AI+ At Work: Foundations

AI now sits inside familiar work tools, so professionals need a practical way to move from occasional experiments to safe daily habits. You leave able to explain the shift, recognise The Three-Stage Trap, sort Standalone chat tools, Embedded AI, and Specialist tools, check access, and choose a daily driver.

Prompting AI at work with PRISM shows how Persona, Request, Intent, Structure, and Model turn thin asks into usable drafts for everyday tasks where audience, tone, and stakes matter. You can scale PRI, PRIS, and full PRISM, redirect weak drafts, keep judgement with you, and build a reusable prompt library.

Email, messaging, and meetings are the fastest places to build an AI habit because they are high-volume, repeatable, and surrounded by mechanical work. By the end, learners can triage and draft messages, prepare, capture, and recap meetings, and apply judgement on voice, confidentiality, consent, policy, and authorship.

AI for documents and research covers how AI helps with outlining, drafting, editing, summarising, and workplace fact-finding while accountable judgment stays with the writer. By the end, learners can choose source-cited tools, spot high-stakes boundaries, and apply TRUST before documents or research outputs leave their desk.

AI safety at work starts before the paste, because work data can be confidential, personal, regulated, or commercially sensitive and the wrong tool can create exposure that cannot be undone. By the end, you can run GUARD, classify data tiers, check employer rules, choose safer paths, and write one-page Personal AI Use Rules.

Open AI use turns private habits into team practice, reducing duplicated effort, unclear boundaries, and safety near-misses. You can raise AI with managers and colleagues, set four practical norms, use Replace, Assist, Elevate, Create to protect skills, and run Observe, Try, Build, Reflect.