Client: People Analytics · HR Tech
HR and project managers had no integrated view of the team's real skills.
We built a predictive soft and hard skills analysis system with generative AI and supervised learning, that assembles teams by complementarity, anticipates gaps and proposes reskilling paths.
Anatomy of the solution
From input to outcome: explore the four parts of the journey.
Information on team soft and hard skills.
Explanatory diagram based on the described solution. It simplifies the journey; it is not a deployed infrastructure diagram or a live monitor.
Reading the project
A list of job titles does not describe available skills or how they complement one another. The described system relates soft and hard skills to team needs and development. Its role is to support HR and project managers, not replace professional judgement.
The matrix connects skills analysis, complementarity and reskilling pathways within one experience. Zoho People integration and the evolution dashboard provide operational context. A predictive recommendation must remain a recommendation, not a definitive judgement of a person.
Current relevance and possible evolution
This aligns with Super apps as a specialised decision workspace. A superagent extension could prepare plans and follow-up, with human review, restricted access and transparent criteria before affecting employment decisions.
This connects the case experience to our current services. Proposed extensions are not presented as features already delivered.
Method and scope
Document population, period and definitions of engagement, assignment and turnover. Validate recommendations and review bias before attributing organisational changes to the system.
The published metrics do not establish causation or independent predictive validation; they should not be the sole basis for decisions about people.
Basis of this analysis: the description, capabilities and stack published in this case. No new measurements are added and no independent audit of its results is implied.
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