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Description

AI and Public Service Performance: Targeting, Piloting and Measuring Gains

Turning an improvement hypothesis into a measured pilot on a service process

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

The tool is purchased and rolled out without anyone having measured the starting position. A few months later the department can state neither the time saved nor the effect on response times to the public. The discussion is reduced to impressions and the decision to scale up is taken without evidence.

This one-hour module focuses on pilot methodology. Participants identify the high-return tasks in their department, frame a trial on a limited scope and select the indicators that will support a decision to scale up, adjust or stop.

Learning objectives

  • Identify departmental tasks offering a measurable gain
  • Distinguish time savings from improvements in service delivered to the public
  • Frame a pilot within a defined scope and timeframe
  • Establish the baseline position before the tool goes live
  • Select indicators for turnaround time, volume and processing quality
  • Decide whether to scale up, adjust or stop in light of the results

What makes this programme different

The baseline is measured before the tool is introduced, making the gain demonstrable
Total cost includes licences, support and maintenance
Conditions for stopping the pilot are set at the framing stage

Programme

1Where the Gains Lie

Identifying high-return tasks

  • Administrative tasks that can be partially automated
  • Handling public enquiries and repetitive correspondence
  • Preparing documents, minutes and summaries
  • Distinguishing time savings from improved service delivery

2Running a Pilot

Testing small before scaling up

  • Selecting a scope and a volunteer team
  • Describing the baseline position before go-live
  • Involving the officers concerned from the design stage
  • Duration and stopping conditions for the pilot

3Measuring and Deciding Next Steps

Building the case for scaling up

  • Indicators for turnaround time, volume and processing quality
  • Gathering feedback from officers and service users
  • Costs to include: licences, support and maintenance
  • Deciding whether to scale up, adjust or stop

Who is it for

Public sector supervisors and department heads, together with organisation managers and project officers leading an initiative to improve service delivery.

Prerequisites

An initial understanding of artificial intelligence use cases

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.