Voice and Tone — Making AI Output Sound Like You

A proposal can be accurate, complete, and well-structured — and still not sound like your organization. Voice is the difference between a document that feels like yours and one that feels like it was generated. Reviewers may not consciously evaluate voice, but they feel the difference between authentic writing and assembled text.

The AI Voice Problem

AI has a default voice: competent, professional, slightly formal, and generic. It tends toward:

Passive constructions

'Services are provided to families' instead of 'We work with families.' AI defaults to passive voice, which sounds institutional and distances the reader from the work.

Abstract language

'The program facilitates positive outcomes' instead of 'Participants build skills they use in their first jobs.' AI reaches for abstractions where specifics would be stronger.

Filler phrases

'In order to,' 'it is important to note that,' 'as a result of this.' AI pads sentences with unnecessary phrases that add length without meaning.

Generic nonprofit language

'Empowering underserved communities through innovative programming.' This could describe any organization. If it could be anyone's proposal, it's not yours.

Hedging where confidence is appropriate

'The program may potentially result in improved outcomes.' If your data shows outcomes, say so directly.

The Voice Refinement Pass

After your draft is factually accurate and complete, do a voice pass — reading specifically for tone and authenticity:

Read it aloud

The fastest way to catch voice problems. If a sentence feels unnatural when spoken, it's probably AI-generic. Rewrite it as you'd explain the idea to a colleague.

Replace passive with active

Search for 'is provided,' 'are offered,' 'was conducted.' Replace with who does what: 'We provide,' 'Our team offers,' 'The evaluator conducted.'

Cut filler phrases

Delete 'in order to' (use 'to'), 'it should be noted that' (just state it), 'as a result of' (use 'because'). Every word should earn its place.

Add your specifics

Where AI used abstractions, insert your organization's actual details. Names, places, specific program elements. This is where the proposal becomes unmistakably yours.

Check your terminology

Are you using the words your organization actually uses? If you say 'participants' and the AI wrote 'beneficiaries,' fix it everywhere.

The One-Sentence Test

Read any sentence in your proposal. Could it appear in a different organization’s proposal without anyone noticing? If yes, it needs more of your voice. The most compelling proposals are the ones that could only have been written by your organization — because they contain your specifics, your data, and your perspective.

When AI Voice Is Actually Fine

Not every section needs a distinctive voice. Some content is appropriately standard:

Compliance sections. “The organization maintains a current 501(c)(3) determination letter” is fine as-is. Don’t inject personality into administrative language.
Data presentations. Tables, charts, and data summaries should be clear and factual. AI’s matter-of-fact tone works well here.
Standard attachments. Board lists, organizational charts, and financial summaries don’t need voice refinement.

The voice pass is most important for the narrative sections — needs, methods, evaluation, and organizational capacity — where your identity and credibility come through.

Pro tip

If your organization has a particularly strong voice (a charismatic ED, a distinctive communication style, a specific cultural identity), make sure AI drafts preserve it. Share examples of your best writing and explicitly name what makes it yours: “We use humor. We tell participant stories. We’re direct, not diplomatic.” AI can match a voice it understands.

In Grantable

In Grantable, voice refinement happens through the inline editing workflow. Select a paragraph that sounds generic, tell the AI “rewrite this in our voice — more direct, use active voice, include the specific program name,” and it revises in place. Over time, as you make these corrections, the AI learns your preferences and produces first drafts that need less and less voice refinement.

Check your understanding

AI drafts this sentence for your organizational capacity section: 'The organization has significant experience in the implementation of youth-serving programs and maintains a strong commitment to evidence-based practice.' What's the voice issue?

Key Takeaways

AI's default voice is generic: passive, abstract, padded with filler. A voice pass catches these patterns.
Read aloud, replace passive with active, cut filler phrases, add your specifics, check your terminology
The test: could this sentence appear in anyone else's proposal? If yes, it needs more of your voice.
Voice matters most in narrative sections. Compliance content and data presentations can stay standard.

Next Module

Your draft is written, edited, and voiced. The next module covers the final quality gate — compliance tracking, cross-referencing your proposal against the RFP, catching common AI writing mistakes, and the final review checklist before submission.