You've probably noticed something strange about your AI assistant. It answers basic questions well, but keeps missing the mark when things get specific to your business.
You ask about "drawdown," and it talks about economic decline when you meant loan disbursement.
You mention "code status," and it gives software development advice when you're in healthcare.
This isn't your…
Business leaders across Africa are noticing a troubling pattern: competitors' AI solutions consistently deliver better customer experiences than their own implementations. These business leaders feel but rarely admit: "Our AI assistant feels clunky compared to what our competitors offer."
This isn't just about technology; it's about market position. When customers experience your AI, they're not comparing…
Twelve months ago, a major African bank’s fraud system was a success story, catching 94% of suspicious transactions with almost no false positives.
The board celebrated, a press release went out, and the AI team got bonuses.
Today, the same system only flags 71% of fraud and is tripling the number of legitimate transactions it marks as…
The marketing team at a Lagos-based fintech company deployed a generic AI assistant to handle customer inquiries. Within a week, they faced a crisis.
The AI confidently told a customer that account verification would take "3-5 business days" when in fact, the actual process took 24 hours.
It referred to their flagship product by its old name,…
The boardroom presentation was flawless. The AI model predicted customer churn with 94% accuracy, identified fraud patterns with precision, and promised to save millions annually.
Six months later, the same model sits disabled in production, its predictions so wildly inaccurate that the customer service team stopped trusting its recommendations.
The company joins the 80% of organizations whose…
