The AI Employee Handbook
What an AI employee is, what access to give it, and how your people check its work.
PDF guide
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AI, explained
The simplest way to understand an AI employee is to onboard it like any other hire: an inbox, a computer, logins, training, a job description, and a manager. Here is what each one means for a manufacturer, and why the real question is clarity.

AI, explained
AI vendors are starting to call on manufacturers. Software got cheap, demos take a day, and AI will make mistakes, so here is where the cost of a project sits and the questions that separate a partner from a pitch.

AI, explained
Much of the office work at a manufacturer comes down to reading, writing, and processing files, which is the work AI does best. For owners and operations leads, here is why the boom is coming and what separates the companies that will get it right.

Digitize your operation
Every manufacturer's office carries steps that outlived the person who asked for them. Here is how to find them before anyone points AI at the pile.

The briefing
Open jobs, ERP overruns, quote times, breach costs, and model prices, each linked to the page we read it on, with what it means for your company and what to do about it.

The briefing
Six things that happened in AI and manufacturing this month, what each one means for your company, and what to do about it.

AI, explained
AI is moving from a chat window you visit to a colleague that reads, drafts, and nudges you while you are away. Here is what it may do on its own, what always waits for a person, and how you see every step it took.

Leading the change
What your estimators, quality managers, and coordinators do all day once AI handles the first pass, and how to explain the change to your team.

AI, explained
The AI labs, their current models, what benchmarks mean, and why your data matters more than the brand, explained for manufacturers.

AI, explained
AI can now write the software a manufacturer needs, so a tool built around your work is no longer the expensive part. The expensive part is being clear about the work, and here is what that means on paper.

Digitize your operation
Why the AI you pick matters less than what it can see, and how to tell whether your data is clean enough to start.

Leading the change
How to put AI employees on paper the same way you put people there, with a role, a manager, permissions, and a way to tell whether they are doing the job.

Leading the change
Owners ask about AI's return and expect a count of hours saved. The first thing a manufacturer gets back is attention, and here is how to see it in a normal week.

Digitize your operation
How turning the paper forms you already use into digital ones lets you trace any part from its material to its shipment, which is the record an AI needs before it can draft your compliance packets.

The AI employee
What happens when an AI employee joins your shared inbox: what it reads, what it drafts, what your people approve, and the rules that keep it safe.

The AI employee
People skip reviews that are painful, so the design of the review screen decides whether anyone checks the AI's work. Here is a test any owner can run on any tool.

AI, explained
Humanoid robots are starting to work in real car plants and warehouses, mostly in pilots. Our view is that the manufacturers that benefit first will be the ones whose work is already digital, traceable, and owned, and the groundwork starts with the paperwork.
pages on hiring, training, and managing your first AI employee.
How AI works from the ground up, how to pick the first job, how to test it on 50 of your past cases, and a 90-day plan with fill-in templates. Free.
Guides and workbooks to print or bring to your next leadership meeting.
What an AI employee is, what access to give it, and how your people check its work.
PDF guide
Get the guideDraw your first AI org chart: roles, managers, permissions, and approval rules.
PDF workbook
Get the workbookTwenty yes-or-no questions to see where your company stands before you spend a dollar.
One-page PDF
Get the checklist