Author: Sender Su

  • Founder of CROSSWISE INFOTECH LIMITED Participates in the “Future Visions: AI in Governance and HR – Overcoming Challenges and Unlocking Opportunities” Seminar as a Professional Member of HKCS

    Founder of CROSSWISE INFOTECH LIMITED Participates in the “Future Visions: AI in Governance and HR – Overcoming Challenges and Unlocking Opportunities” Seminar as a Professional Member of HKCS

    On May 16, 2025, Sender Su, founder of CROSSWISE INFOTECH LIMITED, participated in the seminar titled *“Future Visions: AI in Governance and HR – Overcoming Challenges and Unlocking Opportunities”*, jointly organized by the Hong Kong Computer Society (HKCS) and the Hong Kong Institute of Human Resource Management (HKIHRM), in his capacity as a professional member of HKCS.

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    The two-hour session was fast-paced, focused, and packed with insightful content. Speakers from different organizations shared their experiences of adopting AI in corporate governance and human resources management. They discussed the challenges encountered during implementation, explored both proactive and reactive solutions, and answered several thought-provoking questions from the audience.

    At the heart of these discussions was a common issue: how to deal with the negative impacts that may arise during the adoption of new technologies.

    Drawing from over two decades of experience in the IT industry and as a senior executive leading technology projects, Sender believes that whenever a new technology is introduced into a non-IT company — from initial awareness, evaluation, and adoption to eventual value creation — it often faces skepticism or even criticism from people at all levels of the organization.

    The key to handling such resistance lies in building and maintaining a culture of responsibility.

    Whether applying AI at the strategic level of corporate governance or in specific functions like HR management, the ultimate goal remains the same — to empower sustainable business growth and enable both employees and the company to grow together.

    However, unlike previous technological advancements, AI based on large language models demonstrates an unprecedented level of “human-like” capability. It not only mimics human language but, in some cases, can be difficult to distinguish from real people. This feature brings great potential for efficiency gains, but also introduces new management challenges.

    On the positive side, effectively integrating AI into business operations can significantly improve the efficiency of management processes, enhance decision quality, and accelerate execution. On the flip side, without proper guidance and oversight, employees across all levels may become overly reliant on AI, leading to complacency and a decline in critical thinking — ultimately weakening individual accountability.

    But in business, accountability always rests with people, not machines. AI cannot be held responsible, nor can it be punished — unplugging it as a form of punishment is simply a joke.

    Therefore, CROSSWISE INFOTECH LIMITED advocates that as companies adopt AI, they must simultaneously strengthen internal systems of responsibility. This includes, but is not limited to:

    Restructuring governance frameworks to ensure ethical and compliant use of AI;

    Optimizing institutional design to align responsibilities with AI-related tasks;

    Upgrading employee training to build understanding, analytical skills, and critical thinking around AI outputs;

    Adjusting performance mechanisms to incorporate AI-related duties into KPIs and reinforce a sense of accountability.

    In short, organizations need to cultivate both the ability and mindset for employees to question, evaluate, and apply AI-generated outputs responsibly — only then can they truly overcome challenges and seize opportunities.

    Only by doing so can businesses build a governance system that not only addresses the challenges brought by AI, but also fully unleashes its potential. In fact, the successful adoption of any new technology depends heavily on a clear framework of accountability and a strong organizational culture — principles that CROSSWISE INFOTECH LIMITED has consistently upheld throughout its digital transformation journey.

    Article photo is shot by CrossWise.

  • The First Question in Implementing AI: Cloud AI or On-Premises AI?

    The First Question in Implementing AI: Cloud AI or On-Premises AI?

    The founder of CrossWise InfoTech Limited, as a full member of the Hong Kong Computer Society (HKCS), recently participated in an offline seminar hosted by HKCS titled “Retail Tech Industry Group Seminar – Unlocking AI with Proven Use Cases.”

    The topic discussed at the seminar was highly relevant and appealing to SMEs: leveraging AI technology can significantly boost productivity without increasing headcount.

    Having previously served as the IT Director of a large enterprise group, the founder of CrossWise InfoTech Limited is well-versed in using IT to enhance operational efficiency. Therefore, we strongly believes that appropriate adoption of AI can bring even greater productivity gains than conventional IT solutions.

    However, any decision must be made from a multi-dimensional perspective. For SMEs, the primary consideration has always been — and will always remain:

    Cost-effectiveness.

    If the investment does not justify the return, then talk about AI implementation or digital transformation becomes meaningless.

    Therefore, when potential returns are uncertain, how to effectively control the cost of adopting AI while ensuring the business keeps up with technological trends—without overextending and becoming a casualty—is a key dilemma for business owners.

