Use Case: Six Teams That Replaced Repetitive Work
Six real teams that swapped recurring work for production agents.
Six AI agents, six teams, one pattern that works
Agents don't replace people — they replace specific repetitive workflows. Here's what worked across HR, sales, ops, finance, support and IT.
The challenge
Every team had its 'tax': repetitive triage, status updates, data hand-offs. Most attempts at automation failed because they tried to automate too much, too soon.
The approach
Each team picked ONE narrow workflow. Defined trigger → action → human checkpoint. Built a small agent (n8n / Zapier / custom) and ran it for 4 weeks before scaling.
The result
Average team reclaimed 6.4 hrs/week. Failure rate of agent runs <3% across all teams. Two teams have since built a second agent on the same template.
What you can take away
An agent that does ONE thing reliably beats a 'smart assistant' that does ten things badly. Start narrow, prove it, then expand.
Inspired? You can either dig deeper, or apply it to your own work right now.