How do we reduce the time our team spends reviewing grant applications?

Review season is where small grant teams quietly burn out.

We have watched executives re-read two hundred long application forms, manually pull the key facts into a scoring sheet, and chase applicants for the one document they forgot to attach. All of this before any actual evaluation begins.

The valuable work, the human judgement about which projects deserve funding, gets squeezed into whatever time is left after the manual prep. And because everyone is tired by the time they reach the bottom of the pile, the last applications often get a thinner read than the first. That is not fair to anyone.

The biggest time sinks are remarkably consistent:

• Eligibility screening that could be automated at the form stage.
• The same facts being re-typed from the application into a review grid.
• No at-a-glance summary, so reviewers have to read every word to find the few things that matter.

The teams that fix this do two things. They push eligibility rules into the application form, so out-of-scope requests never reach a reviewer. And they let AI draft a structured summary of each application (the ask, the budget, the alignment) for the reviewer to check and build on.

The judgement stays entirely human. What disappears is the data-entry tax around it. If you are weighing up AI specifically, see how to screen and score applications with AI while keeping control.