Automation ROI Lab: Prioritize AI Automations That Actually Pay Off

Feeling overwhelmed by automation options and unsure which AI workflows will actually pay you back? Marcus and Sofia lead a concise, tactical session that turns vague tool hype into a simple experiment-driven process. You’ll get a repeatable ROI lab: how to benchmark time and cost, craft quick prompts that estimate savings, run lightweight A/B automations, compare tool stacks (Zapier, Make, n8n; OpenAI vs Claude; Airtable vs Google Sheets), and calculate break-even and uplift. We include specific example prompts, before/after case studies (e.g., invoicing: 8 hrs/week → 30 min/week), and an ethical checklist to avoid automation pitfalls. By the end you’ll know which two automations to build this week, how to validate them with measurable metrics, and how to scale responsibly without burning out.