Carbon Footprint: Automation.

Right now, you probably spend hours each month pulling data from different places (utility bills, supplier emails, expense reports). Instead, create a simple system where data flows in on a schedule, and you spend time analyzing it, not gathering it.

Manually collecting emissions data every month is time-consuming and error-prone. AI can help you set up a repeatable process so data collection becomes automatic and consistent.

1. 1

   Map your current data collection process

   • Write down: How do you currently get emissions data each month?
   • Who sends it to you? (CFO, facilities team, suppliers)
   • In what format? (email, spreadsheet, portal)
   • How long does it take?
   • What mistakes happen most often?
2. 2

   Identify the most time-consuming steps

   • Which sources take the longest to track down? (e.g., "I have to email 10 suppliers every month")
   • Which require the most manual data entry?
   • Which are easiest to forget or miss?
   • Rank these by time saved if you automated them
3. 3

   Create a simple data collection template

   • Ask AI to design a Google Sheet or form for your team to fill out
   • Include fields for: data source name, value, date range, unit (kWh, kg, liters, etc.)
   • Make it simple enough that a non-expert can fill it out
   • Save this template—you'll use it every month
4. 4

   Set up a recurring system

   • Ask AI to help you create a monthly checklist of who to contact and what data to request
   • Add calendar reminders for key dates (e.g., "Request July utility bills by Aug 5")
   • Decide: Will you email a template to teams, or use a shared form?
   • Test with one data source first (e.g., just utilities for one month)
5. 5

   Document and refine

   • After the first month, note: What worked? What was confusing?
   • Ask AI to improve your template based on feedback
   • Once it works smoothly, expand to other data sources
   • Aim to reduce manual data collection time by 50%

Adapt to your actual files and context before using.

I need to collect carbon/energy data from my team every month. The data includes:
- Electricity usage (in kWh)
- Gas usage (in therms)
- Business travel miles (car and flights)
- Waste generated (in tons) Each person submitting should fill it out for their department. Create a simple Google Sheets template that's easy to understand. Make it beginner-friendly—assume people don't know much about carbon.

I collect emissions data from these sources each month:
- Utility company (electricity, gas)—I get monthly invoices by the 5th
- Supplier questionnaires—I send to 8 suppliers, get responses slowly
- Travel expense system—pulled from our accounting software
- Waste management—they email monthly reports Create a checklist I can use every month. Include: who to contact, when, what to ask for, where to save files. Make it a task list I can follow.

I want to automate collecting emissions data. Right now I:
- Email 5 suppliers each month asking for carbon data (they reply with PDFs or emails)
- Manually copy utility bill data into a spreadsheet
- Extract business travel from our accounting software
- Download waste reports from an online portal What's the simplest way to automate this? Should I use Zapier, Google Forms, or something else? Walk me through the steps.

- Task 1: Map current process → Date completed: ___
- Task 2: Identify slow steps → Time wasted monthly: ___ hours
- Task 3: Design template → Draft ready: ___
- Task 4: Test with one source → Date tested: ___
- Task 5: Full rollout → Date implemented: ___
- Time saved: Before ___ hours/month → After ___ hours/month