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Case study

How ADA Global teams made AI part of daily work

We ran nine programmes for more than 450 staff. A survey some months later shows what people still do.

Fawwaz leading an AI Boost Center session at ADA Global
"AI has reduced the time I spend on repetitive tasks and improved my productivity. It also helps me create clear and professional communication more quickly."
Foysal AhmedSenior Associate, Client Success and Operations, ADA Global

What the survey found

74%

now use AI tools for work every day

97%

say that their work quality is better

88%

save at least 30 minutes each week

Every session ended with its own feedback form. This survey is a different test. We sent it months later, and only to the people who attended in person, to find out whether they still used AI. 34 answered. Every answer is self-reported, and we show the weak results next to the strong ones.

What happened

The problem

Many ADA teams already used AI before our first session. Each team had found its own way to use it, and there was no shared method between teams.

What we did

We ran nine programmes, one team at a time. We built each programme for the work of that team, so content, pre-sales, legal, IT and finance each had their own version.

The result

Staff rated their own AI skill at 3.1 out of 5 before the training and 4.0 after it, across six areas. Most respondents now use AI every day. They credit about half of the time saving to the training, and we report that split.

Industry
Data and AI
Offices
Global
Trained
More than 450 staff, 9 programmes

One task for each person, before and now

  • Summary of long email threadsFinance team30 to 60 min5 min
  • Weekly brand reviewe-Commerce team3 days2 hours
  • Cleanup of vendor data columnsFinance teamA whole dayUnder an hour
  • Document reviewInternal Audit team30 to 60 min5 min
  • Research across sourcesFoysal Ahmed, Client Success30 to 45 min10 to 15 min
  • First drafts of UX flowsPoonam Shetiya, UI/UX2 to 3 hours30 to 45 min

Their own words and numbers. Everyone here gave written permission to be quoted, by name or at team level.

Three things we learned

Train the real work, not the tool

We built every programme for one team's role, not as a general tool demonstration. The survey shows the habit was still there months later.

Personal change comes first

Staff rated their own change high. The statement "my colleagues noticed" scored lowest. A small visible change does not mean the training failed.

Train every team, not one group

Nine programmes reached nine teams. The method went across the company instead of sitting with one central group of experts.

A demo does not change how people work.

Start with one team and one day.

The pilot runs with one team. We measure it in the same way, and we send you the same numbers.