3 simple AI agent workflows you can set up this week (no code)

Three straightforward AI agent workflows that can be set up in a week without any coding:

1. Lead research and personalized first lines (Sales):

The issue: Sales representatives spend hours researching prospects before crafting an outreach email, and personalization often devolves into a generic "I saw you work at {company}." The solution: Export a target list from Apollo.io and import it into Clay, enriching each row with company and website information. Add an AI column that generates a one-line opener based on that enrichment data, not created by the AI.

Review a sample manually before sending out any emails. This approach ensures accuracy and catches any oddities. The workflow is affordable, and testing a small batch is simple and quick.

2. Support ticket triage and tagging (Support):

The issue: Agents manually read, tag, and route every ticket, with urgent issues mixed in with low-priority ones. The solution: Set up a trigger on every new Zendesk ticket (Zapier can handle this easily). Send the ticket text to an AI step that classifies the category, urgency, and language. Update the ticket with these tags and priority, then route urgent tickets directly to an on-call group.

This method leverages AI's strength in classification while minimizing the risk of mistakes, as the impact of an incorrect classification is minimal in this context.

3. Receipt and invoice capture for freelancers (Personal finance):

The issue: Receipts accumulate in your inbox, and tax time becomes a frantic search for documents. The solution: Filter receipt emails into a specific Gmail label. Use Zapier to send each one to an AI step that extracts the vendor, date, and amount. Save the attachment to a Google Drive folder and append a row to a Google Sheets expense log. Review the log once a week to stay on top of your finances. This workflow automates the tedious data entry, allowing you to focus on reviewing and organizing your expenses.