In-house AI champions or an external trainer: which should your organisation choose?

"We'll just get someone from IT to run a session" is how most in-house programmes start, and it is also why most of them stop after that session. Doing it properly means owning five things:

• A curriculum. Not a tool demo: a sequence that takes staff from what AI is, through prompting and verification, to redesigned workflows and responsible use. Someone has to write it, test it and keep it current as the tools change.
• Champions with protected time. Two or three people who already produce good AI-assisted work, and whose managers agree to give them hours each week to teach and support colleagues.
• Safe practice material. Exercises built on your real document types without exposing real customer, personnel or beneficiary data.
• A usage policy. Written rules on what may and may not go into which tools, and who signs off AI-assisted work. Without it, the enthusiastic staff create risk and the cautious staff do nothing.
• A sponsor who keeps it alive. A senior owner who asks about it after month two, when the novelty is gone and the calendar has filled up again.

The hidden cost is almost always the time of your most capable people. It rarely appears on a budget line, which is why in-house looks free and external looks expensive.

Bringing in a trainer is the right call when speed, coverage or credibility matters more than building the muscle from scratch:

• You need a baseline across the whole team quickly. Leadership, department heads and operational staff all working from the same understanding, in weeks not quarters.
• Your best people are already at capacity. Taking them off revenue or delivery work to write a curriculum is the most expensive option you have.
• There is no usage policy yet. A structured programme that ends with policy and guardrail material closes the governance gap in the same engagement.
• The board or a regulator is asking. An external, documented programme is easier to evidence than an internal lunch-and-learn.
• You want an outside view of your workflows. Someone who has seen how banks, NGOs, universities and public institutions redesign the same document-heavy processes.

This is what FuKazee's corporate AI training is built for: a seven-module programme delivered on-site in Nairobi, across branches or online, customised to your real work, ending in an AI usage policy. Clients include Bank of Africa Kenya and Savannah Tracking Limited; corporate client Inclusivity Solutions reported approximately 40% productivity improvement across African markets after the enablement work.

• In-house: visible costOften close to zero on paper
• In-house: real costSenior staff hours to build and run it, plus the delay before the team reaches a working baseline
• External: visible costA quotation, scoped to headcount, sites, modules and delivery format
• External: real costThe quotation plus participant time in sessions, usually half-days over two to four weeks

Compare the total cost of getting the whole team to a working baseline with a policy in place, not the invoice alone. FuKazee's pricing is quoted per engagement; the factors that drive it are laid out in what corporate AI training actually costs in Kenya.