What determines AI readiness?
Assess Readiness
AI readiness isn't a tech question. It's a business question. Five factors determine whether your business is ready to implement AI systems successfully.
- Process maturity. How much of your business is actually documented, not in your head
- IP accessibility. Frameworks in written form are high accessibility; Looms and DMs are low
- Team openness. Your team needs to be genuinely willing to work differently
- Supply constraints. More demand than you can deliver? AI readiness is high
Take the assessment → to get a clear picture of where you stand across all five dimensions.
43.8%
Of US businesses now use paid AI tools, up from 5% in three years
What is a 90-day AI transformation program?
Ninety days. Three phases. One focused outcome.
Month 1: Immersion. We build your AI fluency from the ground up. Toolchain setup, industry landscape, and a real build. By the end of Month 1, you think in AI.
Month 2: Mapping. We extract your IP, name your methodology, and design a build-ready leverage plan around your highest-leverage bottleneck. By the end of Month 2, you know exactly what to build.
Month 3: Transformation. We build it with AI orchestration. Your system goes live. Team gets trained. By the end of Month 3, it's running in your business.
Build vs buy vs hire: choosing your AI delivery model
DIY (Build)
You figure it out yourself. Works for learning. Slow for building. Most founders are still experimenting six months later.
Agency (Done-for-you)
You hire an AI agency to build something. The problem: you don't own the capability. You depend on the agency.
Program (Done-with-you)
You build it together with a specialist team. You learn as you build. You own the capability when it's done.