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TL;DR: - A generic RFP produces generic-looking proposals that reveal little about which provider will actually change how staff work. - Ask providers what they need from you before pricing, whether content genuinely differs by role, and how they handle data privacy explicitly. - Ask what happens after the workshop ends. Follow-up support is what separates a provider selling an event from one building a capability. - Ask for evidence of what changed for past clients, not just a list of client logos.
Ask what the provider needs from you before they can scope anything properly
A provider who can give you a detailed, priced proposal without first understanding your organisation's current AI usage, department structure, and specific pain points is guessing. A good RFP response should either ask for a short discovery conversation before pricing, or clearly flag that the proposal is indicative and will be refined after one. Treat a provider who skips straight to a fixed price and generic curriculum with some caution.
Ask for role-based content, not one session for everyone
"AI training for 40 staff" is not a scope, it is a headcount. A useful RFP specifies, or asks the provider to propose, different content for different roles: what finance needs is not what customer service needs, and what a department head needs is not what an executive needs. Ask providers directly how they differentiate content by role and seniority, and be sceptical of a one-size-fits-all curriculum for a diverse organisation.
Ask about data handling and compliance explicitly
This is the question most RFPs miss entirely. Ask the provider directly: does the training cover what staff should and shouldn't paste into AI tools, given our specific data sensitivity (customer data, beneficiary data, financial records, whichever applies)? A provider with a real answer to this, not a vague "we cover responsible AI use" line, is one who has actually delivered this training before.
Ask what happens after the workshop ends
A single day of training with no follow-up rarely changes behaviour long-term. Ask providers what post-training support looks like: a usage policy template, a follow-up session, a point of contact for questions. This single question filters out providers who are selling a one-off event rather than a change in how your organisation works.
Ask for evidence, not just a client list
A list of client logos tells you who paid. It does not tell you what changed. Ask for a short description of what a past engagement actually delivered, what staff could do differently afterwards, not just who the client was.
Where FuKazee fits in
FuKazee runs corporate and institutional AI training across Kenya, built around what a specific team actually needs rather than a fixed curriculum. If you are putting together an RFP or a shortlist for AI training and want to talk through scope before you finalise requirements, email lead@fukazee.com.
Want guided support instead?
Plan AI training around your team's real work. Answer a few quick questions about your sector, team size and goals, and we will recommend the right programme and format. Sessions are built on your workflows and include a usage policy.
