What Internal AI Projects Teach You That No Guide Will, Part 1
Anyone who has ever built an enterprise AI application knows the feeling: you look at the first promising tests, the team is excited, everything seems to go to plan. But a few sprints in, the project just stalls, and not for technical reasons.
I want to explain why working prototypes fail.
A large part of my job as Head of Corporate AI & Efficiency is using AI to take routine work out of business functions like recruiting, marketing, and business development. We started earlier than the “every company has AI” era and, since then, shipped 15+ tools that work inside our teams.
There’s no shortage of AI guides right now, but few show the hard calls you'll face while shipping your own build. In this story, I will share several projects and the lessons they taught us about change management*.*
How building internal AI tools has changed
When we started...
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