Last week, Paystack launched Paystack Index, an experimental product that lets users in Nigeria complete everyday transactions through AI agents. Ask Claude or ChatGPT to buy airtime, send money, or order food, and the AI agent executes it directly through Paystack’s payment infrastructure. No app switching. No checkout page. The agent acts.It is one of the most significant product launches in Nigerian tech this year. But it surfaces a question that the excitement has largely overshadowed.
When an AI agent takes financial action on a user’s behalf, who is responsible for ensuring that action stays within the law?
Not the user. Not the AI company. Not the payment provider. The organisation that deployed the agent. And in Nigeria, that organisation must answer to some of the most consequential regulations in the country’s history.
The Moment the Agent Acts, the Law Applies
Nigeria’s data protection and financial regulations are not suggestions. They carry real penalties, including fines running into millions of naira, licence suspensions, and in some cases criminal liability for responsible individuals.
Consider what happens when an AI agent gets it wrong. A customer asks the agent to transfer a large sum. The agent processes it efficiently, instantly, exactly as designed. But that transaction may have triggered a mandatory reporting requirement to Nigeria’s Financial Intelligence Unit. The agent had no awareness of the threshold. Nobody built that awareness in.
Or the agent accesses a customer’s identity data to complete a verification. It stores a piece of that data after the transaction is done. Unknown to the engineers who built the system, Nigeria’s NIMC Act 2026 explicitly prohibits this, with penalties that include a twenty-million-naira corporate fine and a minimum five-year prison sentence for the individual deemed responsible.
These are not hypothetical worst-case scenarios. They are everyday situations that any AI agent handling financial transactions or customer data in Nigeria will encounter. The agent is not malicious. It simply does not know what it is not allowed to do.
Capability Was Built In. Compliance Was Not.
The major AI frameworks that Nigerian organisations are adopting, including LangChain, CrewAI, and AutoGen, were built for capability. They give agents memory, reasoning, and the ability to take real-world actions. None of them was built with awareness of Nigerian regulatory requirements. That gap belongs to the organisation deploying them, not the framework authors.
Paystack Index is a brilliant product. But it demonstrates precisely why this gap matters. The moment AI agents begin taking financial actions on behalf of Nigerian users, every regulatory obligation that would normally apply to that action still applies. The regulator does not reduce its expectations because the actor was artificial. If a transaction violates a rule, the organisation that deployed the agent is responsible.
Building compliance awareness into each agent, product by product, organisation by organisation, is both inefficient and unreliable. What the ecosystem needs is shared infrastructure. A layer that any agent can use to check whether an action is safe to take, before taking it.
Introducing comply54
Two weeks ago, I wrote in these pages about why Nigerian engineers should stop waiting for global AI platforms to notice Africa and start building the missing pieces themselves. I had just contributed an open-source African regulatory policy pack to Microsoft’s Agent Governance Toolkit, the first time Nigerian and African regulatory frameworks had been represented in a major international AI governance tool.
comply54 is the next step in that work.
It is an open-source AI governance engine that enforces African regulatory law inside an AI agent’s decision process, before any action is executed. Think of it as a compliance layer that sits between an AI agent and the real world. Before the agent transfers money, accesses a customer record, stores identity data, or performs any sensitive action, comply54 evaluates the request against the applicable regulations and returns a structured decision: allow, block, or escalate for human review, with the exact legal citation attached.
The decision is not a vague warning. It is a specific, auditable record that states which regulation applied, which rule was triggered, and what the agent was and was not permitted to do.
comply54 currently supports 21 policy packs across 12 African jurisdictions, covering Nigeria’s core regulatory frameworks across data protection, financial services, identity, and anti-money laundering, as well as South Africa, Kenya, and eight additional African markets. It runs entirely offline, installs in minutes, and integrates with the major AI agent frameworks without requiring changes to existing infrastructure.
Why this moment matters
Paystack Index is not alone. Other Nigerian fintechs are moving in the same direction. AI agents are becoming the interface through which millions of Nigerians will access financial services, health information, and government processes. That is genuinely exciting.
But capability without compliance is a liability. Every organisation that deploys AI agents touching regulated activities in Nigeria is now in the business of AI governance, whether it has recognised that yet or not.
The organisations that build compliance in from the start will be in a fundamentally stronger position than those that retrofit it later or discover the gap only when a regulator asks. comply54 exists to make the right choice the easy choice. It is open source, available today, and built specifically for the African regulatory context that the global AI ecosystem has not yet caught up with.
The bottom line
Paystack has shown that AI-native financial services in Nigeria are here. The question now is whether the compliance infrastructure keeps pace.
The answer to that question will shape whether Nigeria leads the next era of African AI or spends the next decade managing the consequences of moving too fast without adequate guardrails.
Oluwajuwon Steven Omotayo is a software engineer and CTO at Sagegrey Technologies, Lagos. He is the founder of comply54, an open source AI compliance enforcement engine for African regulated industries. The project is available at comply54.io and github.com/comply54/comply54, licensed under Apache 2.0.