Details

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AI Productivity, Analysis & Repeatable Workflows

Duration: 1 Day

Introduction

Many employees already use AI casually for reporting, analysis or presentations, but in an ad-hoc way: results are inconsistent, effort is repeated, and outputs are rarely verified. This course upgrades casual users into structured users. Participants convert their own recurring tasks into repeatable AI-assisted workflows for reports, data analysis and business documents, and learn the quality-control habits needed to rely on AI output in professional work.

Learning Outcomes

After attending this program, learners will be able to do the following:

• Convert recurring tasks into reusable prompt templates and maintain a personal prompt library
• Use AI to analyse spreadsheet data and interpret differences, trends and exceptions
• Apply structured questioning techniques to move from data description to insight
• Produce business presentations and structured reports through an AI-assisted production process
• Apply a quality-control checklist to verify AI outputs, including figures and sources
• Judge when AI is and is not the appropriate tool for a task

Key Content

Module 1 – The AI Ecosystem in Depth

• Capabilities and limits of current AI models
• Reasoning models versus fast models: when to use each
• Why context determines the quality of the output
• Working with files, long documents and larger data sets
• Judging when AI is not the right tool for the task

Module 2 - From Prompts to Workflows

• Turning a one-off prompt into a reusable template
• Structuring templates with fixed instructions and variables
• Building and maintaining a personal prompt library
• Chaining steps: draft, review, refine, format
• Standardising prompts so a team gets consistent results

Module 3 – Data Analysis in Practice (Hands-On)

• Preparing spreadsheet data for AI analysis
• Comparing periods, products, customers and regions
• Identifying trends, exceptions and outliers
• Structured questioning: moving from description to insight
• Checking calculations before the result is used

Module 4 – Presentation and Document Production

• An AI-assisted production process for reports
• Building slide outlines and speaker notes
• Structured business documents: proposals, summaries, memos
• Maintaining a consistent company tone and format
• Editing and shortening for a management audience

Module 5 - Quality Control and Verification

• A working checklist for verifying AI output
• Checking figures, sources, names and claims
• Common failure patterns in AI-generated reports
• Deciding what must be human-reviewed before release
• Recording what was AI-assisted and what was verified

Module 6 - Capstone — One Weekly Task Rebuilt

• Selecting one recurring weekly task
• Documenting the current manual steps
• Building the AI-assisted workflow and template
• Running it once and measuring the time saved
• Presenting the workflow for trainer feedback

Target Audience

This programme is designed for employees, executives, supervisors, and managers who want to understand and effectively use Generative AI in their daily workplace tasks. It is suitable for participants with little or no prior AI experience who wish to improve productivity, communication, and efficiency while using AI safely and responsibly.

Methodology

Instructor-led classroom training combining interactive lectures (approx. 20%) with hands-on guided practice (approx. 80%). Methods include live demonstration, individual practical exercises on participants' own laptops using real work samples, group discussion, scenario-based workshop activities, and a capstone exercise presented for trainer feedback. Class sizes are kept small to ensure individual coaching throughout the day.