4 min

Your Automation

Build a Custom Workflow

From Exercises to Real Workflows

You've built email triage, document processing, and Slack alerts. Now it's time to combine these patterns into a custom automation for your own use case.

The best automation isn't the most complex one. It's the one that saves you time every single day.

Designing Your Workflow

Start with the task audit from Module 1. Pick the task with the highest automation ROI (frequency x time x error cost) and design a workflow:

Define the trigger — What event starts this workflow? Be specific.

Map the actions — What AI processing steps are needed? (Classify, extract, summarize, route, draft)

Define the output — What does the human see at the end? (Alert, summary, draft, structured data)

Add error handling — What happens when something fails? (Retry, fallback, alert)

Common Custom Workflows

Here are patterns that combine what you've learned:

Meeting Follow-Up Automation

TRIGGER: Meeting notes uploaded
  → Extract action items and owners
  → Draft follow-up email to attendees
  → Create tasks in project tracker
  → Schedule reminder for deadlines

Customer Health Monitor

TRIGGER: Daily schedule (9am)
  → Scan support tickets from last 24 hours
  → Group by customer account
  → Score customer health (ticket volume, severity, response time)
  → Alert account owners for at-risk customers
  → Generate weekly trend report

Expense Report Pipeline

TRIGGER: Expense report submitted
  → Extract line items, totals, categories
  → Validate against policy (per-diem limits, approved vendors)
  → Flag policy violations for reviewer
  → Auto-approve compliant reports under $500
  → Route flagged reports to manager

Combining Triggers, AI Processing, and Actions

The most powerful automations chain multiple AI steps:

Step	Input	AI Processing	Output
1	Raw event	Classify type + urgency	Category + priority
2	Classified event	Extract key fields	Structured data
3	Structured data	Enrich with context	Contextualized record
4	Enriched record	Generate summary/draft	Human-readable output
5	Output	Route to right destination	Alert, email, or task

Each step uses a focused prompt. Don't ask one prompt to do everything — chain specialized steps for better accuracy.

Testing Your Automation

Before going live, test with the synthetic data:

Run your workflow against the pre-seeded emails, tickets, and documents

Check classification accuracy (manually verify 20 random results)

Verify routing goes to the right channels

Confirm error handling works (what happens with malformed input?)

Time the full workflow (should complete in seconds, not minutes)

Monitoring and Improving

Once your automation is running:

Track volume — How many events processed per day?

Track accuracy — Sample 10 results weekly, verify correctness

Track savings — How many minutes/hours saved per week?

Collect feedback — Are the summaries useful? Are alerts going to the right people?

Iterate — Adjust prompts, routing rules, and thresholds based on real results

What You've Built

By completing this course, you now have:

A framework for identifying what to automate (ROI thinking)

Event-driven workflow design skills (triggers + actions)

Working email triage with classification and routing

Document processing with extraction and summarization

Smart Slack alerts with context and routing

A custom automation for your own use case

These patterns scale. The same trigger-action framework that triages 200 emails works for 20,000. The same classification approach that sorts support tickets works for legal documents, sales inquiries, or internal requests. You've learned the building blocks — now combine them to automate anything.

This is chapter 6 of AI Automation Without Code.

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Ch. 5: Slack Alerts