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- ✅ 3 weeks of work. Done in 3 hours.
✅ 3 weeks of work. Done in 3 hours.
What if AI did your team’s work before your next meeting?

Hi, and happy Tuesday.
You’ve seen it before.
A project that should take a few days… drags into weeks.
Designers, developers, meetings, back-and-forth emails.
And all that time? Your competitors are moving faster.
Now imagine this:
The same project - finished in 3 hours. By AI.
No team. No endless coordination. Just input the business context, and AI builds the output - in a fraction of the time.
Sounds impossible? I thought so too… until I put it to the test.
In my latest video, I challenge AI to build something that normally takes weeks - with a flight deadline hanging over me. The results? Eye-opening.
Why does this matter to you as an innovation-focused leader?
Because your competition won’t just use AI to speed up work.
They’ll use it to redefine workflows your team thought were untouchable.
Coding, law, accounting and even R&D are already shifting.
We’re already helping clients turn activities that once dragged on for months into days -ranging from querying historical archives to scanning for RFPs.
We worry that clients don’t see how fast work is shifting, and will miss the window to reshape their teams and organizations - while others leap ahead and sip cocktails on the beach.
That’s why I filmed the entire process.
It’s not hype. It’s not theory.
It’s what’s already happening inside companies today.
The question is: will you adapt early - or get left behind?
Talk soon,

Dino
PS. Want a deeper dive or have questions? Use this 1 question form: https://forms.gle/LxPZWD9rSW4SGfXQ7
Catch up on our recent videos:
Dino Gane-Palmer breaks down Microsoft AI chief Mustafa Suleyman’s bold claim that “AI is a new digital species” - then flips the script to reveal why the real winners are betting on Invisible AI, not chatty digital companions. Dino also unpacks the alternatives to a seven-figure ChatGPT Enterprise bill. 7 min 39sec |
Why do so many enterprise AI roll-outs sputter? In this fast-paced session Dino Gane-Palmer reveals a 4-part formula he learned from food-innovation leader Stacey Popham (VP R&D, Conagra; Crystal Light alum). Learn what Crystal Light can teach us about AI adoption. 10 min 6sec |
OpenAI’s end goal is a “sentient enterprise” - a vision first sketched by Prof. Mohan Sawhney in 2015 - shortly before OpenAI was founded. The professor has since changed his mind and now thinks appropriate autonomy (not total automation) will win. 12 min 17sec |