AI tools for research grant writing, built for an institution, draft proposal sections from the researcher’s own papers, prior proposals and notes, structured to the funder’s template, and check the result against the call’s rules: page limits, mandatory sections, eligibility, budget categories and evaluation criteria. The researcher writes the idea and owns every word submitted; the research office gets consistent compliance checks across every application.
This matters because funder policies are converging on the same point: applicants are responsible for their proposals, must not breach confidentiality, and in some cases must disclose AI use. A system that drafts from the applicant’s own work, logs how AI was used and runs on institutional infrastructure fits that much better than a public chat tool.