    Deploying AI on-premises requires purchasing and setting up AI all-in-one servers, costing anywhere from tens of thousands to over one hundred thousand Hong Kong dollars. More importantly, businesses must have a suitable environment to house these machines for stable operation. In a space-constrained city like Hong Kong, this is often a major challenge. Fortunately, electricity costs remain relatively low.

    On the other hand, cloud-based AI services are typically charged per “token.” Since this is a technical term, and different languages, word choices, sentence structures, and even particles can affect token consumption, CrossWise recommends estimating costs assuming 1 Chinese character equals 1 token.

    For standard use cases that do not involve complex computations or analysis, the cost is actually very affordable. Processing one million Chinese characters costs approximately HKD 35 — roughly equivalent to a two-dish lunch set.

    Of course, some business owners may wonder: one million Chinese characters sounds like a lot, but how long would that really last?

    The answer depends entirely on the specific use case. If AI is used internally for non-text-intensive operations, based on CrossWise’s experience, each transaction typically generates around 5,000 characters of data. One million characters could therefore support around 200 transactions.

    From this perspective, the cloud-based AI services clearly offers better value.

    However, for text-intensive operations, each transaction may generate at least 20,000 characters — four times more than non-text-heavy processes. In this case, one million characters would only cover around 50 transactions. The good news is that such operations usually command higher fees, helping to offset the costs.

    Taking the above calculations into account, along with the challenges associated with on-premises deployment, it becomes clear that for SMEs in Hong Kong, the preferred option for AI implementation remains cloud-based AI services.

    Yet, implementing AI involves more than just calculating operating costs. There are also hidden expenses such as process automation reconstruction, integration with existing systems, and more.

    Even more overlooked by many business owners is what CrossWise will explore in our next article:

    Data compliance and privacy protection.

    * Article photo is shot by CrossWise.

  • How to Ensure the Delivery of IT Projects as the Project Lead?

    How to Ensure the Delivery of IT Projects as the Project Lead?

    In the process of enterprise informatization and digital transformation, various types of IT projects are required. Some project leads may think that since the contract is signed, if the delivery is unsatisfactory, they can simply execute the contract, withhold the final payment, or even claim compensation, believing there will be no loss.

    However, in reality, in the competitive market, delays in project delivery, or even failure to deliver, cannot be simply compensated by withholding contract payments or claiming compensation.

    Time is the most valuable resource. The business world is like a battlefield; being one step ahead means staying ahead, while being one step behind means lagging behind. Delayed or failed project delivery equates to falling behind competitors. Whether starting over or increasing investment to catch up, it cannot compensate for the competitive disadvantage.

    Therefore, as the project lead, after confirming the supplier and starting the project construction, it is essential to proactively follow up on the project progress, anticipate and eliminate project risks, and study and resolve project obstacles, thereby pushing the supplier forward rather than being driven by the supplier.

    The most crucial management approach is to assign dedicated personnel with specific responsibilities.

    However, most project leads, especially small and medium-sized enterprises (SMEs), do not have the conditions to assign dedicated personnel with specific responsibilities. Therefore, an experienced IT consulting services company that understands the practical implementation of information technology and can take on the role of project construction, such as our company, CrossWise InfoTech Limited, should be a consideration for project leads.

    * Article photo is shot by CrossWise.

  • CrossWise InfoTech Limited effectively uses AI technology to accomplish information system audit

    CrossWise InfoTech Limited effectively uses AI technology to accomplish information system audit

    Traditional information system audit processes require the collaboration of multiple technical personnel with different roles, and the size of the audit team can dramatically expand as the scale of the audited entity grows. This not only incurs high direct costs but also leads to hidden costs such as collaborative communication, affecting efficiency.

    CrossWise InfoTech Limited has effectively utilized AI technology in the information system audit process, particularly in the initial organization of audit working papers, logical analysis, compliance analysis, and risk point identification. These specific tasks have seen efficiency improvements by several dozen times, allowing audits to be completed in an extremely short period. In addition to essential conclusions like overall assessments, it has also effectively identified high-risk vulnerabilities in the information systems of the audited entities, which is of great significance.

    From the execution process of this audit, CrossWise InfoTech Limited believes that human application of AI technology exists at three levels: being able to operate AI to obtain results; being able to judge the correctness of the results provided by AI; and being able to control AI to achieve correct results.

    These three levels determine whether AI is a partner or a burden in human work.

    In fact, subjective initiative remains with humans.

    * Article photo is shot by CrossWise.

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