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Videos
Clear narratives about where AI helps a business, where it fails, and what sits underneath a reliable result.
Education · guides · practical resources
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
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.
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Clear narratives about where AI helps a business, where it fails, and what sits underneath a reliable result.
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Deeper explanations that connect business decisions to the data, automation, and architecture required to execute them.
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Worksheets and templates that help teams map workflows, define metrics, and prepare an AI initiative for implementation.
Learn the implementation playbook