There’s a pitch we’ve heard a few times now, and it goes something like this: “We use AI to deliver more for less. Our tools automate the creative process so you get faster output at lower cost.”
It sounds good. Sometimes it even is good. But it’s also exactly the kind of claim that deserves a harder look before any brand signs anything.
AI has genuinely changed how agencies work. We use it ourselves — for research, for iteration, for the kind of repetitive production tasks that used to eat disproportionate chunks of creative time. The efficiency gains are real. But there’s a difference between an agency that uses AI to do more creative thinking with the same team, and one that uses AI to replace the thinking entirely and call it a service.
Here’s how to tell the difference.
What AI in an agency should actually do
The honest version of AI-augmented agency work looks something like this: the machine handles what machines are good at, and humans handle what humans are good at.
Machines are good at processing data, generating variations at scale, monitoring campaign performance across dozens of variables simultaneously, catching errors, and producing first drafts that a human then improves. Agencies that use AI well are using it to eliminate the boring parts of the job — the asset versioning, the reporting, the keyword research, the repetitive production work — so their people can spend more time on strategy, creative direction, and the kind of judgment that algorithms genuinely cannot replicate.
Humans are still good at understanding what a Ugandan audience actually finds funny. At knowing when a brief is pointing in the wrong direction. At building the kind of client relationship where honest feedback travels in both directions. At reading a room. At taste.
AI can produce content faster than any human team. It cannot tell you whether that content is true to your brand, right for your market, or worth saying at all. That part is still on us.
The questions worth asking any agency claiming to be “AI-powered”
Not all AI-powered agency services are equal. When any agency leads with AI as a selling point, these are the questions that will tell you whether it’s signal or noise:
- Who is reviewing the AI output before it reaches me? If the answer is unclear, the quality control is unclear.
- What does your AI actually do in our workflow? Vague answers here usually mean the AI is doing more than the agency is comfortable admitting, or less than they’re implying.
- How does your strategy process work? AI is good at execution. Strategy requires human judgment about your specific business, market, and customer — and it can’t be automated away.
- Can I see work you’ve done that required real creative problem-solving? Not templated output. Not a generated social post. Work where someone made a genuinely difficult creative call.
- What’s your process when the AI gets it wrong? Because it will. The answer to this question tells you a lot about how seriously they take accountability.
What this means for Ugandan brands
For clients, AI in agency services is mostly good news — done well, it means faster turnaround, better data, more variations tested, and smarter campaign management. For a market like Uganda, where production capacity has historically been a real constraint, AI tools genuinely expand what’s possible.
But the market is also about to fill up with agencies that are primarily automating output and calling it creativity. The differentiation between a genuinely good creative agency using AI and a content factory producing volume without thinking is going to become one of the more important procurement decisions Ugandan brands make in the next few years.
The test is simple: take away the AI, and what’s left? If the answer is a team with strong creative instincts, real strategic capability, and genuine knowledge of the Ugandan market — the AI is an amplifier. If the answer is mostly the technology, you’re not buying an agency. You’re renting a tool.
The agencies that will matter in five years are the ones using AI to become more creative, not less. The ones that use it to cut corners will produce corner-cutting work. It usually shows.
At Sukri, we use AI in our work — for research, for production efficiency, for campaign monitoring. We don’t use it to replace the thinking. If you want to understand what that looks like in practice, let’s talk about your brief.
