CASE STUDY · SOFTWARE AND TECH SERVICES
Nurole took AI to every department, not just tech
Nurole, a software and tech services company, ran a pilot of Mindstone's Enterprise AI Academy so its non-technical teams could put AI to work too.
The result
4 hours a week
saved per person on average, before the pilot ended
reported by employees using AI on their own tasks
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Hands on
People applied what they learned straight away
trying new tools and automating their own tasks
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Tools in demand
Teams asked for tools to do the jobs they found
GPT-4 and Zapier among them
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Teams talking
AI became a conversation between departments
people shared ideas and what worked
The challenge
One part of the company understood AI. The rest did not, yet.
Nurole's technical teams understood what AI could do. Its other teams did not, or not yet. The company wanted everyone to share that understanding and see what AI could mean for the business.
The pilot had three aims: raise awareness of what AI makes possible in every department, get people thinking about where it could apply, and help them start using it in their everyday work.
Where it went next
What people asked for showed where to invest
The pilot was a low-risk way to test a bigger commitment. The requests for tools showed the leadership where AI was already useful, and that gave Nurole the confidence to invest in AI tools across the business.
The change went beyond tools. People across departments went on to apply AI creatively to their own problems.
The program does a good job of making the potential benefits of AI tangible through practical and relevant examples in what can easily otherwise become an abstract discussion of fantasy disconnected from reality.
YOUR TURN
Every team has work AI can take. Not just tech.
Nurole started with people's own tasks. See where AI pays off first across your departments, and get a straight answer on the return.
- Where AI pays off first, by department
- What non-technical teams like yours fixed first
- A straight answer on the return
About 10 minutes
30 minutes, 3 straight answers
Not ready to talk yet? Explore 58,733 AI use cases by department
Sources and notes
- 4 hours a week: average time saved per employee from using AI for their own tasks; base: Nurole employees in the pilot; period: before the programme had finished, 2024. Self-reported (Measured, self-reported). Source: one-pager lines 32 and 38.
- Tool demand (GPT-4, Zapier), company-wide investment in AI tools, cross-departmental discussions: source narrative, no figures. Source one-pager lines 38 to 42.
- The quote is the closing sentence of the one-pager testimonial, verbatim.
- About 10 minutes and 30 minutes: Mindstone diagnostic and call lengths, from the mindstone.com homepage.