AI for Daily Productivity

Course code: PT1022

Quality Deliverables Made Efficient Most of the work is already happening in a document, a slide deck, and a spreadsheet. What slows people down is the gap between a useful chat answer and a file a colleague can open. This day closes that gap. Participants take one set of meeting notes and carry it through the tools they already use: a document they would send, a short presentation built in the deck, and a simple dashboard they can reopen. The chat is used at each stage. The file is where the work is kept, checked, and finished. The course is for working professionals who already write, present, and report, and who want that work to move faster without a technical detour. No coding. The labs run in a document editor, a presentation tool, and a spreadsheet.

Request a Consultant

About This Course

Duration: 1 Day Skills Gained

By the end of this course, participants will be able to:

  • Turn meeting notes into a working document that keeps the decision, the owners, and what was not decided

  • Finalize a deliverable in the document, with claims checked against the source and a clear next step for the reader

  • Build a short presentation in the slide file from the same notes, with a point on every title

  • Build a one-screen dashboard from the decisions and numbers in the meeting, in the spreadsheet

  • Use AI at each stage of a piece of work, from notes to document to deck to dashboard, and keep the result in the file

Who Can Benefit

This course is designed for:

  • Analysts, project leads, and specialists who write documents and build decks as part of the job

  • Managers who review drafts and want a shared way to finish work before it is sent

  • Operations and business teams who leave meetings with notes and rebuild the same status by hand

  • Professionals who already use a chat tool and want that help inside the files they send

Prerequisites

Participants should enter this course with:

  • Comfort working in a document, a presentation, and a spreadsheet

  • Some experience with a generative AI chat tool on everyday work text

  • No coding background required

Organizational Objectives

This course assists organizations to:

  • Shorten the path from a meeting to the document, the deck, and the status view the team already owes

  • Raise the quality of AI-assisted deliverables by checking claims against the source before anything is sent

  • Give teams one way to use AI across the stages of a piece of work, rather than as a one-off chat

  • Reduce the rework that comes from pasting an unchecked draft into the file at the end

Software

A modern web browser and an internet connection. A document editor, a presentation tool, and a spreadsheet: Microsoft 365, Google Workspace, or the equivalent already in use. A chat tool is provided in the lab. No administrator access and no specific license are required to complete the exercises.

You'll Learn

Module 1 — From the Meeting to the Document

By the end of this module, you will be able to turn a set of meeting notes into a short working document a colleague can read without the transcript.

  • What to take from the notes: the decision, the owners, the dates, and what was left open

  • What to leave out: discussion that did not become a decision, and anything the notes do not support

  • Setting the reader and the ask at the top of the document before drafting

  • Using the chat to propose a structure, then accepting or changing it in the file

Hands-on Lab: From a set of notes provided in class, draft the working document in the file. Mark any line the notes do not support.

Module 2 — Finalize the Deliverable

By the end of this module, you will be able to take that document from a working draft to something a colleague could forward.

  • Reading the draft for the decision, then for claims that are not in the source

  • Naming gaps in the document, so a missing fact is visible rather than smoothed over

  • Setting tone and length for the reader who will actually receive it

  • Closing with the next step, the owner, and what was cut

Hands-on Lab: Revise the same document in place. Fix one unsupported line. Write the close so a partner can say whether they would forward it.

Module 3 — Build the Presentation in the Deck

By the end of this module, you will be able to turn the same notes into a short presentation, built in the slide file rather than pasted in from chat.

  • Titles first: the slide list should read as the story on its own

  • One point on each slide, with the evidence behind it

  • A number on a slide only when it appears in the notes

  • A last slide that states what you are asking the room to do

Hands-on Lab: Build a short deck in the presentation file from the same notes. A partner presents one slide from the file alone.

Module 4 — A Dashboard from the Meeting

By the end of this module, you will be able to turn the decisions and numbers from the meeting into a one-screen dashboard in a spreadsheet.

  • Rows for what was decided: item, owner, date, status, and where it sits in the notes

  • A simple view a manager can open without the transcript: a table, and one chart if the numbers support it

  • Keeping off the dashboard anything the meeting did not decide

  • Using the same source check on the sheet that you used on the document and the deck

Hands-on Lab: Build the dashboard in the spreadsheet from the class notes. Every number on the view should trace to a line in the notes.

Module 5 — Across the Stages of the Work

By the end of this module, you will be able to run the same path on the next piece of work: notes, document, deck, dashboard, with the chat used at each stage and the result kept in the file.

  • Where the chat helps, and where the file has to win: structure, draft, check, send

  • A short working pattern for the four jobs that recur: a status note, a decision document, a meeting recap, a slide story

  • What good looks like on Monday: open the file you already owe, and move it one stage further

Hands-on Lab: Walk one item from your own work, or from the class packet, across the stages. Note where you accepted, changed, or set aside what the model proposed.

Request a Consultant

Speak with a Learning Consultant