
Empowering GovTech leaders to unlock their teams' full potential through AI-driven talent insights, transforming traditional HR decisions into strategic workforce masterstrokes. By seamlessly blending data intelligence with human wisdom, we're revolutionising how organisations plan to nurture, grow, and retain their most valuable asset - their people.
(HR) Shirley Tan, Angie Heng, Sarah Xu; (CEP) Kevin KB Ng, Chia Hsiao Ming, Tong Jo-tsze
Organisational leaders and human resource business partners (HRBPs) struggle to optimise team structure and manage talent effectively despite having access to employee data. They need effective tools to analyse organisational structure, maintain balanced team compositions, identify high-potential staff, and make decisions on talent e.g., promotions and rotations for strategic team development, while avoiding structural inefficiencies and parity issues across the organisation.
These are examples of the problems that Kevin and Hsiao Ming, as organisation leaders, face:
As a proof of concept, we created a Pair Assistant to provide information and recommendations on HR matters, such as promotions, rotations, transfers, contract renewals and conversions to permanent roles.
Our solution takes into account the hard HR rules and customisable preferences to provide ranked recommendations for:



Enable the GovTech division/cluster leaders to make more optimal staff and organisational decisions relating to promotions, rotations, conversions to permanent roles, contract renewals, etc., via a data-driven approach, enhancing their ability to grow and retain talent to boost organisation performance, while reudcing the time and effort required.
Success may be measured with metrics such as:
Adoption a. The number and percentage of organisational leaders and HRBPs using the tool b. Their frequency of usage
User Experience a. Overall satisfaction b. Perceived value of the tool c. Perceived quality of recommendations d. Proportion of recommendations accepted e. Ease of use
Time savings for organisation leaders and HRBPs in comparison to the current manual effort
OR the Sean Ellis Test: "How would you feel if you could no longer use the tool?"
Beyond the hackathon, we may explore these directions for the project: