As businesses increasingly adopt AI to enhance productivity and streamline operations, many are turning to AI workflows to orchestrate powerful automations without disrupting existing systems. If your team is using Google Workspace as a productivity environment and you are considering deploying autonomous AI agents for Google or build AI-powered workflows that would leverage your existing infrastructure — this article is for you. It covers 20 real-world use cases showcasing how top organizations are transforming work using AI agents and workflows inside Google Workspace.
Table of Contents
20 Success Stories from Leading Organizations: AI Workflows In Google Workspace
1. TruckHouse – Automating Inventory Tracking with Gemini in Sheets
What they automated:
Manual inventory tracking across parts and components.
How AI Helped:
By using Gemini inside Google Sheets, TruckHouse automated tagging, data validation, and stock-level insights — all within their Workspace environment.
Outcome:
80%
reduction in manual entry and improved inventory accuracy across multiple locations.
2. Oxa – Auto-Generating Job Descriptions and Campaign Content
What they automated:
Marketing and HR content creation.
How AI Helped:
Using Docs and Gmail alongside Gemini, Oxa generates ready-to-send email campaigns, job postings, and internal templates using plain-language prompts.
Outcome:
50%
faster content development and consistent messaging across departments.
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3. Gordon Food Service – Using AI For IT Operations Automation
What they automated:
Shadow IT monitoring & alerting workflows, as well as self-service approval workflows.
How AI Helped:
Gemini AI is used to detect patterns in risky apps downloads and generate alerting emails to notify the team and the users. Also, the Gordon Food Service team used Zenphi’s automations with embedded AI to create self-service approval workflows for the employees to get access to desired Chrome extensions and applications.
Outcome:
85%
reduction in IT department workload related to support tickets.
CASE STUDY
Gordon Food Service Reduces IT Workload by 85% with Zenphi
Discover how one of North America's largest foodservice distributors automated Google Workspace admin tasks, slashed support tickets by 83%, and secured their environment with no-code workflows.
4. Mercedes-Benz – AI-Enhanced E-commerce and In-Car Assistance
What they automated:
Shopping and support experiences.
How AI Helped:
AI workflows process customer interactions and drive product recommendations, using Docs and Drive for internal automation and prompt libraries.
Outcome:
SIGNIFICANT
increase in conversion rates and improved assistant response quality.
5. Deutsche Bank – AI-Powered Fraud Detection
What they automated:
Financial fraud monitoring.
How AI Helped:
the team has created DB Lumina, an AI-powered research tool that accelerates the time it takes financial analysts to create research reports and notes.
Outcome:
x10
faster fraud detection
6. Tavezio– AI-Powered Invoice Processing
What they automated:
Accounts payable — invoice matching and approvals
How AI Helped:
Google Workspace-powered autonomous AI agent built using Zenphi monitors the inbox, tracks incoming invoices, extracts data from PDFs, matches against PO and agreements and generates emails to request corrections if needed.
Outcome:
100%
error-free invoice processing
CASE STUDY
Building A Google Workspace-Powered Autonomous AI Agent for Invoice Processing
7. Momentum Climbing Gym — Follow up Email Automation
What they automated:
Follow up emails
How AI Helped:
Gemini is used in Meet to summarize conversations with their team members nationwide, keeping everyone on the same page as they reach for new heights.
Outcome:
100%
better cross-departmental communication
Curios how Momentum Climbing Gym did it?
Learn how to build a similar workflow using Zenphi. A step-by-step video guide that allows you to automate follow up emails with summarization and action items. Bonus step: creating a Google Calendar event out of email body
8. Mondelez — Image Generation
What they automated:
Image generation
How AI Helped:
Imagen is used to generate visual for global brands like Oreo and Cadbury, supporting campaigns in more than 150 countries
Outcome:
25%
increase in ROI from generatively created content.
9. L'Oreal — Code Agent
What they automated:
Text-to-text and text-to-image generation
How AI Helped:
L’Oreal developed an AI agent using LangChain and Cloud Run to provide text-to-text and text-to-image generation capabilities. This AI agent streamlines processes and enables faster development and deployment of gen AI applications, saving the company time and money.
10. Wayfair — Coding Agent
What they automated:
Setting up the development environments
How AI Helped:
Wayfair piloted Code Assist, and those developers with the code agent were able to set up their environments 55 percent faster than before.
Outcome:
48%
increase in code performance during unit testing.
11. Pernambucanas —Fraud Detection
What they automated:
Document evaluation
How AI Helped:
A Brazilian retailer operating in more than 340 cities, improved fraud detection through its solutions created with AI (Google Cloud’s OCR)
Outcome:
80%
reduction in manual document evaluation.
12. Camp Ramaquois — Guests Onboarding
What they automated:
Document validation within the onboarding process
How AI Helped:
Using a Zenphi automation, the team built an autonomous AI agent within their Google Workspace environment (Gmail, Forms and Sheets) to extract data from incoming documents, compare against the lists and generate emails that would require missing documents.
Outcome:
2 weeks
of work time saved for the onboarding team.
CASE STUDY
Google Workspace-Based Autonomous AI Agent For Document Validation
13. Siemens AG – Predictive Maintenance Alerts
What they automated:
Document validation within the onboarding process
How AI Helped:
Predictive models identify equipment risks and generate alerts shared via Gmail to technical teams
Outcome:
25%
reduction in unplanned downtime.
14. Bosch Digital — Content
What they automated:
Marketing content creation
How AI Helped:
Gemini models are used to localize marketing content for a diverse range of markets and demographics
15. ClearObject — Content Creation
What they automated:
External and internal content creation
How AI Helped:
Gemini is used to boost both external and internal content creation, exemplified by its marketing team crafting a targeted LinkedIn strategy with Gemini’s assistance.
16. Humanizadas — Data Extraction
What they automated:
Content analyzis
How AI Helped:
Gemini is used to automate the classification of online comments as toxic or those that identify people; it also optimized the extraction of information from PDFs
Outcome:
95%
reduction in time required for these operational processes.
17. Telecom Italia — Voice
What they automated:
Customer calls replies
How AI Helped:
Telecom Italia (TIM) implemented a Google-powered voice agent to address many customer calls.
Outcome:
20%
increase in efficiency
18. TIM Brasil — Analyzis
What they automated:
Customer Service conversations analysis and reporting
How AI Helped:
AI is used to transcribe audio of calls made for customer service, and then classify, summarize, and qualify the customer’s demand with increasing precision.
19. Globe Telecom — Customer Service
What they automated:
Customer Service communications
How AI Helped:
Gemini is integrated into Google Chat and Meet to improve its internal operations and employee experience. In Chat, Gemini powers an AI chatbot called “Ask Globe” that allows employees to quickly find information from various sources, while in Meet Gemini provides live transcriptions, summaries, and action items.
20. Studiosus Reisen — Security Alerts
What they automated:
Alerts classification and filtering
How AI Helped:
Company build a custom AI model to automatically classify and filter security alerts in Google Workspace
Outcome:
70%
reduction of the manual effort to active security concerns for travelers
Why Google Workspace Is the Ideal Foundation for AI Workflows
These success stories share one thing: they use Google Workspace as the hub to deploy and operate AI workflows. Here’s why Workspace is a natural fit for AI.
— Native tools like Gmail, Sheets, and Docs already support structured and unstructured data.
— AI models like Gemini can be embedded directly into Workspace apps.
— Collaboration happens where work is already done — no switching tools.
— AI assistants help build workflows faster without relying on dev teams
Platforms like Zenphi help companies scale these efforts even further, by letting teams build autonomous AI agents inside Google Workspace, fully code-free.
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