Customs and Reclaiming Nigeria’s Missing Revenue with AI, by Abdulsalam Mahmud
In the long and often complicated story of public finance in Nigeria, revenue has always carried both hope and anxiety in equal measure. It is the lifeblood of governance, yet it is also where the deepest doubts about efficiency and accountability tend to reside.
For years, the conversation has circled around leakages, those quiet losses that rarely make noise but steadily weaken the system. Now, there is a sense that something different is beginning to take shape within the Nigeria Customs Service (NCS). On Monday, just three days ago, inside the Ladi Kwali Hall of Abuja Continental Hotel, that shift found expression.
It was not announced with dramatic language or sweeping declarations. Instead, it appeared in the form of a training programme, one that brought together officers, lawmakers, and experts around a shared concern. At its heart was a simple but far-reaching idea that Artificial Intelligence could help fix what has long resisted easy solutions.
The gathering itself carried a quiet significance. Senior Customs officers sat alongside representatives of the National Assembly, their presence speaking to a growing alignment between enforcement and oversight. It was a reminder that revenue management is not the duty of a single institution. It is a chain, and every link matters.
What the Nigeria Service has chosen to do is to begin strengthening those links with technology. Not in the abstract sense that often fills policy documents, but in a way that touches the daily processes of collection, remittance, and reconciliation. These are the areas where leakages hide most comfortably.
They thrive in delays, in inconsistencies, and in the small gaps that no one notices until they become too large to ignore. The Comptroller-General of Customs, Bashir Adewale Adeniyi, spoke with a clarity that reflected both awareness and intent. He did not present technology as a miracle, but as a tool that has already begun to reshape how Customs understands its own operations.
Patterns of trade, once buried in volumes of data, are now easier to read. With that clarity comes the possibility of better decisions. There was also a deliberate effort to situate Customs within a wider system. Revenue does not move in isolation, and neither can the solutions designed to protect it. Banks, auditors, policy bodies, and legislative committees all form part of the same journey.
Any attempt to fix leakages must therefore carry everyone along. Artificial Intelligence enters this space not as an outsider, but as a bridge. It connects data points, identifies irregularities, and offers a level of consistency that manual systems struggle to maintain. In a process as layered as revenue management, this consistency is not a luxury.
It is essential. For Adeniyi, the emphasis was on collective benefit. The promise of AI is not something to be hoarded within a single office or department. It must be shared across the value chain if it is to have real impact. That is why the training was not limited to Customs officers alone.
There is something instructive in the tone of that invitation to participants to ask questions and engage deeply. It suggests an understanding that technology cannot simply be imposed. It must be understood, tested, and adapted by those who will use it. Without that, even the most advanced system will struggle to deliver results.
The Deputy Comptroller-General in charge of Finance, Administration and Technical Services, Kikelomo Adeola, brought another layer of clarity to the conversation. She spoke of the training not as a routine exercise, but as a response to a present need. In her words, Artificial Intelligence has already moved beyond the future. It now belongs to the urgency of the moment.
Her emphasis on gaps in the existing system was particularly telling. It is one thing to adopt new tools; it is another to understand precisely what they are meant to fix. Revenue leakages are not abstract problems. They are rooted in identifiable weaknesses, and addressing them requires a clear sense of direction.
What this training attempts to do is to provide that direction. It equips officers and stakeholders with the knowledge needed to navigate a system that is becoming increasingly data-driven. More importantly, it creates a shared understanding of the goals ahead. That shared understanding is often what separates reform from mere intention.
The presence of lawmakers added a dimension that cannot be overlooked. Oversight is not just about questioning what has gone wrong. It is also about supporting efforts to ensure things go right. In this sense, the collaboration between Customs and the National Assembly reflects a shift in approach.
Honourable Bamidele Salam, Chairman of the House of Representatives Public Accounts Committee, captured this shift with a mix of commendation and caution. He acknowledged the progress already made by the Service, while reminding participants that systems are only as effective as the people who operate them. It was a statement that brought the focus back to capacity.
There is a quiet truth in that observation. Technology can enhance processes, but it cannot replace the human element entirely. Training, therefore, becomes not just important, but indispensable. It is the bridge between potential and performance.
Senator Ahmed Aliyu of the Senate Public Accounts Committee echoed a similar sentiment. His call for systems that can endure speaks to a concern that goes beyond immediate gains. It is about building structures that will continue to function long after the excitement of reform has faded.
This idea of endurance is central to the conversation on AI. It is not enough to introduce new tools; they must be sustained, updated, and integrated into the broader system. Without that continuity, the gains achieved today may not last tomorrow. Reform, in this sense, is a long journey.
The technical presentation by Bamidele Oyedeji offered a glimpse into what that journey might look like. His focus on trade facilitation and operational efficiency brought the discussion back to practical realities. It showed how AI can move from theory to application within Customs operations.
Beyond the technical details, there was an underlying message about possibility. That with the right tools and the right mindset, the long-standing challenge of revenue leakages can be addressed. Not completely eliminated, perhaps, but significantly reduced. And in public finance, even small improvements can have large effects.
Indeed, revenue leakages are not just a Customs problem. They affect the resources available for development, the confidence of investors, and the credibility of public institutions. Addressing them, therefore, carries significance beyond the Service itself. AI, in this context, becomes more than a technological choice. It becomes part of a larger effort to restore trust in public finance.
By improving transparency and accountability, it helps rebuild confidence in the system. That confidence is essential for any meaningful progress. In the end, the story of Nigeria Customs and AI is still unfolding. It is a story of intention, of effort, and of gradual change. It may not produce instant results, but it carries the possibility of lasting impact.
And in a system long defined by its gaps, that possibility is worth holding on to.
*Mahmud, Deputy Editor of PRNigeria, wrote in via: [email protected].*