Grant Resource Studio™
A practical guide to using AI for grant applications. From your first draft to a reusable system. Free, for charities, CICs and community organisations.
Why this exists
What is your organisation? Who do you support? What difference does your work make? Why now? These questions appear in almost every grant application. And most small charities, CICs and community organisations answer them again from memory each time, in slightly different ways, under time pressure.
AI tools like ChatGPT and Claude can help. But they only produce strong, specific output when they have real knowledge to work from. Without it, the text is fluent but generic - and you end up editing heavily anyway.
This guide shows you how to build up from scratch: starting with a free tool that asks you the right questions, then moving to something you own and can reuse, and finally pointing to what a fully structured system looks like.
Level 1 - Try it now
The Charity Excellence Framework offers a free AI bid-writing tool - the AI Bunny - that works well as a starting point. You register, answer a structured set of questions about your organisation and the project you need funding for, and it produces a draft application of up to 1,000 words.
The questions it asks are a useful prompt in themselves. Thinking through your answers carefully - even before touching AI - is already most of the work.
When this is the right starting point: you want to try AI grant writing without any setup or cost, or you want to test what your answers sound like before going further.
Its one limitation: the AI Bunny has no memory of your organisation. Every time you use it, you start from scratch. The answers you write this time cannot be drawn on next time - which means the work of gathering your information is repeated with every application.
Level 2 - Make it reusable
The step up from Level 1 is straightforward in concept: instead of answering the same questions every time, you write them down once, store them where your AI can see them, and draw on them for each new application. Your knowledge builds up rather than starting over.
You need an AI tool that supports a persistent "Project" or "Gem" - a space where your knowledge document stays available across every conversation, so you are not re-uploading it each time. The good news: for a single document like the one in Level 2, the free tiers of several major tools now work reasonably well.
Where free tiers start to hit a wall is when you want to store many files across multiple modules - which matters more for a full Funding Knowledge Base (Level 3) than for the single-document approach here. For now, any of the above will get you started.
Before storing anything, turn off training data sharing. In ChatGPT: Settings → Data controls → turn off "Improve the model for everyone." Gemini and Claude have equivalent settings. This means your content is not used to train the AI.
Never enter:
Safe to enter:
Create a Project in your chosen AI tool and upload a plain text knowledge document. Use the Charity Excellence question set as your framework - the same four sections their AI Bid Writer uses. Open each section below to see the questions and guidance to follow.
Aim for at least 50 words per answer. Use plain paragraphs and avoid heavy formatting like bullet points. Write what is true and evidenced, not what sounds impressive.
A pre-formatted template is ready to download - all four sections already structured with every question, ready for you to fill in and upload to your AI Project.
Download the knowledge document templateThese four content areas are the sections of the knowledge document. Open each one to see what to include.
The funder probably knows nothing about you. Tell them about your charity, what you do and how. Avoid jargon or acronyms they may not understand.
You can reuse most of these answers across future bids - write them well once and adapt, not rewrite.
This is the core of any application. It is not about what you want - it is about what the funder wants and what your beneficiaries need.
For project-specific questions (dates, partners, particular outcomes), write a version for your current project. For the need and urgency, write something that can be reused and updated over time.
Funders want to know what they will be paying for and that your budget is reasonable. Be clear and proportionate.
Never enter bank details, account numbers or payment information in any AI tool. Budget totals and narrative descriptions are safe.
These are the details that move a competent application to a compelling one. Build this section up over time as you gather evidence and feedback.
For quotes, use role titles or "anonymous" - never include full names or any identifying details about the people you support.
The AI does not automatically read your knowledge document when you open a new conversation - even inside a Project. Follow these three steps in order at the start of every drafting session.
First - load your document into context
Replace [name of your file] with the filename you used. If you downloaded the template here, it will be: Grant Knowledge Document Template.txt
Then - share all the application questions at once
Once the AI confirms it has read your document, paste in the full list of questions from the application form - all of them, in one message. This lets the AI see the complete picture before drafting anything, so it can plan how to distribute information across answers without repeating itself in each one.
