On any grant detail page, the AI Grant Writing tab uses Anthropic Claude to draft proposal sections grounded in your actual CRM data.
What it can write
- Problem statement — the issue your program addresses, with statistics from your data.
- Methodology — your program's approach, drawing from program records.
- Outcomes/Impact — beneficiary counts, outcome metrics, impact stories from past program records.
- Budget justification — your historical program costs converted to a proposal-friendly narrative.
- Organizational capacity — your team, history, and prior grants.
How it works
You provide:
- The funder name and grant amount.
- The program(s) this grant funds (link to Program records in Tormano).
- The funder's specific priorities or guidelines (paste them in).
Claude reads your linked Program records (description, beneficiary counts, outcome metrics, historical impact stories) and your organization profile, then drafts the requested section(s).
Output and editing
Output appears as plain text you can copy out, or as a structured document you edit inline. Re-prompt with "make it more concise" or "emphasize equity outcomes" to refine.
What it will not do
- Invent statistics that aren't in your data.
- Cite sources outside your CRM.
- Replace your judgment — every output needs human review before submission.