Writing a grant proposal is never easy. It takes time, research, planning, and a good understanding of the needs of the community as well as the expectations of the funder. From the project summary to the budget, every part of a proposal needs careful planning and accurate information. For many NGOs, it can take several days or even weeks to create a strong proposal, especially when different team members are involved.
Today, many organizations’ approach to proposal writing is changing with artificial intelligence (AI). AI tools can assist with generating content, organizing ideas, improving writing, and speeding up the overall process. This has led many NGOs to ask the same question: Should AI replace traditional proposal writing, or should the two work together?
One thing is clear from recent conversations across the nonprofit sector. Artificial intelligence is a useful tool, but it is most effective when coupled with human knowledge and experience. AI can accelerate the writing process, but the biggest role people have to play is to create accurate, meaningful,l and connected to the communities they serve.
Traditional Proposal Writing
The traditional way to write proposals is to put people first. Teams will seek funding, collect project data, consult the community, develop budgets, write different sections, and proofread them all before submitting the application.
It takes time, but it also enables organizations to develop proposals that truly reflect their work and impact.
Pros
Traditional proposals come with several benefits:
Funder awareness. Understanding the community intimately. Deep understanding and insight gained from hands-on experience. Proposals focused on what the funder actually wants and is willing to fund. Excellent and inspiring stories, rooted in the experiences and facts of the local context. Focused, strategic thinking and thoughtful process.
People have an opportunity to include things an AI could never possibly know, things like what they learned from the last time they did that exact type of work, the on-the-ground reality in the local community, and the perspectives of those people they work with.
Cons
And then, of course, there are the challenges:
Traditional proposal writing is time-consuming. Experts with a lot of proposal experience aren’t always readily available. Numerous rounds of editing usually occur.
Short deadlines add to the already stressful workload for small teams.
There’s a limit to how many grants you can apply for simultaneously before getting too stretched. For the teams that I’ve seen with only a few staff members and few dollars, many important funding opportunities simply get missed.
AI-Assisted Proposal Writing
Proposals are now much quicker and simpler thanks to AI. There is no longer a blank page in front of teams as an AI tool can now quickly produce a first, organized draft. Many NGOs, particularly non-governmental organisations, use AI tools now for brainstorming, editing, summarizing documents, creating an outline, or producing a first draft of the proposal.
The aim is for teams to eliminate the hours spent on writing each sentence, focusing instead on writing and adapting what the tool generates.
First, the AI draft should always be checked to make sure the information is not only relevant but also the right information for the team to make good decisions.
What AI Does Best
AI is especially useful for tasks that normally take a lot of time.
It can help with:
- Creating a first draft
- Improving grammar and readability
- Organizing proposal sections
- Summarizing reports and research
- Suggesting clearer wording
- Reducing repetitive writing tasks
- Saving time during the drafting process
By handling these routine tasks, AI allows proposal teams to spend more time strengthening their ideas and less time worrying about formatting or wording.
Why Human Expertise Still Matters
No matter how much it can do, AI can’t make up for real human experience. AI doesn’t know your community, your relationships with local stakeholders, the real-world struggle your organisation has already undergone. And AI can’t always capture the nuances that give a proposal’s personal touch real power.
The following still depend on human beings: Identifying local needs and priorities.
Establishing rapport with donors and stakeholders in the community. Providing real, factual project information. Telling real stories with project impacts. Showing your organisation’s history and credibility.
Making critical decisions throughout the process.
These are the skills and experience many funders want to see.
Finding the Right Balance
But rather than having to pick a side between AI and a traditional proposal writer, a lot of NGOs are discovering a happy medium.
By leveraging AI to handle routine processes, you can get an AI draft of your proposal generated really fast and kick your proposal process into gear immediately. The human members of your staff can then get to work refining the text of your proposal, adding context, punching up the language, and ensuring your proposals stay on brand. This kind of approach can also save you time on writing while ensuring your proposals maintain quality and you still get time to spend on partner management, project planning, and innovation.
Final Thoughts
AI isn’t rewriting grant proposal needs. It’s transforming the proposal process. Today, donors are just as eager to fund proposals that clearly outline: Clear goals, measurable results, realistic budgets, solid evidence, real community insight they care about: practicality, planning,ning and experience.
As for AI’s impact on grant writing. Sure, it’ll help you get your proposal written a little more quickly.
But it can’t replace local knowledge, human expertise or community connections.