Finally - set the rules for how it works through them
This produces a back-and-forth rather than a single dump of all answers. Each answer gets a targeted exchange - the AI surfaces what it needs, you supply it, and the draft is built on real information rather than plausible filler.
First drafts will still need work. The AI will identify gaps; you supply them; the draft improves. When you add new information to answer the AI's questions, add it back to your knowledge document too. Each application, your document gets richer. Each subsequent draft, less iteration is needed.
Level 2 is a meaningful improvement over Level 1. You are no longer answering the same questions from scratch every time. The AI is drawing on real organisational knowledge, and each application builds on the last rather than disappearing. For organisations with the confidence to set it up and maintain it, this is already a significant shift in how grant work feels.
If any of this feels like more of a lift than your team can manage right now, that is not a failure of the approach. It is a reasonable point at which to get some guidance. A short conversation can help you decide the right next step →
Level 3 - A complete system
The difference between Level 2 and Level 3 is not about which tool you use to store things. Whether that is a Project folder, Notion, or something else is a practical choice, not the point. The difference is the data model: the architecture of what you store, how it is structured, and what an orchestration layer can do with it.
Building a Funding Knowledge Base is a guided process that takes time, effort and expertise. It is not a solo afternoon task. The good news is that most of the raw material already exists inside your organisation: past applications, monitoring reports, evaluation data, impact case studies, funder correspondence. The build is not about creating content from scratch - it is about structuring what you already have into a form the AI can use precisely and repeatedly.
This is what Grant Resource Studio™ builds and maintains with organisations as a guided engagement. A Funding Knowledge Base is not a bigger document - it is a structured architecture of distinct, purpose-built modules, each with a specific job, maintained separately, and usable independently or in combination. Open any section below to go deeper.
These modules are held together by an orchestration layer - a set of rules that tells the AI which modules to load for which funder and application type, how to weight them, what the funder prioritises, and how to adapt your voice and evidence to their specific programme. It also gives the AI two operational modes: a fast first-draft mode for lower-stakes applications, and a deeper mode for strategic bids where it reviews modules carefully and asks clarifying questions before drafting.
Why the "ask me questions first" prompt becomes largely unnecessary at Level 3. In Level 2, that instruction is essential because gaps are common in a flat document. In Level 3, those gaps are filled by design. The orchestration layer already knows what a specific application needs and which modules provide it. When the AI does ask for more, it signals the knowledge base needs updating - not that you need to provide more context in the moment.
The Theory of Change and Case for Support are the two components that make the biggest difference to output quality, and the two that take real time, expertise and iteration to develop well. A flat document typically lacks both, or contains thin versions. Getting them right - with the right evidence, the right logic and the right voice - is most of the work of a guided build. Historical applications and funder intelligence then layer on top, turning the system from a strong knowledge base into one that learns and compounds with every application submitted.
The guided build draws on everything the organisation already has: past bids that worked, monitoring data sitting in spreadsheets, evaluations written for funders, strong passages from old applications. None of that is wasted. It gets structured, approved and made reusable rather than left scattered. That is what makes the process less painful than it might sound - and what distinguishes it from starting from scratch.
If you have been working at Level 2 and starting to feel its limits - the repetition that remains, the gaps the AI keeps surfacing, the sense that your knowledge is there but not quite organised enough - a complete Funding Knowledge Base is the natural next step. The raw material is already in your organisation, and nothing you have already written at Level 2 is wasted.
See the output difference concretely - the same funder question answered from memory, pieced together by hand, and from a structured Funding Knowledge Base:
See the difference for yourself →
And what it produced for Early Years Cocoon - a CIC in Barking and Dagenham - in the 18 months since their Funding Knowledge Base went live:
If you would like to find out what a full Grant Readiness engagement involves - or just to talk through where your organisation is with its grant knowledge - book a free discovery call.
A free resource from Grant Resource Studio™. Built for charities, CICs and community organisations in the UK.