From Demo to Deployment: Where Most Companies Get Stuck
Buying an AI tool is easy. Changing the workflow is hard. Armando breaks down the gap between demos and deployment, plus a seven-question readiness test.
Topics Covered
Show Notes
Armando J. Perez-Carreno breaks down why so many AI projects look amazing in a demo, then quietly disappear inside the company. Buying the tool is the easy part. The hard part is changing the workflow around it, and that is where most efforts stall.
In this solo episode he shares the workflow-first approach his agency uses with clients. He covers a seven-question readiness test, how to map a workflow before you decide where AI belongs, a real client onboarding example, and the three kinds of AI purchases worth knowing before you sign anything. Gartner predicts at least 30 percent of generative AI projects get abandoned after proof of concept, and this episode is about staying out of that group.
Topics Covered
- Why AI demos rarely survive contact with real data
- The difference between launching and truly deploying AI
- A seven-question readiness test for any workflow
- How to map a process before adding AI
- The three kinds of AI purchases and which fits small business
- Questions to ask any vendor before you sign