Customs
Customs launches AI-driven training to strengthen revenue management, transparency
Gloria Odion, Maritime Reporter
The Nigeria Customs Service (NCS) has launched a capacity-building programme focused on the application of Artificial Intelligence (AI) in revenue generation, remittances, and reconciliation, as part of its ongoing efforts to enhance transparency and efficiency in public financial management.
The training,held on Monday,13th April 2026, at the Ladi Kwali Hall of the Abuja Continental Hotel, brought together senior Customs officers, technology experts, and members of legislative oversight committees.
The participation of both lawmakers and Customs officials highlights the growing collaboration between the Service and the National Assembly to strengthen accountability and integrate modern technological solutions into public administration.
Speaking at the event,the Comptroller-General of Customs, Adewale Adeniyi,reaffirmed the Service’s commitment to improving transparency in public accounting through innovation.
“We are united in our resolve to ensure transparency in public accounting.
“As technology continues to evolve, it plays a critical role in strengthening our operations and enhancing our understanding of global trade patterns,” he said.
The Comptroller-General expressed optimism about the potential of Artificial Intelligence to transform Customs operations, noting that the Service operates within a complex national and international trade ecosystem.
“We aim to harness the full benefits of Artificial Intelligence collectively. I encourage participants to actively engage with facilitators, ask questions, and maximise the opportunities provided by this training,” he added.
In her welcome address,the Deputy Comptroller-General in charge of Finance, Administration and Technical Services, Kikelomo Adeola, described the programme as both timely and strategic.
“This initiative underscores our commitment to national development. Artificial Intelligence is no longer a concept of the future—it is a present-day tool we must embrace to strengthen our systems,” she said.
DCG Adeola explained that the training is designed to address existing gaps in revenue management while equipping officers with the necessary skills to deploy AI tools in safeguarding public funds.
She also commended the presence of members of legislative oversight committees, describing it as a reflection of shared commitment to transparency and accountability.
“This level of collaboration is vital. I encourage participants to engage meaningfully and exchange ideas that will enhance the impact of this initiative,” she added.
Delivering a goodwill message, the Chairman of the House of Representatives Public Accounts Committee, Bamidele Salam, praised the NCS for its reform-driven approach and commitment to innovation.
“Customs is a global institution with a critical role in shaping Nigeria’s economic image.
“I commend the Comptroller-General for the progress recorded so far,” he said.
Salam described the training as a necessary intervention,noting that the adoption of Artificial Intelligence within Nigeria’s public sector remains limited.
“We must continue to invest in capacity building, as the effectiveness of any system ultimately depends on the people who operate it,” he added.
Similarly, the Chairman of the Senate Public Accounts Committee, Senator Ahmed Aliyu, called for sustained collaboration in building resilient systems capable of serving future generations.
“All hands must be on deck to build systems that will endure and continue to serve the nation effectively in the years ahead,” he said, while commending the Service’s reform efforts.
The programme also featured a technical presentation by AI expert Bamidele Oyedeji, who highlighted the role of Artificial Intelligence in enhancing trade facilitation and improving operational efficiency in Customs administration.
The initiative underscores the Nigeria Customs Service’s determination to leverage emerging technologies to strengthen revenue assurance, promote transparency, and enhance overall operational effectiveness.
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