Pertama Partners

AI-Assisted Grant Writing and Proposal Development

Streamline grant writing and proposal development using AI to draft compelling narratives, structure needs assessments, build budget justifications, and create logic models. Designed for ASEAN foundations, CSR-funded programmes, and regional development organisations seeking to increase grant success rates.

Non-profitIntermediatePrompt Engineering for Business3-6 weeks

Transformation

Before & After AI

What this workflow looks like before and after transformation

Before

Grant proposals drafted from scratch each cycle, taking 40-60 hours per submission. Needs assessments rely on anecdotal evidence rather than structured data. Budget justifications lack clarity, leading to funder pushback. Logic models are inconsistent across programmes. Win rates hover around 15-25% with no systematic improvement process.

After

AI-assisted drafting reduces proposal time to 15-25 hours per submission. Needs assessments incorporate structured community data and regional benchmarks. Budget narratives are clear, consistent, and aligned with funder priorities. Logic models follow standard frameworks (OECD DAC, Results-Based Management). Win rates improve to 30-40% through better narrative quality and alignment.

Implementation

Step-by-Step Guide

Follow these steps to implement this AI workflow

1

Build a Grant Needs Assessment with AI

1-2 weeks

Use AI to structure community needs assessments by synthesising programme data, beneficiary feedback, and regional development indicators. Generate evidence-based problem statements that align with funder priorities and ASEAN development goals.

Draft a grant needs assessment
You are a grant writer for [ORGANISATION NAME]. Using the following programme data and beneficiary feedback, draft a needs assessment section for a grant proposal targeting [FUNDER NAME]. Focus on [THEMATIC AREA] in [COUNTRY/REGION]. Include statistics, community voices, and alignment with funder priorities.
Works best with any large language model. Paste actual programme data for the most relevant output.
2

Draft Grant Narrative and Programme Design

1-2 weeks

Use AI to draft the core narrative sections of the proposal, including programme objectives, activities, expected results, and sustainability plans. Ensure alignment between the needs assessment, proposed intervention, and measurable outcomes.

Generate a grant programme narrative
You are a grant writer for [ORGANISATION NAME]. Draft the programme design section for a [GRANT AMOUNT] proposal to [FUNDER NAME]. The programme addresses [PROBLEM] through [APPROACH] over [DURATION]. Include objectives, key activities, target beneficiaries, and sustainability plan.
Provide as much context about your actual programme as possible. Review AI output against funder guidelines before submission.
3

Create Budget Justifications and Financial Narratives

1 week

Use AI to generate clear budget justifications that explain cost allocations, demonstrate cost-effectiveness, and align spending with programme activities. Build financial narratives that satisfy funder due diligence requirements.

Write budget justification narratives
You are a grants finance specialist. Write budget justification narratives for each line item in this [GRANT AMOUNT] proposal to [FUNDER NAME]. The programme runs for [DURATION] in [COUNTRY]. Explain why each cost is necessary, reasonable, and aligned with programme activities. Budget: [PASTE BUDGET LINE ITEMS].
Always verify unit costs against local market rates. AI estimates may not reflect current pricing in your specific location.
4

Build Logic Models and Results Frameworks

1 week

Use AI to create structured logic models and results frameworks that clearly map inputs, activities, outputs, outcomes, and long-term impact. Align with common funder frameworks such as OECD DAC criteria and Results-Based Management.

Generate a programme logic model
You are a monitoring and evaluation specialist. Create a logic model for a [PROGRAMME NAME] implemented by [ORGANISATION] in [COUNTRY]. The programme aims to [GOAL] through [KEY ACTIVITIES]. Include inputs, activities, outputs, outcomes, and long-term impact. Align with [FRAMEWORK, e.g., OECD DAC, Results-Based Management].
Customise the framework to match your funder requirements. Most ASEAN development funders accept OECD DAC or Results-Based Management formats.

Get the detailed version - 2x more context, variable explanations, and follow-up prompts

Tools Required

AI language model for drafting and editing (any provider)Spreadsheet tool for budget templates and calculationsDocument collaboration platform for team review and version controlReference database for regional development statistics and funder guidelines

Expected Outcomes

Reduce grant proposal drafting time from 40-60 hours to 15-25 hours per submission

Improve grant win rates from 15-25% to 30-40% through stronger narrative quality

Produce consistent, framework-aligned logic models across all programme proposals

Solutions

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Common Questions

No. AI is most effective as a drafting assistant, not a replacement for programme expertise. It can structure narratives, suggest phrasing, and ensure consistency, but it cannot replace your knowledge of the community, relationships with funders, or understanding of local context. Always review and refine AI-generated drafts with your programme team before submission.

Most funders evaluate proposals on quality, relevance, and alignment with their priorities, not on how the text was produced. However, AI-generated content that sounds generic or lacks specific local context will score poorly. The key is to use AI for structure and first drafts, then layer in your organisation-specific data, community insights, and programme expertise.

Never paste personally identifiable information (names, addresses, health records) into public AI tools. Use anonymised or aggregated data in prompts. For sensitive programmes (gender-based violence, refugee services), use summary statistics rather than individual stories. Consider enterprise AI tools with data processing agreements if your organisation handles large volumes of sensitive data.

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