Grant Writer
Writing narrative sections of proposals
What You Do Today
Craft the need statement, program description, goals and objectives, evaluation plan, and organizational capacity sections. Every word has to earn its place.
AI That Applies
AI generates first drafts from program data, past proposals, and funder guidelines. Ensures alignment with funder language and priorities, and checks for common weaknesses.
Technologies
How It Works
The system takes the content brief — topic, audience, constraints, and style guidelines — as its starting input. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — first drafts from program data — surfaces in the existing workflow where the practitioner can review and act on it. The compelling narrative is yours.
What Changes
First drafts come together faster. AI pulls in relevant data, past language that worked, and funder-specific framing to give you a strong starting point.
What Stays
The compelling narrative is yours. AI provides the scaffold — you provide the story that makes a reviewer care about your work.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for writing narrative sections of proposals, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long writing narrative sections of proposals takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your VP Operations or COO
“What content do we produce the most of that follows a repeatable structure?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“What's our current review and approval process, and would AI-generated first drafts change the bottleneck?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.