A decision generation system that produces traceable decision recommendations under multiple legal and technological constraints.

Abstract

A decision generation system that produces traceable decision recommendations under multi-source legal and technical constraints utilizes an edge AI reasoning module within an enterprise firewall to perform natural language understanding, technical feature extraction, and data de-identification on confidential product technical information. This is performed in conjunction with multiple analysis agent modules, which may include at least two of the following: patent infringement analysis agent module, regulatory compliance analysis agent module, technical standards analysis agent module, trademark risk analysis agent module, and policy and tax analysis agent module. Subsequently, a conflict resolution AI agent module identifies cross-domain conflicts, and a multi-objective strategy optimization module and an AI chief strategist agent module combine user weights, decision objectives, and decision governance information to generate a battle map report and proof of decision rationality.

Claims

1. A decision generation system for generating traceable decision recommendations under multi-source legal and technical constraints, comprising: a user interface; at least one processor communicatively connected to the user interface; and a memory coupled to the processor, storing a plurality of instructions; wherein, When the processor executes the plurality of instructions, it causes the processor to implement a plurality of functional modules on a local server or a private cloud node within an enterprise firewall. The plurality of functional modules include: a multi-agent collaborative orchestration module to coordinate a plurality of analysis agent modules and decision agent modules; an edge AI inference module deployed within the enterprise firewall, receiving confidential product technical information via the user interface, performing natural language understanding and technical feature extraction on the confidential product technical information, and generating a deidentified feature set before transmitting the confidential product technical information outside the enterprise firewall by filtering or replacing sensitive information; and a secure routing module to transmit the deidentified feature set or a search condition derived therefrom to at least one external publicly available data source via an application interface; wherein the plurality of analysis agent modules include at least two items selected from the following group: a patent infringement analysis agent module to compare an accused product specification with a claimed patent claim and generate a patent analysis output. A regulatory compliance analysis module to determine whether the specifications of the accused product comply with the regulations of one or more specific jurisdictions and generate a regulatory analysis output; a standards compliance analysis module to determine whether the specifications of the accused product comply with one or more technical standards and generate a standards analysis output; a trademark risk analysis module to assess the likelihood of confusion of a proposed trademark application and generate a trademark analysis output; and a policy and tax analysis module to assess one or more policy incentives or tax risks related to a target jurisdiction and generate a policy and tax analysis output; and a conflict resolution AI module to aggregate the structured outputs from the implemented analysis modules into a shared analytical context and identify at least one cross-domain conflict between the structured outputs. A strategy optimization module to generate multiple strategic prototypes based on the cross-domain conflict; and an AI chief of staff agent module to receive one of the multiple strategic prototypes, either a selected strategic prototype or a user-adjusted strategic weight, and to receive a decision objective and decision governance information, and to generate an operational map report and a decision rationality report to indicate how the selected strategic prototype or the user-adjusted strategic weight leads to a final decision recommendation.

2. The decision generation system as described in Request 1, wherein the edge AI inference module, the multi-agent collaborative orchestration module, and the AI ​​chief of staff agent module are deployed on a local server or a private cloud node within an enterprise intranet, and the secure routing module is configured such that the initial parsing of the confidential product technical information and the final aggregation of the decision output are performed within the enterprise firewall, while large-scale retrieval or logical reasoning using publicly available information is performed using the external publicly available data sources.

3. The decision generation system as described in claim 1, wherein the confidential product technical information includes at least one of the following: a patent number, patent claim text, a patent diagram, a portable file format file, a product specification, a target jurisdiction, a proposed trademark application, a custom business objective, a strategic weight, and decision governance information; and wherein the edge AI reasoning module is further configured to perform multimodal analysis on the patent diagram or the portable file format file.

4. The decision generation system as described in claim 1, wherein when the plurality of analysis agent modules include the patent infringement analysis agent module, the patent infringement analysis agent module is configured to: decompose an independent claim into multiple claim elements; compare the corresponding features of the multiple claim elements with the accused product specification based on full element analysis; generate an infringement probability score; and generate a structured claim lookup table.

5. The decision generation system as described in claim 1, wherein when the plurality of analysis agent modules include the regulatory compliance analysis agent module, the regulatory compliance analysis agent module is configured to generate a compliance checklist, the compliance checklist including a compliance status, a risk level, and at least one engineering modification suggestion for corresponding to a non-compliance item; when the plurality of analysis agent modules include the standard compliance analysis agent module, the standard compliance analysis agent module is configured to assess interoperability or market access impact based on whether it conforms to an industry standard; and when the plurality of analysis agent modules include the trademark risk analysis agent module, the trademark risk analysis agent module is configured to assess trademark similarity based on phonetic similarity, conceptual similarity, visual similarity, product or service association, or a combination thereof.

6. The decision generation system as described in claim 1, wherein the conflict resolution AI agent module is configured to identify a cross-domain conflict by applying a predefined conflict template, the predefined conflict template representing at least one of the following: a patent circumvention design and regulatory conflict scenario, a patent circumvention design and standard conflict scenario, a combined conflict scenario between a trademark owner and a patent owner, or a policy incentive and patent risk conflict scenario; and wherein the conflict resolution AI agent module is further configured to generate a conflict analysis report, the conflict analysis report comprising: a conflict list, a risk matrix, at least one strategy trade-off recommendation, one or more assumptions, one or more uncertainties, a confidence level related to the uncertainties, and an examination trigger condition related to the uncertainties.

7. The decision generation system as described in claim 1, wherein the strategy optimization module is configured to generate at least three strategy prototypes, including a risk-averse, a time-to-market priority, and a balanced approach, and each strategy prototype includes a weighted combination spanning the following: patent risk, regulatory compliance difficulty, standard compliance difficulty, trademark risk, time to market, and cost control.

8. The decision generation system as described in claim 1, wherein the user interface is configured to present a combat map interface, the combat map interface comprising: a strategic weight adjustment control area, an algorithm recommendation control area, a strategic prototype selection area, a decision target input area, and a decision governance input area.

9. The decision generation system as described in claim 1, wherein the AI ​​chief of staff agent module is configured to generate the decision rationality report as a narrative audit trail to clearly record which user-specified weights dominate the final decision recommendation, which candidate options are excluded, and the reasons for excluding the candidate options; wherein the AI ​​chief of staff agent module is further configured to generate a decision comparison matrix, which includes time impact, cost impact, risk level, compliance impact, and reasons for recommendation or exclusion for each candidate option; and wherein the decision governance information includes at least one of the following: a decision-maker, a reviewer, or an approver, and the AI ​​chief of staff agent module is configured to bind the decision governance information to the decision rationality report.

10. The decision generation system as described in claim 1, wherein the secure routing module is configured to route data of a specific jurisdiction to different model resources, such that data related to a first jurisdiction is processed by a first model resource, and data related to a second jurisdiction is processed by a second model resource different from the first model resource; and wherein the secure routing module is configured to retain sensitive data related to the first jurisdiction within a local server node corresponding to the first jurisdiction, and to prohibit the transmission of the sensitive data to an external model resource located outside the first jurisdiction.

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