AI Readiness
What is AI readiness for a business?
AI readiness is your business's capacity to successfully implement and adopt AI systems. It's not about technical infrastructure. It's about having documented IP, clear processes, and a team willing to work differently. Most AI implementations fail not because the technology isn't ready, but because the business isn't.
AI readiness is about process maturity and team adoption, not technology
Most AI pilots fail to scale because of adoption problems, not capability problems
A 90-day AI transformation works when the business has clear IP and supply constraints
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.