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INGO · 2025

100% recommendation.

Three-day AI capability training for 40+ civil society leaders.

THE SITUATION

IOM Pakistan needed to build practical AI capability across a cohort of 40+ civil society and programme leaders. The challenge was not awareness: participants already knew AI existed. The challenge was applied fluency: getting people from knowing AI is useful to actually using it in their work.

The audience spanned a wide range of technical confidence levels. The training had to work for a senior programme director and a field coordinator in the same room.

WHAT WE DID

01

Pre-training needs assessment

Individual baseline assessments for all participants before the training began. Content calibrated to the actual starting points of the cohort, not a generic curriculum.

02

Three-day applied training

ChatGPT, Claude, and Gamma used live throughout the three days. Each session required participants to work on their own actual tasks, not practice exercises. Custom handouts built overnight to incorporate the previous day's learning.

03

Internal trainer identification and preparation

Three participants identified as internal trainers during the programme. Separate coaching sessions delivered. Train-the-trainer materials prepared for cascade delivery.

04

Post-training cascade design

Each of the three internal trainers received a complete session design package for delivering the training to their own teams. The cascade programme was running within 30 days of the main training.

THE OUTCOME

4.5/5

rating across cohorts

100%

recommendation rate

3

internal trainers cascading onward

Three-day training delivered across 40+ participants. Four-point-five out of five rating. 100% recommendation rate. Three internal trainers now cascading independently.

WHAT IT PROVES

The IOM engagement proves the adoption model. Applied training, with real work, real tools, and real outputs, produces real adoption. The 100% recommendation rate did not come from a polished presentation. It came from participants leaving the room having actually done something new with AI, something they could do again the next day. The three internal trainers are evidence that adoption does not stop when we leave.