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Description

AI and Public Sector Talent Management: Identifying, Framing and Rolling Out Use Cases

See where artificial intelligence genuinely lightens the workload of a public sector human resources department

  • 0.14 days — 1 h
  • In-person or virtual
  • Foundation
  • Up to 6 participants

Public sector human resources departments handle heavy internal mobility campaigns alongside long-standing vacancies. The data they need sits scattered across several applications. The time spent screening applications and tracking training requests leaves little room for supporting employees.

This one-hour session shows where AI can ease these processing chains. It looks at the preparation of job descriptions and the matching of available skills against stated needs. It sets out the specific points of caution that apply to public employment and the role that must remain with the HR officer in any decision affecting an individual.

Learning objectives

  • Identify the stages of the talent management process where AI delivers a measurable gain
  • Distinguish preparation support use cases from decision support use cases
  • Set out the career data quality conditions required for reliable use
  • Identify the points of caution specific to managing public sector employees

What makes this programme different

Use cases are placed within the employment framework and governance constraints of the public sector
The boundary between supporting the HR officer and automating a decision is drawn precisely
Career data quality is addressed before any discussion of tools

Programme

1Where the Process Breaks Down

Starting from the real workload of the teams

  • Mobility campaigns and the volume of applications to process
  • Skills tracking scattered across several applications
  • Training requests and end-of-year trade-offs
  • Difficulties in filling roles in shortage occupations

2Possible Use Cases

Distinguishing support from decision-making

  • Preparing and harmonising job descriptions
  • Matching available skills against stated needs
  • Routing routine employee requests
  • Support in designing career paths
  • Detecting recurring training needs

3Implementation Conditions

What must be secured before launching

  • Quality and currency of career data
  • Informing employees and being transparent about how tools are used
  • The role of the HR officer in decisions affecting individuals
  • Employee consultation around the roll-out

Who is it for

Human resources directors and managers in government entities and public bodies, together with career management officers and learning and development officers.

Prerequisites

No prerequisites

Dates & locations

36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.