calculation: input business conditions, and it outputs a tax amount calculation reference + key inputs and calculation definition notes; results can be reviewed and data can be supplemented, avoiding "black-box calculation."

l Progress query: directly query orders, tickets, and service status within the authorized scope, so that customers asking about progress and internal staff checking status both rely on the same basis.

The delivery value behind this: it is a shift from "how to do it" to "I'll do it," with execution actions closed within the conversation and no need to switch systems.

Technical depth: three core capabilities underpin the professional moat

The professionalism of Compliance Brain Agent 2.0 does not come from claiming that the underlying model is stronger, but from integrating industry case accumulation, continuously updated official knowledge, and deep business system integration into system capabilities.

It currently covers tax and product certification data for 50+ major countries/regions worldwide, has accumulated 34 million+ intellectual property data records, achieves full coverage of compliance rules for mainstream cross-border platforms, and updates in real time 24 hours a day.

Supporting this capability are three core technologies:

1. An ontology-driven cognition and reasoning hub

With the compliance knowledge graph and data middle platform as the underlying ontology architecture, it standardizes modeling of core entities such as countries, entities, platforms, tax types, trademarks, and qualifications and their relationships, forming a unified semantic layer. On this basis, the large model xHarness framework serves as the reasoning engine, deeply understanding user intent and decomposing tasks, precisely mapping natural language onto entities and processes defined by the ontology, and achieving the leap from Q&A to workflow execution. At the same time, memory and context mechanisms anchor a single conversation in the enterprise's specific ontology instances (such as specific business status and role permissions), so that the Agent continuously understands the business.

2. A multi-agent collaborative execution network

Based on the professional domain boundaries defined by the ontology, it builds a Multi-Agent matrix. The main Agent is responsible for global scheduling, while professional Agents for intellectual property, tax, EPR, product certification, and other areas execute deeply within their respective ontology subdomains, forming a collaborative network of perception-decision-execution. Through the MCP+Skill open ecosystem, Agents can call tax calculation tools, trademark databases, and RPA automation capabilities, translating abstract processes in the ontology into concrete cross-system operations and truly achieving compliant, get-it-done execution.

3. Trustworthy, real-time knowledge supply and an evolution loop

Relying on RAG triple-depth retrieval, it integrates 300+ official sources and expert knowledge bases in real time, ensuring that the knowledge input into the Agent ontology is authoritative, timely, and traceable. Combined with security and controllability mechanisms, it strictly defines the scope of data authorization and the expression of confidence levels, ensuring that outputs can be reviewed. Finally, through a self-evolution loop, using real user feedback as the yardstick, it continuously identifies knowledge gaps and iterates data sources and execution loops, driving dual self-optimization of the Compliance Brain in ontology architecture and execution capability.

To understand the value of Compliance Brain Agent 2.0, an effective reference frame is the general-purpose AI Agent. The difference between the two lies not in the underlying model, but in the depth of system integration:

A general-purpose AI Agent can likewise access the internet, cite sources, connect to tools, or configure feedback mechanisms. The core value of Compliance Brain lies in deeply integrating these capabilities with Chuangjietong's case accumulation, continuously updated official knowledge, and business systems, providing professional support close to going-global compliance scenarios.

Chuangjietong is committed to building the "Compliance Brain" into an "AI operating system for going-global enterprises" or a "digital employee," deeply covering the four major modules of compliance, customer acquisition, operations, and growth, and driving enterprises' global compliance operations to complete a generational leap from "knowledge retrieval" to "intelligent execution."

Behind this direction is the evolution of going-global enterprises' digital needs from "point tools" to "system collaboration." Compliance is not an isolated link, but is deeply coupled with supply chain, marketing, and finance. An AI Agent that can understand the business as a whole, proactively execute tasks, and continuously evolve is far more efficient than multiple fragmented independent tools.

Chuangjietong Compliance Brain Agent 2.0 is officially released, and going-global compliance is moving from the "information retrieval era" into the "intelligent execution era." In the field of going-global compliance, which is highly professional, complex in rules, and frequently changing, the value of AI lies not only in "answering questions" but also in "completing tasks." When the Agent deeply connects global tax, intellectual property, platform rules, and business processes, and builds compliance infrastructure that can operate automatically, it is no longer an auxiliary tool, but a "digital employee" on the team.

For going-global enterprises, the standard for choosing compliance tools is being redefined: from "how comprehensive the knowledge base is" to "how complete the execution loop is." This may well be a microcosm of AI Agents landing in vertical domains.