AI Workflows in Google Workspace

Summary

This meeting/demo, led by Gael Breton (Authority Hacker and System Stack), showcased practical workflows to leverage Google Workspace Gemini AI across Meet, Gmail, Sheets, Docs, and more.
Key demonstrations included using Gemini for automated note-taking, rapid email handling, spreadsheet analysis, document drafting, content planning, and sales call analysis with Notebook LM.
The session focused on maximizing productivity and minimizing manual tasks by embedding AI into daily business operations, without the need to switch between multiple tools.

No explicit action items with deadlines were assigned during the session, as this was an instructional demonstration. Viewers are encouraged to implement the presented workflows within their own teams and work environments.

Demonstrated using Google Workspace Gemini as an integrated, cost-effective alternative to third-party tools (like Auto.AI) for automatic meeting summaries and transcript-based action items.
Showcased real-use of Gemini Noteaker to capture detailed call notes, summaries, next steps, and to reuse the context in subsequent emails or documents.

Demonstrated how Gemini can auto-compose contextual email updates based on meeting transcripts, enabling users to quickly brief teammates (e.g., summarizing a client call for an absent colleague).
Showcased AI-powered email summarization and rapid, polite reply generation to common requests (such as declining guest post opportunities).
Highlighted Gemini’s ability to scan the inbox for urgent emails and surface those requiring immediate attention, aiding overwhelmed inbox management.

Showed natural language querying of spreadsheet data to analyze trends (e.g., identifying declining affiliate programs and visualizing revenue by program).
Demonstrated new AI functions for auto-categorizing company data and generating custom formulas, automating repetitive analysis and organization tasks.

Walked through using Gemini to generate client proposals using call transcripts as reference material, tailoring tone and structure to match previous discussions.
Demonstrated iterative refinement: shortening content, adding payment terms, and generating custom images.
Highlighted the live document summary block that updates as documents change, useful for collaborative editing.

Illustrated using Gemini’s Flash and Pro models for fast scheduling (e.g., adding meetings to Calendar via chat) and personalized prompt crafting by analyzing sent emails.
Guided on creating custom “gems” to automate writing tasks in one’s own style, especially for responsive emails.

Demonstrated using Gemini Canvas for deep brainstorming and research planning, allowing dynamic back-and-forth to challenge ideas, organize key points, and structure content collaboratively.

Explained leveraging Notebook LM to aggregate sales call transcripts, employing AI to extract recurring strengths, identify improvement areas, and support feedback with specific quotes, essentially acting as a sales coach.

Preference for Google Workspace Gemini over external AI tools — Rationale: Deeper integration into daily-used Google apps, cost advantage, and reduced friction by avoiding app/tab switching, leading to higher productivity.

None raised—session was demonstration-focused. Viewers are encouraged to explore further uses of Gemini features, especially in Google Slides and Vids, which were not covered.