Speaker

ALISON AÏSSAOUI

About The Speaker

Consultant and trainer specialized in Artificial Intelligence adoption, operational excellence and business transformation. Alison designs and delivers practical training programs that help employees and managers integrate AI into their daily work. Her approach combines strategic vision, real operational experience, hands-on workshops and measurable productivity gains.

Throughout her consulting assignments Alison has facilitated executive workshops, designed training materials, coached business teams, delivered change management initiatives and supported adoption of new digital solutions.

Upcoming Event

BOOSTING INDIVIDUAL PRODUCTIVITY WITH AI

Course Outline
course overview

This module is designed to help Operational Teams, Support Functions and Administrative Staff harness artificial intelligence to boost their day-to-day productivity. Through practical, hands-on sessions, participants learn to use generative AI tools safely and effectively, understand their real capabilities and limitations, and apply structured prompt engineering techniques to produce professional-quality business documents.

Delivered over one full day, face to face or online, the module first builds a solid
understanding of how generative AI works and the risks it introduces in a professional
context, such as data leakage and over-reliance, before moving into practical prompt
engineering and role-specific application. The training uses concrete examples and
exercises tailored to each participant’s own function, whether administrative, HR,
finance, project management, sales or customer service, so that every attendee leaves
with reusable prompt templates and deliverables directly transferable to their daily
work.

By the end of the module, participants will be equipped to use AI as a reliable
productivity partner: drafting professional documents, structuring information,
automating repetitive tasks and communicating with more consistency and speed, all
while staying within the operational and ethical boundaries required in a business
environment.

LEARNING Objectives

After successful completion of this module, participants should be able to demonstrate
the following competencies:

  • Understand How Generative AI Works – grasp the underlying capabilities of generative AI tools and build realistic expectations of what they can and cannot deliver in a professional setting.
  • Recognise Operational and Professional Risks – identify key risks such as data
    leakage and over-reliance, and apply best practices to use AI safely and responsibly in daily tasks.
    Master Prompt Engineering Fundamentals – structure effective prompts around role, context, instruction and format to obtain consistent, high-quality outputs.
    Build Reusable Prompt Templates – design and adapt prompt templates that ensure consistency of quality across recurring tasks.
    Produce Professional-Quality Business Documents – apply AI tools to draft reports, emails, presentations and other business documents to a professional standard.
    Apply AI to Your Own Role – translate these skills into concrete outputs relevant to your function, whether administrative, HR, finance, project management, sales
    or customer service.
AI Tools Used in This Training

Demonstrations are conducted on the free versions of the main generative AI models on
the market, so that every participant can follow along and continue practising after the
training regardless of what their organisation has licensed:

  • ChatGPT (OpenAI, free version) – main tool for live demonstrations and hands-on
    exercises throughout the day.
  • Microsoft Copilot (Word, Excel, PowerPoint, Outlook, free version) – shown wherever participants’ organisation already uses Microsoft 365, to anchor the
    training in their day-to-day tools.
  • Google Gemini (free version) – presented as the equivalent option for participants
    on Google Workspace.
  • Claude (Anthropic) (free version) – introduced as an alternative general-purpose
    assistant, notably strong on writing and document-drafting tasks.
 

The trainer adapts which tool is demonstrated live to the tools already licensed by the
client organisation; the underlying prompting techniques taught remain the same
across all of them.

Pre-requisite for participants: ahead of the session, each participant should create a free account on ChatGPT, Microsoft Copilot, Google Gemini and/or Claude (at least one of
these tools) so that the hands-on exercises in both sessions can be carried out directly on their own device.

Course details

PART 1

Understanding Generative AI for Everyday Productivity

This session introduces participants to generative AI and its practical applications for
everyday productivity, explaining what these tools can realistically do, what risks they
introduce in a professional context, and how to use them responsibly.

1. Welcome & Course Introduction

  • Trainer introduction
  • Learning objectives
  • Participants’ expectations
  • Ice-breaker: current AI usage

2. What is Generative AI?

  • How Generative AI works
  • Main AI tools used in this training (free versions): ChatGPT, Microsoft Copilot, Claude
  • Capabilities vs limitations
  • Live demonstrations

3. Responsible AI in the Workplace

  • Confidentiality
  • Hallucinations
  • Bias
  • Human validation
  • Corporate AI policies

4. AI Use Cases Across Business Functions

Participants discover what AI can do with demonstrations (live, on ChatGPT or the tool
already used by the client organisation, see “AI Tools Used in This Training”).

  • Information Management (summarising documents, extracting key insights,
    comparing document, structuring information)
  • Professional communication (emails, meeting minutes, presentation outlines)
  • Content production (reports, procedures)
  • Analysis & decision support (brainstorming, swot analyses, action plans,
    prioritisation matrices)
  • Examples for mixed or specialized audiences (HR, Finance, Admin, Sales, PM,
    Customer service etc.)

5. Individual Reflection Exercise

  • Identify repetitive tasks and opportunities for AI adoption

PART 2

Prompt Engineering and Producing Professional Deliverables

This session builds practical AI capability by teaching participants how to write effective
prompts, build reusable templates, and apply generative AI to concrete deliverables
relevant to their own professional role.

1. Prompt Engineering Fundamentals

  • Role, Context, Objective, Constraints, Format, Tone
  • Good vs poor prompts
 

2. Building Reusable Prompt Templates

  • Templates for emails, reports, presentations, meeting minutes, analysis
 

3. From Prompt to Professional Deliverable

  • Selecting the appropriate prompting strategy
  • Iteratively improving AI outputs
  • Producing Business Deliverables
 

4. From Prompt to Professional Deliverable

  • Group formation: mixed groups of 2-3 participants from different functions
    (e.g. HR, Finance, Administrative, Sales, PM, Customer service) so each group tackles a business case blending several perspectives
  • Business case
  • Prompt design
  • Iterative refinement
  • Presentation and feedback
  • Each group works on the tool(s) its members already set up (ChatGPT, Copilot,
    Gemini or Claude)
 

5. Wrap-up

  • Key takeaways
  • Questions & AnswersTemplates for emails, reports, presentations, meeting minutes, analysis