Overview
Practical AI for Daily Office Work is a two-day, hands-on programme for office professionals who want to use generative AI more effectively in everyday work. Participants apply structured prompting to emails, reports, summaries, meeting minutes, research, tables, spreadsheet support, presentations and process documentation.
Participants also practise verification, privacy protection, human review, reusable prompt design and simple AI-supported workflows for recurring office tasks.
Delivery Format
Hands-on workshop with demonstrations, guided practice and workplace scenarios
Target Audience
Executives, administrators, coordinators, team leaders, managers and cross-functional office teams
Prerequisites
Basic computer, internet and office productivity skills. No coding is required
AI Platform
Organisation-approved generative AI platform; final platform selection to be confirmed
Course Objectives
Explain the capabilities, limitations and common quality risks of generative AI in office work.
Write structured prompts using objective, context, audience, source information, constraints and output format.
Summarise, extract, compare and transform information into briefs, action lists, tables and reports.
Draft and refine professional emails, memos, reports, proposals and workplace communications.
Convert meeting content into minutes, decisions, action owners and deadlines.
Use AI to support tables, spreadsheets, basic analysis, summaries and presentations.
Create reusable prompt templates and repeatable AI-assisted workflows.
Apply privacy, information-classification, verification and human-review practices.
Learning Outcomes
Produce clearer prompts and improve results through structured iteration.
Transform lengthy or unstructured information into concise, decision-ready outputs.
Prepare professional first drafts for common office documents and communications.
Use AI to organise meeting, reporting, spreadsheet and presentation work.
Develop a small library of reusable prompts for recurring responsibilities.
Apply responsible-use controls before using AI-generated content in the workplace.
Module 1: AI Fundamentals for Office Work
What generative AI can and cannot do, including common failure modes.
Everyday use cases for writing, summarising, organising and decision support.
Human responsibility, review and accountability in AI-assisted work.
Identifying suitable, high-value and lower-risk office tasks.
Module 2: Structured Prompting Essentials
Prompt structure: role, task, context, audience and objective.
Using constraints, examples, approved sources and output formats.
Iterative prompting: draft, review, refine and improve.
Clarification prompts for ambiguous or incomplete requests.
Module 3: Summarise, Extract and Transform Information
Turn lengthy content into executive summaries and concise briefs.
Extract issues, decisions, owners, dates, risks and assumptions.
Compare documents and identify differences, gaps or unresolved questions.
Convert narrative text into bullets, FAQs, checklists and structured tables.
Module 4: Professional Writing and Communication
Draft emails, memos, report sections, proposals and meeting agendas.
Control tone, length, formality and audience alignment.
Improve grammar, clarity, structure and consistency.
Create and evaluate multiple versions before finalising an output.
Module 5: Meetings, Research and Decision Support
Convert meeting notes or transcripts into minutes and follow-up actions.
Prepare research briefs using provided or approved source material.
Compare options, trade-offs, risks and open questions.
Draft decision memos with assumptions, recommendations and next steps.
Module 6: Tables, Spreadsheets and Reports
Turn unstructured lists or logs into organised tables.
Use AI for formula suggestions, categorisation and data structuring.
Identify trends, inconsistencies, missing information and follow-up questions.
Create management summaries and validate calculations or interpretations.
Module 7: Presentations, Process Documents and Prompt Library
Develop presentation storylines, slide outlines and speaker notes.
Draft process maps, checklists and AI-ready standard operating procedures.
Use examples, prompt chaining and strict output formats for consistency.
Create reusable templates for recurring workplace tasks.
Module 8: Responsible Workflow and Mini-Capstone
Recognise hallucinations, omissions, bias and unsupported claims.
Protect privacy, confidential information and personal data through redaction and data minimisation.
Apply fact-checking, source validation, human review and approval checkpoints.
Design a simple, repeatable AI-supported workflow and practical adoption plan.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.