The framework for working with AI
How a company decides, prioritizes, builds and measures its work with AI — without buying tools before understanding the problem.
The framework for working with AI
- Series
- 01
- Class
- 01–05
- Take
- —
- Product
- CAIO+
- Host
- Andrés
- Guests
- Juan and Edixon
- 01·01 Why most companies adopt AI badly Recording
- 01·02 Listen and quantify: the diagnostic To record
- 01·03 Vision, targets and map To record
- 01·04 Build: the plan becomes product To record
- 01·05 Automate and prove To record
This series opens the season and is the spine of all the others. It teaches the seven moves we work with: listen, quantify, vision, targets, map, build, and automate + prove.
The other five series apply them to a real product. When the LexPro series says “this is the Build step”, this is the step.
The case is CAIO+: a fractional CAIO — a diagnostic, a 90-day plan and the support to install it — measured on one thing only: hours per week recovered.
The other series
Software for property management
How a trade that lives in paper, group chats and spreadsheets — running a residential building — becomes a web and mobile app.
An AI SaaS, done right
Building a vertical SaaS with AI from zero to production: spec, stack, tests and deploy — and what's still missing.
Agents with a human in the loop
Designing work where AI executes and a person approves — and knowing when not to use an agent.
An agent that keeps your books
You tell it what happened and the agent records it, tags it, simulates scenarios and flags patterns. You decide.
An AI seller that gets the meeting
Automated prospecting with judgment: signals, messages and reading replies — all the way to a meeting a person closes.