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How Mouka saved time and improved customer payment experience with Paystack

AI adoption across fintech is accelerating. Inside companies, teams are using AI to analyze transactions, respond to customer questions, review code, and automate internal workflows.

For African fintechs, the upside is meaningful. AI can help detect fraud earlier, support teams operating across multiple markets, and reduce friction for merchants and their customers. When used well, it can make financial systems faster and more reliable.

But the risks are just as real. As AI use has increased, reported AI-related incidents have risen sharply too. In fintech, a poorly governed AI system can do real damage. For example, an AI tool trained on transaction or support data without proper controls could expose sensitive customer information, or make automated decisions that teams can’t clearly explain or stand behind. In regulated environments, that lack of clarity can quickly become a compliance issue, not just a technical one.

Regulators are starting to respond, with new AI-related rules emerging globally and across Africa. In Nigeria, for example, a proposed National Digital Economy and E-Governance Bill is expected to be passed by March 2026. The bill aims to give regulators new levers of control over algorithms, data, and digital platforms.

Still, trust doesn’t come from regulation alone. It comes from building systems that behave predictably, protect data, and hold up under scrutiny.

That’s why how AI is used matters as much as whether it’s used at all. In a regulated industry like fintech, weak AI governance can limit what’s possible, put merchants at risk, and compromise trust.

At Paystack, responsibility is part of how we think about building from the very beginning.

How Mouka saved time and improved customer payment experience with Paystack

AI adoption across fintech is accelerating. Inside companies, teams are using AI to analyze transactions, respond to customer questions, review code, and automate internal workflows.

For African fintechs, the upside is meaningful. AI can help detect fraud earlier, support teams operating across multiple markets, and reduce friction for merchants and their customers. When used well, it can make financial systems faster and more reliable.

But the risks are just as real. As AI use has increased, reported AI-related incidents have risen sharply too. In fintech, a poorly governed AI system can do real damage. For example, an AI tool trained on transaction or support data without proper controls could expose sensitive customer information, or make automated decisions that teams can’t clearly explain or stand behind. In regulated environments, that lack of clarity can quickly become a compliance issue, not just a technical one.

Regulators are starting to respond, with new AI-related rules emerging globally and across Africa. In Nigeria, for example, a proposed National Digital Economy and E-Governance Bill is expected to be passed by March 2026. The bill aims to give regulators new levers of control over algorithms, data, and digital platforms.

Still, trust doesn’t come from regulation alone. It comes from building systems that behave predictably, protect data, and hold up under scrutiny.

That’s why how AI is used matters as much as whether it’s used at all. In a regulated industry like fintech, weak AI governance can limit what’s possible, put merchants at risk, and compromise trust.

At Paystack, responsibility is part of how we think about building from the very beginning.