You sent the questionnaires. You did the hard part.

Except... you didn't. Because now you're staring at hundreds of rows of open-ended answers about circularity strategies, water commitments, and Net Zero roadmaps — and someone has to actually read all of that.

This is the quiet productivity trap that most sustainability professionals never talk about. We've built entire frameworks (CSRD, SBTi, ESRS) that depend on supplier data, but the actual analysis still runs on manual effort, inconsistent judgment, and weekend hours.

Here's the uncomfortable truth: working harder on this is not the answer. Reading faster isn't a strategy. Neither is hoping your suppliers give shorter answers next time.

The professionals pulling ahead right now aren't doing more. They're rethinking where their attention actually belongs and letting tools handle what tools do better.

And as I always say, it is really not about fancy tools nor about the AI hype here. IT is about empowering sustainability professional on how they can use AI at work.

This week's video shows exactly that in action. I walk through a real supplier sustainability workflow inside Excel, using the Claude add-in to read the responses, benchmark the answers, and generate a meaningful scorecard. No coding. No new platforms. No IT department.

If your Scope 3 reporting depends on supplier input and you're still doing this by hand, this one's for you.