// resources

Resources

Short, concrete reads on the groundwork for AI. No hype, no generic playbooks. The same point of view that runs through the assessment: where you actually stand, how far each function can go, and what to get right before you automate.

// framework

The four AI modes

M1 to M4: a plain map of how far AI can run each part of your business, and what each step actually takes to reach.

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// method

The 5-step framework

Landscape, direction, deep dives, plan, execution. How the five steps build on each other into a plan you can start Monday.

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// groundwork

Data as the groundwork

Most AI projects fail on data, not technology. How to route your knowledge to the right store before you automate.

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// pitfalls

Eight mistakes to avoid

The errors that sink AI adoption, from skipping the groundwork to putting everything in a vector database.

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