Everyone contributes. The AI pulls it into one voice.
Your program lead has the stats, your ED reframes the ask, your board member adds the caveat. In Grantable they contribute in one shared workspace — comments, files, @mentions — and when the pieces are in, you ask the AI to work them into one voice.
"Three people are editing the same proposal. One is in Google Docs, one has a local Word copy, and one is making changes in the email thread. Nobody knows whose version is correct."
1. three drafts, three inboxes
proposal_v2_FINAL.docx
attached — Mar 14, 9:12 am
proposal_v2_FINAL (Sam's).docx
attached — Mar 14, 9:40 am
Sam's edits overwrote the budget paragraph
someone stitches it together at 11pm — usually you
2. everyone's piece, anchored in place
"1,200 families in 2024" — the stat, pinned to §2
reframed the ask — comment on the budget paragraph
approved ✓ — resolved thread on the final section
one shared workspace — comments and @mentions land on the exact passage, not in an email thread
3. then one voice
"work the team's comments into the draft — keep it in our voice"
the stat is in §2, the reframed ask leads the budget narrative, the caveat is footnoted — one writer, no seams
four roles keep it safe — admins manage, editors write, commenters weigh in, viewers read
The old way vs. the Grantable way.
You know the old workflow. Here's how it changes.
The version control nightmare
- 1
Email the draft
"Here's the latest version" — sent by three different people
- 2
Track changes in Word
Merge three sets of tracked changes — hope nothing conflicts
- 3
Contributions arrive as fragments
A stat in one email, a rewrite in another, an approval by text
- 4
Research in separate silos
Your colleague found a key funder detail but it's in their notes, not yours
- 5
Someone stitches it together
Usually you, the night before — smoothing three voices into one
- 6
Deadline panic
Consolidating everything at 11pm, hoping nothing got lost
Grantable team collaboration
- 1
One shared workspace
Documents, research, and files — everyone sees the same picture
- 2
Everyone adds their piece
A stat, a phrasing, an approval — as comments anchored right where they belong
- 3
Mention teammates in context
@ a colleague for review — the feedback stays pinned to the exact passage
- 4
Then the AI unifies the voice
Ask it to work the collected input into the draft — one writer, no seams
- 5
Four roles keep it safe
Admin, editor, commenter, viewer — everyone gets the right access
- 6
One version, no stitching night
The draft was whole all along
Related features
These work even better together.
Write together. Win together.
Every contribution lands in one workspace — and the AI helps it read like one writer.