AI at Work
Practical AI at work guidance for everyday users, covering tools, workflows, risks and real examples explained in plain English.
AI Confidential Documents: The Safe Way to Use Work Files
Before pasting company files into AI, classify the document first. Here is a practical way to protect confidential data without…
AI customer data without the privacy mess
AI customer data can help teams spot feedback patterns, but only when records are minimised, redacted, checked and reviewed before…
Workplace AI Privacy: The Information to Keep Out
A practical workplace AI privacy guide for deciding which customer data, payroll details, contracts and public copy should stay out…
Human in the Loop AI Without the Bottleneck
Human in the loop AI explained: how to keep judgement in the workflow without checking every task by hand.
AI Sources: How to Ask for Proof You Can Trust
AI sources can be useful, but only if you check them. Here is how to ask for links, test evidence,…
When AI Accuracy at Work Matters More Than Speed
When speed is not the main goal, AI should be treated as a drafting and checking aid, not a source…
How to Spot When AI Has Missed the Most Important Point
AI can produce a fluent summary and still miss what matters. Here is how to check emphasis, priority and consequence…
How to Check an AI Draft Before You Send It at Work
A practical workplace checklist for reviewing AI assisted emails, reports and summaries before they leave your desk.
AI decision support: Compare Options Without Handing Over Judgement
Use AI to structure workplace choices without outsourcing judgement. This guide shows how to compare options, spot gaps and keep…
How to Use ChatGPT for Work and Daily Tasks
A practical guide to using ChatGPT at work and at home, with concrete examples for emails, summaries, planning and getting…