AI and Automation

Where AI and automation help a business, and where they add risk. This category is for owners and managers deciding what to hand to software. It covers why tested code, not a language model, should make decisions about money and permissions, what happens to company data in public AI tools, and how to tell when running AI on your own infrastructure pays off. It also covers which IT operations work to automate first, how to earn trust with shadow mode and approvals, and what should always stay with a person.

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AI agents vs workflows: let AI read, let code decide

AI agents vs workflows for business software. Learn where models help, how code controls approvals, and which questions to ask before you fund an AI project.

AI and Automation

Shadow AI: where your company data goes, and what to do about it

Shadow AI puts company data into unapproved tools. Check vendor terms, set clear data rules and compare the full cost of subscriptions with a private platform.

Oct 8, 2026

AI and Automation

What to automate in IT operations, and what to leave to people

What to automate in IT operations: a simple test for which loops to hand to software, approval data from our own system, and the failures that set our rules.

Oct 8, 2026