The teams getting real leverage from AI are not running “AI campaigns.” They are rebuilding how the marketing operation works: research, strategy, content, creative, distribution, measurement and learning connected into workflows where the machine does the production and people do the judgement.
At Baraka that looked like this: content output up more than five times, topic-to-publish time down from days to under an hour, and a knowledge base over our brand and compliance documents so that generated copy came out on-brand and regulator-aware by default, not fixed in review afterwards. Reporting moved from monthly decks to a daily automated pull that flags anomalies on its own.
None of that required exotic technology. It required treating AI like an operating layer: mapping the repetitive work, wiring the tools into the places that work happens, and putting quality control between the machine and the customer.
The test for any AI initiative is boring and commercial. Did cycle time drop? Did output rise at the same quality? Did reporting get faster, without adding people? If the answer is no, it isn’t transformation. It’s theatre.