Scaling AI across an organisation: seven things that matter

Today I came across a rather funny tweet with memes about AI adoption in enterprise organisations. Very funny and true to life at the same time. The only thing missing was something like “we created a wall of shame where we post the employees with the lowest use of AI tools”.

To make this post useful after all, I’ll share a talk with a much saner approach to scaling an AI strategy across an organisation. I’ve had a very similar experience with several organisations, so the talk really resonates with me. The key points, in order of importance:

1. A clear AI strategy at the organisation level. Worded so that any employee can explain it.

2. Support from the company’s leadership. Integration with the organisation’s overall strategy or OKRs.

3. Diversity in AI tools and room for experiments. Simple, clear guidelines on which tools are available.

4. Basic training for all employees. People should share the same understanding of what they use and which tools help with which tasks.

5. Growing your own internal “AI champions” and supporting them. Highlighting positive examples across the organisation.

6. Internal local communities at the level of teams or products. Small, united by a shared context.

7. Honest, transparent measurement of results against the goals set in the strategy. No metrics for the sake of metrics; tie them to measurable goals.

And here’s the talk itself: youtu.be/2h3NWZdhuYw.