Education · guides · practical resources

Getting Automated makes practical AI implementation understandable to business people.

I created Getting Automated to teach the concepts I use in implementation work: how to choose the right workflow, get the data foundation right, decide where AI belongs, and build something the business can trust.

The editorial standard

Business problem first. Technology made concrete.

The goal is not to make executives sound technical. It is to give business owners and operators enough clarity to recognize the right opportunities, avoid expensive AI theater, and know what a credible implementation requires.

01

Videos

Clear narratives about where AI helps a business, where it fails, and what sits underneath a reliable result.

02

Guides

Deeper explanations that connect business decisions to the data, automation, and architecture required to execute them.

03

Tools

Worksheets and templates that help teams map workflows, define metrics, and prepare an AI initiative for implementation.

Learn the implementation playbook

Start with the business problem you are actually trying to solve.

Visit Getting Automated ↗