Replace 40 hours/month of operational waste with systems that ship.

Problem: Agüita, a one-person business in Tenerife, was paying around $2,200/month for a marketing assistant whose job was mostly pulling GA4 numbers into a weekly slide. 40 hours a month on a report nobody read carefully.

System: Make scenario pulls GA4 dimensions on schedule → writes to a Google Sheet master → weekly digest emailed every Monday 7am. Error alerts to Slack on failure.

Result: $2,200/month recovered. 40 hours/month of manual reporting gone. Runs unattended since launch.

Problem: A team inside TIM ($16B revenue, 2024) was burning 15 hours a week on the same data-crunch: pulling, cleaning, reconciling, exporting. Manual every Monday.

System: Scheduled Bash cron → Python scripts pull from source systems → clean, reconcile, validate → write outputs in the same downstream format. Logs to disk. Failure alerts before anyone notices.

Result: 15 hours/week removed. ~60 hours/month of senior analyst time recovered. Monday bottleneck eliminated.

Problem: B2B SaaS team, Series A, ~25 people, US-based. NDA, so no logo. Inbound leads sat in a shared inbox for 2 hours on average before anyone replied. 1-3 hot leads per week were ghosting because the rep on rotation was on a call, in a flight, or just buried. Pipeline was leaking and nobody could point at where.

System: Webhook from the form fires into a Make scenario. Clearbit enrichment runs first, so the rep sees company size and stack before they open Slack. Routing logic picks the assigned rep by territory, drops a DM with the enriched payload, and creates the HubSpot deal in parallel. Auto-acknowledge reply goes to the lead inside 60 seconds. Rep takes the human conversation from there.

Result: Average response time: under 5 minutes. Zero late-stage leads dropped in the first 60 days post-deploy. The 1-3 inbound/week that used to ghost now get an acknowledgement before the rep even sees the Slack ping. No revenue number here. NDA, and I don't invent dollar figures.