For executives building with AI
Answer one AI question well, before you bet the company on the next ten.
A founder-led engagement, four to eight weeks, that takes one real AI opportunity from open question to defensible answer. Fixed scope. Fixed price.
We know AI matters
Thought 1
We don't know where to start
Thought 2
We can't afford to get the first move wrong
Thought 3
If these sound familiar: you're not alone.
Every executive we meet is being pitched AI fifty times a quarter, watching POCs stall and getting board pressure to have a strategy by next month.
The scarcest thing in the room isn't capability.
It's a partner who'll tell you the truth.
Solution
The AI Wedge
One sharp engagement.
Led personally by a GT founder.
Four to eight weeks.
Process
Weeks 1-2
Frame
Founder-led discovery. We sit with your team, find the highest-leverage AI question in your business, and pressure-test whether it's worth answering at all.
Weeks 3-8
Answer
Technical feasibility. Business case. Implementation path. A working prototype where it makes sense. You leave with a yes, a no, or a re-scope and the evidence to defend whichever it is.
Engagement terms
Fixed scope
Fixed price
One founder in the room
Where this sits
The Wedge is the way in.
The rest of GT is what comes after.
Most engagements that begin with a Wedge grow into a deeper relationship — a build, a scaled team, a long-running partnership.
The Wedge exists so you don't have to commit to any of that before you trust us.

“AI inside the enterprise must be treated as a product. Not a project. Not an initiative. A product that evolves, iterates and improves with feedback.”
Andy Baynes
Co-founder GT and former Apple, Nest, Google executive
What we won't do in eight weeks.
×
Sell AI you don't need.
×
Build you a chatbot you didn't ask for.
×
Hand you to an SDR after the call.
×
Subcontract the engineering elsewhere.
×
Charge you for slides.
×
Claim to know your business better than you do.
What we will do.
1
A clear answer on your hardest AI question.
2
A business case your board will accept.
3
A working prototype where it makes sense.
4
An implementation path you can actually run.
5
The truth about whether it's worth doing.