What can an AI agent do in your department?

        The trend of AI moving from "answering questions" to "doing things hands-on" and the "Five Nos Principle" proposed by the Cybersecurity Administration of the Ministry of Information and Communications Technology in the previous issues show that the smarter the tools, the more complex the risk profile. This issue of "Information Network" takes the perspective back to the work site of the office, exploring how business, finance, human resources, and legal departments can make good use of AI agents with planning and action capabilities when they enter the workflow, while maintaining the bottom line of corporate governance?

                NVIDIA CEO Huang Renxun predicted at this year's COMPUTEX: 'PC will go from being a tool to becoming your work partner.'. For office workers, it means that the work mode will shift from "humans operating software" to "humans commanding AI agents" and "humans working together with AI agents". This is not only an upgrade in technology, but also a transformation in work mode. However, the smarter the tool, the heavier the user's responsibility, which is also a necessary awareness to embrace new technologies.

        Business Department: Focus on relationship management rather than getting bogged down in administrative tasks

        The core of business lies in the connection with 'people'. AI agents can assist in handling a large number of routine tasks, including automatically parsing email correspondence, meeting minutes, as well as customer contracts and related information, proactively prompting follow-up opportunities, and even drafting communication documents based on customer communication styles.

        [Practical Reminder] Implement the principles of "not giving without authorization" and "not trusting without authorization": If customer information involves highly sensitive personal information and trade secrets, do not post confidential quotes or undisclosed contracts on public AI platforms for convenience (do not give without authorization). Although AI can simulate customer tone, its judgment does not represent the customer's true intention. Before sending it to the public, it is necessary to personally review it to avoid being misled by AI and causing business losses (do not trust blindly).

        Finance department: Strengthen data insights, but the responsibility for signing off remains with oneself

        Financial assignments require precision and compliance with regulations. AI agents are skilled at handling processes with clear rules and large amounts of data, such as cross period reconciliation, document classification, and budget execution analysis, and can actively mark abnormal data.

        [Practical Reminder] Implement the principles of "not losing control" and "not letting go": Financial data is the core lifeline of a company, and do not input unverified financial information into unapproved tools (not losing control). AI can provide analysis results, but the accuracy of the final numbers and legal interpretations still need to be signed off by personnel with professional qualifications. The biggest risk is that the person in charge has not watched at all (refuses to let go).

        Human Resources Department: Optimize administrative efficiency and avoid automated decision-making errors

        The value of human resources lies in identifying and nurturing talents. AI agents can effectively handle administrative tasks such as absenteeism management, education and training tracking, and assist in the initial screening of resumes during the recruitment process.

        [Practical Reminder] Implement the principle of "not acting recklessly": According to the Personal Data Protection Law and relevant regulations on employment discrimination, AI can be used as an auxiliary screening tool to help sort, but the final judgment power must be reserved for human managers and cannot be used as the sole basis for automated decision-making to avoid legal disputes arising from algorithm errors.

        Legal department: Improve review efficiency and strictly adhere to confidentiality boundaries

        Faced with a massive number of contracts, AI agents can quickly compare the differences between standard terms and marked versions, greatly improving operational efficiency.

        【 Practical Reminder 】 Implement the principle of 'not giving without authorization': Contract contents often include confidentiality obligations (NDA). Do not upload confidential contracts to unauthorized external AI tools to avoid breach of contract. In addition, AI cannot completely replace the legal profession's interpretation of ambiguous areas, and the final legal risk assessment still needs to be reviewed by legal personnel.

        Three common practice mindsets across departments

        Based on the above scenarios, summarize the practical logic that corresponds to the "Five Noes Principle" for everyone's reference.

        1. Division of labor principle: AI does "quantity", humans do "quality"

        Hand over clear rules and a large amount of tedious data to AI, while leaving decisions that require professional judgment, ethical considerations, and interpersonal interaction to humans.

        2. Principle of rights and responsibilities: AI suggests, humans are responsible

        AI can only provide reference for external commitments, financial approval, legal effectiveness, and personnel decisions. The final responsibility for approval and decision-making risks will still be fully borne by colleagues.

        3. Security principle: Three questions before data input

        Please self check before use: Does this document contain personal information? Is it a company secret? Is the tool used a platform authorized by the company?

        From 'operator' to 'manager'

        AI agents are like amplifiers that, when used well, can amplify business partners' insights into customers, finance colleagues' sensitivity to numbers, and HR colleagues' identification of talents; If not used properly, it will amplify negligence, security breaches, and compliance risks. On the road towards intelligent manufacturing and digital transformation, only by placing the judgment of "people" and the discipline of "law" before technology can enterprises ensure that AI agents become the driving force for operational growth, rather than variables. After all, tools can be constantly upgraded, but our reverence for risk and persistence in responsibility will always be the last line of defense.

        *Image source: Magnific

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