From Spreadsheets to Automation: A Practical Guide

Every business has them — the "temporary" spreadsheet that's been running payroll for three years. The email chain that approves expenses. The manual data entry that someone does every Friday at 4 PM.

These aren't just annoyances. They're compounding costs. A 10-minute task done daily by a $50/hour employee costs the company over $2,000 per year. Scale that across a team of 20, and you're bleeding six figures annually on work a script could do in seconds.

How to Find Your Automation Targets

Walk through your week and ask three questions about every recurring task:

**Is the input structured?** If the data comes in a predictable format (form submissions, API responses, spreadsheet columns), it's automatable.
**Is the decision logic clear?** If you can write down the rules you follow ("if amount > $500, escalate to manager"), code can follow them.
**Is the output standardized?** If the end result is always an email, a database entry, or a report — automate it.

The 80/20 of Automation

Don't try to automate 100% of a process on day one. Automate the 80% that's repetitive and clear-cut. Let humans handle the 20% of edge cases. Over time, you codify those edge cases and gradually approach full automation.

A Real Example

One of our clients — a logistics company — had a 12-step freight documentation workflow. Four people spent 6 hours a day on data entry, validation, and ERP updates. We automated the core 10 steps with an AI pipeline that handles document extraction, cross-checks against their database, and submits to their ERP. The remaining 2 steps (dispute resolution) stay human. Result: 90% time reduction, $120K annual savings, zero layoffs — the team now handles exceptions and strategic work instead of data entry.

Start This Week

Pick one process. Write down every step. Identify which parts are rule-based vs. judgment-based. Then talk to someone who can build the automation. The first one is always the hardest — and the most valuable.