Finding Automation Opportunities
The best AI automations target tasks that are repetitive, time-consuming, rule-based, and error-prone when done manually. Before reaching for AI, audit your daily workflow: what do you do every day that follows a predictable pattern?
Quick Wins
Email triage: AI rules that categorize, summarize, and draft responses to routine emails. Meeting notes: AI meeting assistants that transcribe, summarize, and extract action items automatically.
Document summarization: AI that condenses long reports, articles, or threads into key points. Data entry: AI tools that extract structured data from unstructured sources (invoices, forms, emails).
Building More Complex Automations
Tools like Zapier, Make, and n8n now integrate AI steps into automation workflows. You can build chains like: receive email → AI extracts request details → creates task in project manager → drafts reply for review.
For code-savvy users, AI APIs combined with simple scripts can automate highly specific workflows. A Python script that uses the Claude API to process your daily RSS feeds and email you a summary, for example.
Start Small, Then Scale
Automate one task, measure the time saved, and iterate. Resist the urge to automate everything at once. Each automation should have clear success criteria and a human review step until you trust it fully.