## Use Cases

### Data Analysis Agent
[Get instant answers, directly from Slack](/content/use-cases/data-agent/index.html)

### Support Agent
[Automatically triage issues and spot patterns.](/content/use-cases/support-agent/index.html)

### CRM Agent
[Manage your CRM without clicking into your CRM.](/content/use-cases/crm-agent/index.html)

### Meeting Prep Agent
[Triage, summarize and resolve requests](/content/use-cases/meeting-prep-agent/index.html)

### Call Analysis Agent
[Understand what's working through natural conversation.](/content/use-cases/call-analysis-agent/index.html)

## Resources

### Templates
[Launch ready-made AI automations in minutes](/content/templates/index.html)

### Blog
[Product updates, how-tos, customer stories and AI updates](/content/blog/index.html)

### Customer Stories
[How AI-native teams automate with Gumloop](/content/category/case-studies/index.html)

## Learn

### University
[Self-placed lessons to build AI workflows like a pro](/content/university/index.html)

### Learning Cohorts
[Week-long AI automation crash course](/content/cohorts/index.html)

### Webinars
[See AI pros build real use cases, live and on-demand](/content/university/videos?category=Webinar/index.html)

### Docs
[Guides for every integration and API reference](https://docs.gumloop.com/)

## Community

### Hire an Expert
[Work with a vetted Gumloop expert](/content/experts/index.html)

### Creators
[Earn money for sharing your love of Gumloop](/content/partners/apply-to-be-a-creator/index.html)

### Forum
[Ask questions, swap tips, meet other AI automators](https://forum.gumloop.com/)

---

Gumloop’s support team built a fully automated support operations system, using the same tools available to every Gumloop user.

- **500k+** Support-related workflows run every week  
- **18** Unique MCP tools integrated into Gumloop’s support automations  
- **<5 min** Response time for support tickets

The biggest enterprise companies on earth rely on Gumloop for their business-critical AI automations. If these companies ever face issues or need guidance, our world-class support team is immediately available to help them out, at all hours of the day. These companies know us for the quality of our small but mighty support team. **Our support team has only two people.**

**We do it with Gumloop.**

## Getting real-time user intelligence at scale

To address the customer’s concerns, a support agent needs to understand the customer’s context. What have they been doing in the product?

- **User data enrichment**: Every time a support ticket opens, a workflow automatically queries internal databases and pushes a complete user dossier directly into Pylon.
- **Error detection and enrichment**: When an error is detected, a message is sent to an error-monitoring Slack channel.
- **Deep user research**: For high-value customer profiles, a user research agent takes a user’s email address, performs a comprehensive search on them using Apollo, Exa, Parallel, and Firecrawl, and posts a summary to a Slack channel.

## Support operations and ticket management

Gumloop’s human support agents are supported by a team of specialized AI agents.

- **Diagnosing user issues**: An agent (named “Gummie Support”) first determines what kind of issue it’s dealing with.
- **Crafting helpful responses**: Another agent (named “Support Captain”) formats the investigation results into friendly customer communications.
- **Automatic cleanup**: Two other agents automatically archive email threads and Pylon tickets after issues have been resolved.
- **Pre-call research**: An agent automatically researches the user before a support call.
- **Following up with customers**: A workflow identifies users to follow up with every day, ensuring that the solutions provided are effective.

## Automated, continual monitoring

- **Platform health monitoring**: An agent automatically investigates error rates and monitors platform health.
- **Social listening and brand monitoring**: An agent monitors Reddit and Twitter for relevant mentions of Gumloop and responds to customer complaints.
- **Daily support summary**: An agent fetches the last 24 hours of support tickets and posts a formatted summary to Slack.
- **Support doc maintenance**: A workflow analyzes the Gumloop support docs and drafts missing content.
- **Conversational analysis**: Another workflow categorizes and analyzes every support conversation to understand trends and user sentiment over time.

## Lessons learned from using Gumloop at Gumloop

Gumloop’s multi-agent support operation grew one workflow at a time, over months of continuous iteration.

- **Know your models**: Use different models across agents for different tasks to optimize cost and capability.
- **Context is king**: Quickly assemble a complete customer profile for each ticket.
- **Be proactive**: Address problems before users report them, making support faster and more efficient.