Digitalisation of Processes and Customer Experience
We leverage digitalisation to enhance our internal workflow and the experience we offer to our customers. By embracing the right technologies at the right time, and tailoring it to customer needs, we provide a fast, innovative and seamless experience.
We have digitalised our internal work processes through smart office apps that connect New World’s employees with online functions. These functions include e-learning, e-leave application, risk issue alerts and Group news, reimbursement processes, and administrative tasks such as meeting room booking and access information on our properties.
We have also adopted Building Information Modelling (BIM) and other project and construction management software. By enhancing collaboration among multi-disciplinary project stakeholders, reducing abortive work from design simulations and digitalising project management and documentation processes, these technologies lead us to resource, time and cost-savings.
We strive to enhance the customer journey through the application of technology. We’ve widely adopted mobile apps across our business units, offering a one-stop experience and a series of O2O value-added services. These include access to our facilities, products and services, activity registration, loyalty points collection, reward redemption and service reservations.
At the same time, technology and innovation enable us to stay better connected to our customers. We leverage our customer database to provide interesting and relevant content and interact with customers via various social media channels. We actively seek out and introduce new technologies like blockchain in property sales and virtual reality in project planning and leasing to help our customers make better decisions with less time and hassle.
The Company’s internal IT policy includes a dedicated section on Artificial Intelligence (“AI”), providing a governance framework for the responsible use of AI in business activities. The policy defines appropriate AI applications while safeguarding sensitive company information, business reputation, and regulatory compliance.
The policy places strong emphasis on data security and governance. It outlines acceptable AI use cases and capabilities and prohibits the sharing of confidential information, including personal data, financial information, and other sensitive business materials with public or unauthorised AI platforms. The policy further requires AI use to align with organisational principles and applicable regulatory requirements, with risk assessments conducted throughout the AI lifecycle to identify, evaluate, and mitigate potential risks. Controls are also in place to ensure AI-generated content is appropriately reviewed and validated by human before use in publications or communications.
To strengthen responsible AI use, the Company restricts access to sensitive AI capabilities, AI systems that engage in manipulative behaviour or unauthorised biometric surveillance are not allowed to address ethical and privacy concerns. We also conduct regular AI security assessments to help ensure AI systems remain reliable and effective. Appeals process are in place to allow human intervention in contesting AI decision and outcomes.
Guided by the IT policy, we further support responsible AI adoption through regular training. All employees are required to complete mandatory “Cybersecurity and AI Safety Awareness” training, covering ethical, secure, and responsible use of AI. The training highlights best practices such as protecting sensitive information, validating AI-generated outputs, maintaining human oversight (“human-in-the-loop”) to support decision-making, identifying potential inaccuracies or biases, and reporting suspicious AI behaviour.
Our Technology Risk Team monitors usage logs and user access patterns to ensure AI tools are used in accordance with the IT policy. Together, these measures demonstrate the Company’s commitment to embedding responsible AI practices across its operations and continuously strengthening its AI governance framework.