Proposals and concept notes
Structuring a response to a call, adapting an existing proposal to a new donor's format, and drafting sections from your own past reports and evidence.
FuKazee delivers practical AI training for NGO, foundation and social-enterprise teams in Kenya and East Africa. Staff learn to draft proposals, donor reports and M&E summaries faster on free and low-cost tools, while a usage policy keeps beneficiary and donor data out of AI systems. Delivery is on-site in Nairobi, in the field, or online.
Development work runs on documents. Concept notes, full proposals, logframes, quarterly and annual donor reports, case studies, board papers, press releases, social posts, and the endless internal emails that hold a programme together. Most of that writing follows a structure, draws on material the organisation already has, and is currently produced by skilled staff who would rather be doing programme work.
FuKazee's NGO training is built on the same seven-module programme used with companies and institutions, then rebuilt around your sector: understanding what generative AI can and cannot do, prompt engineering on your real document types, verification habits, choosing tools you can afford and trust, redesigning workflows, and finishing with ethics, risk and a usage policy that protects the people you serve.
The aim is not that staff "use ChatGPT". It is that a programme officer can turn field notes into a first-draft report in an hour instead of an afternoon, and that the organisation has agreed where the line is.
These are the workflow areas NGO teams practise on during training, chosen because they are text-heavy, repetitive, and safe to redesign without exposing beneficiary data.
Structuring a response to a call, adapting an existing proposal to a new donor's format, and drafting sections from your own past reports and evidence.
Turning activity logs, indicator data and field notes into clear narrative reports, with every figure checked by the person who owns it.
Summarising survey and interview data, drafting indicator descriptions, and producing first-pass analysis that the M&E lead then interrogates.
Press releases, social content, newsletter copy and policy briefs produced faster, in the organisation's voice, and reviewed for accuracy before publication.
Mobile-friendly tools and short workflows so county and field staff can draft, translate and summarise on the devices and bandwidth they actually have.
Policies, job descriptions, meeting minutes, procurement documentation and budget narratives, drafted quickly and finalised by the people accountable for them.
NGOs hold some of the most sensitive data in the country: health status, survivor records, children's information, household income, refugee and legal status. None of it belongs in a public AI tool, and staff need to know that before they are shown what the tool can do.
For what a usage policy should contain, and why most rollouts fail without one, read AI usage policy for Kenyan organisations and why most corporate AI rollouts fail.
A short call with the sponsor, usually the executive director, programmes lead or HR, to agree teams, outcomes and data constraints.
Exercises are rebuilt around your donors' formats, your logframes and your document types, not generic business examples.
On-site in Nairobi, at a field location, online in short sessions for dispersed teams, or hybrid, over two to four weeks.
Teams keep prompt libraries and workflow templates for their recurring documents, plus a follow-up check-in after the next reporting cycle.
FuKazee's corporate and institutional work to date includes hands-on AI training for Bank of Africa Kenya and Savannah Tracking Limited, training at the University of Nairobi and for the US Embassy in Kenya, and an enablement engagement after which corporate client Inclusivity Solutions reported approximately 40% productivity improvement across African markets.
The same method, training on the organisation's real workflows with governance built in, is what the NGO programme is built on. Every named engagement, and the outcomes behind it, is listed on the corporate AI training page and the About page.
Onboarding FuKazee as a supplier? The vendor information page has company details and the invoicing process. Deciding whether to build capacity internally instead? Read in-house vs external AI training.
Tell us which teams you want trained and where they sit. You will hear back from the people who run the sessions.