Lean team? Get your AI starter kit.
Lean team? Get your AI starter kit.
88% of AI pilots don’t make it into production. Don’t let yours be one of them. Turn your lean team’s agility into a competitive powerhouse with this 4-step strategic playbook. Learn how to move from simple no-code wins to sophisticated agentic workflows that actually move the needle for your business.
What could agentic AI do for your business?
Which AI projects should your lean team pursue?
Here are eight common use cases—starting with light lifts and moving through to powerful, multi-step workflows.
Pre-built AI solutions
You can use simple no-code solutions to automate workflows and quickly gain some high-value, low-lift wins. Here are some examples.
Use case | Challenge | Solution |
Producing instant email drafts | You’ve just come back from vacation, and need to deal with a big backlog of emails. | Connect your business email to Gemini Enterprise, and use it to draft a professional and friendly reply to all customers that are awaiting a response. |
Analyzing customer feedback | You want to automatically sort customer feedback in your inbox to see who’s happy, who’s not, and what products they’re talking about. But hiring developers to build a custom analysis tool isn’t in the budget. | Use AI Studio to turn your prompt into a functioning app. This ‘vibe coding’ approach allows you to describe what you want and deploy it without writing complex code. This way, you can prove your idea works before committing to a big development project. |
Use case
Challenge
Solution
Producing instant email drafts
You’ve just come back from vacation, and need to deal with a big backlog of emails.
Connect your business email to Gemini Enterprise, and use it to draft a professional and friendly reply to all customers that are awaiting a response.
Analyzing customer feedback
You want to automatically sort customer feedback in your inbox to see who’s happy, who’s not, and what products they’re talking about. But hiring developers to build a custom analysis tool isn’t in the budget.
Use AI Studio to turn your prompt into a functioning app. This ‘vibe coding’ approach allows you to describe what you want and deploy it without writing complex code. This way, you can prove your idea works before committing to a big development project.
Data agents
Within your data platform, data agents can help connect and improve the quality of your data—getting it ready for more AI innovation. Here are some examples.
Use case | Challenge | Solution |
Calculating true marketing ROI | Your marketing team knows how much they spend on digital ad platforms, but that data is separate from your e-commerce sales data. You don’t know which ads actually lead to sales. | Use the Data Engineering Agent in BigQuery to create a data warehouse for your ad and sales systems.Then, use the Conversational Analytics feature in Looker to get instant insights by asking questions like, “What was our true ROAS (return on ads spend) for the ‘SummerSale’ campaign?” |
Cleaning data for segmentation | You want to create customer segments (e.g., high value customers), but your data is messy. Your CRM and e-commerce systems have duplicate records and missing fields. | Connect your systems to BigQuery and use the Data Science Agent to automatically clean and label your data. It can flag errors, fill in missing values, and align formats—so that the “menu for your data” is accurate before you use it in marketing campaigns. |
Use case
Challenge
Solution
Calculating true marketing ROI
Your marketing team knows how much they spend on digital ad platforms, but that data is separate from your e-commerce sales data. You don’t know which ads actually lead to sales.
Use the Data Engineering Agent in BigQuery to create a data warehouse for your ad and sales systems.Then, use the Conversational Analytics feature in Looker to get instant insights by asking questions like, “What was our true ROAS (return on ads spend) for the ‘SummerSale’ campaign?”
Cleaning data for segmentation
You want to create customer segments (e.g., high value customers), but your data is messy. Your CRM and e-commerce systems have duplicate records and missing fields.
Connect your systems to BigQuery and use the Data Science Agent to automatically clean and label your data. It can flag errors, fill in missing values, and align formats—so that the “menu for your data” is accurate before you use it in marketing campaigns.
Data-driven automation
Take advantage of your newly connected data to automate previously repetitive and labor-intensive tasks. Here are some examples.
Use case | Challenge | Solution |
Providing customer support triage | Your support teams spend too much of their time on repetitive queries instead of more valuable strategic projects. | Build a customer service agent with Customer Experience Agent Studio that integrates with your CRM and orders data. It can resolve most issues in real time via voice or chat, and escalate complex cases automatically. |
Automating inventory forecasting | Your team still has to track stock manually, which can lead to unnecessary and avoidable delays and errors. | Build an agent to automatically track real-time stock levels across connected systems. It flags low-stock items and predicts run-out dates using sales trends, generating a daily alert: “You’re running low on product X—estimating 4 days until out of stock.” |
Use case
Challenge
Solution
Providing customer support triage
Your support teams spend too much of their time on repetitive queries instead of more valuable strategic projects.
Build a customer service agent with Customer Experience Agent Studio that integrates with your CRM and orders data. It can resolve most issues in real time via voice or chat, and escalate complex cases automatically.
Automating inventory forecasting
Your team still has to track stock manually, which can lead to unnecessary and avoidable delays and errors.
Build an agent to automatically track real-time stock levels across connected systems. It flags low-stock items and predicts run-out dates using sales trends, generating a daily alert: “You’re running low on product X—estimating 4 days until out of stock.”
Agents built for multi-step workflows
Scale from single tasks to an automation powerhouse that achieves custom outcomes for your business. Here are some examples.
Use case | Challenge | Solution |
Automating customer returns | You’ve already automated parts of your customer support flow, including answering support queries. But your team still has to manage the return process manually, coordinating between systems and departments. | Use Customer Experience Agent Studio to create an agent for handling the entire return process. Once it receives the customer’s request, the agent checks the inventory system to confirm stock, verifies the purchase date against your returns policy, processes the refund in your finance software, and sends a personalized email with the shipping label and final confirmation. |
Coordinating supply chains | You’ve built an agent to forecast inventory and send daily stock alerts, but supply chain updates like placing orders or confirming delivery still happen manually across systems. | Set up a custom smart agent using Gemini Enterprise Agent Platform and connect it to your inventory and news feeds. It constantly monitors for risks (e.g., low stock + shipping delays) and instantly generates an actionable solution,such as a draft purchase order for a backup supplier, so you can prevent stockouts. |
Use case
Challenge
Solution
Automating customer returns
You’ve already automated parts of your customer support flow, including answering support queries. But your team still has to manage the return process manually, coordinating between systems and departments.
Use Customer Experience Agent Studio to create an agent for handling the entire return process. Once it receives the customer’s request, the agent checks the inventory system to confirm stock, verifies the purchase date against your returns policy, processes the refund in your finance software, and sends a personalized email with the shipping label and final confirmation.
Coordinating supply chains
You’ve built an agent to forecast inventory and send daily stock alerts, but supply chain updates like placing orders or confirming delivery still happen manually across systems.
Set up a custom smart agent using Gemini Enterprise Agent Platform and connect it to your inventory and news feeds. It constantly monitors for risks (e.g., low stock + shipping delays) and instantly generates an actionable solution,such as a draft purchase order for a backup supplier, so you can prevent stockouts.
