27/08/2026
How I landed my first AI consulting client in Kenya — after they told me AI wasn't for them 👇
I pitched 11 businesses before one said yes. The objections were always the same: too expensive, data will leave Kenya, "our staff will resist it." I almost believed them. Then I figured out the one shift that actually closes the room.
Here's what worked (and what completely flopped):
👉 FLOPPED: leading with the technology. The moment I said "machine learning" or "large language model," eyes glazed over. Never open with the tool.
👉 WORKED: opening with a cost they already knew they had. "How many hours does your team spend each week on data entry / reports / follow-ups?" Let them say the number out loud. That number becomes your budget.
👉 FLOPPED: showing a demo built for a Western company. Kenyan SMEs don't see themselves in a Silicon Valley dashboard. Build a prototype with their own logo, their own product names, their own Swahili-language inputs before the pitch.
👉 WORKED: addressing data privacy before they raised it. Say it first: "Your data stays on Kenyan servers. Here's the clause in our agreement that says so." The objection dies before it's born.
👉 FLOPPED: quoting a monthly retainer in USD. Reframe everything in KES. Same number, completely different reaction in the room.
👉 WORKED: a 2-week paid pilot at a price that felt like "we'll try it" money. Not free — free signals no value. Small enough that the finance director can approve it without the board.
👉 FLOPPED: leaving with a proposal document. They never read it. Close the next step in the room: a date, a name, a specific action.
The first yes didn't come from a better pitch. It came from making the risk small enough to say yes to.
