What is an AI quick scan?
An AI quick scan maps, department by department, where AI agents create value. Use cases are scored on impact and effort and placed in a matrix of quick wins, big bets, fillers and ideas you leave aside.
- Sort customer questions
- Match invoices
- Prepare quotes
- Draft contracts fully automatically
Explanation
A quick scan takes two to three weeks and runs in four steps:
- Conversations per department with a champion and a process owner: where does work pile up?
- Every idea on a fixed use case card: trigger, data, systems, desired result and owner.
- Scoring on impact and effort, with IT at the table so the effort is realistic.
- Plotting and choosing per department: the quick wins first, and one big bet in parallel.
We score impact on customer value, hours freed up, lower risk and fewer errors, and effect on revenue and costs. We score effort on access to data, integration with systems, process complexity and the change for people.
The outcome is a ranked longlist, one quick win and one big bet per department, and the first agent passports.
What it looks like in practice
At a logistics company the scan produces fourteen ideas. Sorting customer questions becomes the quick win for customer service, automatic route planning the big bet for operations.
