Clients include the US Embassy in Kenya and Savannah Tracking.
Some of the organisations we've trained and worked with
It replaces random, one-off chatbot use with a few structured, secure workflows your teams repeat every week. Staff learn to draft reports, speed up market research and handle customer communication with AI, and to check the output before it leaves their desk. That's where the time comes back.
Most senior decision-makers believe AI will change their industry. What's usually missing is a plan their teams can follow.
Plenty of organisations know they should act. Most still have no practical way to adopt AI, govern it and train people on it.
Once staff can prompt well and redesign a workflow, the repetitive writing, research and reporting shrinks a lot.
The groundwork for adopting AI responsibly across your organisation.
What AI actually is, how large language models work, where they're strong, where they fail, and what responsible use looks like at work.
Leaders and staff share one vocabulary for judging AI ideas sensibly.
Role prompts, few-shot examples and clearer instructions for better output.
Staff learn to write prompts that are clear, carry the right context and can be reused for reports, emails, research and documentation.
Less guesswork, and output your teams can rely on.
Token awareness, output checks and prompt libraries that keep quality high.
Repeatable prompt patterns, how to check output, and how to build an internal prompt library so nobody starts from a blank box.
Quality stays consistent across the team instead of depending on who happens to be good at it.
Hands-on with ChatGPT, Gemini, Claude, Perplexity, Copilot and others.
We run one scenario through several tools so staff see the strengths, the trade-offs, the privacy questions and the fit for themselves.
Teams judge each new tool on evidence and stop treating it as magic.
A way to choose tools without falling for vendor hype or lock-in.
Use-case fit, governance, side-by-side comparison, and the questions decision-makers should ask before adopting another AI platform.
Better tool decisions, less waste, and internal champions who can defend their choices.
AI for reports, communication, research, document analysis and workflow redesign.
We show your teams how agent-style workflows and structured prompts cut repetitive work while improving quality and turnaround time.
Real productivity gains without rebuilding your software.
Data leakage, hallucinations, bias, prompt injection and policy design for real organisations.
We take the risks head on and help leadership work out governance, internal guardrails and safe adoption.
Safer use of AI, and clear internal rules leadership is comfortable signing off.
Judge AI investments and vendor promises properly, and put governance in place you can stand behind.
Find the processes that are ready for AI, clear the bottlenecks, and show clearer productivity gains across your teams.
Hand the repetitive writing to AI: internal memos, SOP drafts, minutes and documentation.
Use AI for analysis, research and modelling support, with review steps that keep your rigour intact.
Get to campaign ideas, copy, reports and audience insight faster, at the same quality.
Assess AI tools critically and design workflows that fit the systems you already run.
Use AI for research, contract review and policy analysis while keeping a close eye on risk and governance.
Support recruitment, staff engagement and learning design, and plan your own internal AI upskilling.
Credit, compliance, customer letters and operations, inside data-protection and CBK-conscious guardrails.
02Proposals, donor reports, M&E summaries and field teams, with beneficiary data kept out of AI tools.
03Policy briefs, public communication, records and reporting for ministries, counties and agencies. Includes the US Embassy in Kenya.
04Staff training for teaching, research support and administration, with an institutional AI policy built in. Includes the University of Nairobi.
05Technical documents, research, tenders and reporting for engineering, R&D, transport and logistics teams.
Live exercises built on workplace scenarios, so people leave able to do the work they practised.
We shape each programme around your operations, your terminology and the work your teams do every day.
We don't sell software. We help your teams compare the tools out there and use the right one responsibly.
Prompt libraries, AI policy thinking, workflow templates and follow-up support keep the work going after we leave.
We start with your priorities, adapt the content, deliver in the format that suits you, and leave your teams with material they'll keep using.
We sit down with leadership or the sponsor to understand your priorities, your constraints and what your teams keep asking.
We adapt the modules, exercises and examples to how your organisation actually works.
On-site, across branches, online or hybrid. Whichever suits your organisation.
Participants keep reusable prompt libraries, AI policy guidance and recordings, and we check in with you afterwards.
Six quick questions about your sector, team and goals. You'll see a recommended programme, format and next step straight away, and the people who run the sessions follow up with you personally.
No commitment and no sales pitch. Tell us about your team, and we'll tell you honestly what kind of training would help.
Opens a chat with your enquiry already typed out. Add a line about your team and send.
Talk on WhatsAppBetter if you need to send detail, copy colleagues in, or start a formal internal process.
Email usRather talk it through? Call about timelines, format and which teams you want trained.
Call +254 114 469 840Short answers to what sponsors and leadership teams ask us first.
FuKazee Limited, based in Westlands, Nairobi, trains Kenyan teams to use AI in their daily work. Since 2022 it has trained more than 3,000 people, including teams at Savannah Tracking, A.O. Bayusuf and Vicentia East Africa. It is rated 4.9 on Google.
It is hands-on and tool-agnostic. Every session uses the client's own work, shows the free version of each tool, covers Microsoft 365 Copilot alongside ChatGPT and Gemini, and starts from the assumption that nobody in the room knows AI yet.
The full 7-module programme usually runs over 2 to 4 weeks, depending on your schedule. Any single module can also run as a standalone workshop.
Both. Some organisations start with awareness training for everyone, then go deeper with specific functions such as HR, operations, finance, communications or IT.
Yes. We deliver on-site, across branches, online or hybrid, depending on how big your teams are and where they sit.
Pricing is customised, because scope, duration and delivery format differ from one organisation to the next. Get in touch and we'll put together a tailored quote.
The model works across banking, insurance, telecoms, manufacturing, NGOs, professional services, universities and government-facing work.
Yes. We don't need your real sensitive data to run a good session. Module 7 also covers data protection, internal guardrails and safe-use policies for organisations.
Participants leave with prompt libraries, workflow ideas, recordings where relevant, AI policy thinking, and a much clearer sense of where AI fits in their day-to-day work.
If you know your organisation needs AI skills but aren't sure where to start, we'll help you find a first step that's practical and safe.
