AIM kept its spreadsheet and gave AI the job of checking it.
If something important in your business runs through a spreadsheet you cannot afford to break, this is how AIM Recycling started.
Outcome: A quality-control layer meant to catch what people miss, added without disrupting a workflow the business relies on.
The challenge
A shared spreadsheet where one missed detail could cause real problems.
A spreadsheet several people touch runs a recurring workflow. The question was never whether AI could help, but how to bring it in without breaking what works.
The solution
AIM asked AI to review the work first, not take it over.
Instead of automating first, AIM asked AI to review the work: check, compare and flag. People stay in the driver's seat.
How it works
AI checks the data against known rules and flags what deserves a second look.
A simple quality-control prompt reviews the data against known rules, flags gaps and inconsistencies, and surfaces what deserves a second look. A person still decides.
The results
Nothing is replaced, and a person still decides what matters.
No spreadsheet replaced, no automation built. AI helps catch what people miss, without disrupting the workflow the business runs on.
What's next
AI earns its place through repeated, useful practice on the real work.
Next, the team compares AI's review against their own and decides when to trust it with more. A team member spotted this use on their own.
