Nohena brings AI-Powered pre-lodgement compliance to Nigeria’s import trade, eyes African expansion

Live platform helps clearing agents, freight forwarders and importers identify classification, valuation, permit, documentation and customs-risk issues before lodgement.

As African businesses navigate increasingly complex cross-border trade requirements, Nohena, an independent trade-compliance technology company, is bringing artificial intelligence into one of the most critical points in the import process: the period before a customs declaration is lodged.

Nohena is already live in Nigeria, with clearing agents actively using the platform in real import-clearance workflows as adoption grows through industry referrals and practitioner networks. The platform is built to help licensed clearing agents, freight forwarders and importers identify and resolve potential compliance issues before a declaration reaches the customs desk.

The idea for Nohena grew out of a practical problem. Founder Frank Godson began looking more closely at Nigeria’s import-clearance process after his nephew described the difficulty of navigating classification, valuation, documentation and regulatory requirements during an import transaction. What started as an effort to understand where the process was breaking down led Frank and the Nohena team to build a system capable of moving much of that compliance analysis upstream, while there is still time to correct the file before lodgement.

“We realised that many of the problems agents eventually face at the port were already visible in the documents long before lodgement,” Frank said. “The opportunity was not to replace the clearing professional, but to give them better intelligence before the critical decision is made.”

The premise is straightforward: costly customs problems often begin before lodgement but are discovered only after the file has entered the clearance process. An incorrect tariff classification, unsupported customs value, missing permit, inconsistent documents or an origin issue can trigger additional scrutiny, delay cargo movement and increase storage or demurrage exposure.

Nohena is built to move that assessment upstream. Users work from trade documents they already possess, including commercial or proforma invoices, packing lists, bills of lading, Form M records and relevant permits or certificates. The system extracts and reconciles transaction data such as supplier and importer details, quantities, weights, Incoterms, values, origin and product descriptions, reducing repeated manual re-entry and creating a structured compliance record around the consignment.

At the classification layer, Nohena analyses individual product lines against Nigeria’s 10-digit tariff structure and provides the rule, reasoning, citation and confidence behind a proposed classification rather than presenting an unsupported code. Where confidence is insufficient or the issue is materially sensitive, the workflow is designed to route the item for human review instead of silently treating an uncertain AI output as final.

That human-in-the-loop approach is central to Nohena’s design. The company does not present artificial intelligence as a replacement for licensed customs professionals or government systems. Instead, Nohena acts as a pre-lodgement decision-support and compliance-control layer, with the professional retaining responsibility for review and submission.

Customs valuation is another major focus. The platform assesses transaction value, applicable additions, supporting information and independent reference ranges to identify valuation exposure before submission. It also calculates estimated landed cost, including applicable duties, levies, surcharges, VAT and other relevant import charges, giving users a clearer view of the financial implications of a consignment earlier in the process.

For importers, that visibility can influence purchasing, pricing and logistics decisions before costs escalate. For clearing agents and freight forwarders, it creates an opportunity to resolve discrepancies with clients and suppliers before those issues become customs queries.

The platform also incorporates permit, restriction and prohibition checks. Depending on the goods involved, Nohena can flag regulatory requirements relevant to Nigerian imports and help users identify missing documentation or restrictions before the consignment reaches a stage where the issue could interrupt clearance.

Nohena’s workflow is structured around the import-clearance lifecycle, bringing together classification, valuation, document consistency, permits, landed cost and customs-risk indicators before the final declaration is submitted. Its pre-lodgement risk layer is intended to surface the compliance characteristics most likely to attract scrutiny, giving professionals time to investigate and correct the file. Actual selectivity and customs decisions remain with the Nigeria Customs Service.

The platform also supports preferential-origin analysis, including AfCFTA and regional rules-of-origin logic, helping users understand the applicable rule, evidence requirements and potential duty implications where preferential treatment may legitimately apply.

Traceability and governance form another part of Nohena’s enterprise design. The platform maintains a defensible compliance record around assessments, including the basis of key decisions, supporting citations, model or rule versions and human review actions. Its audit architecture is intended to preserve how a classification, valuation or other compliance determination was reached rather than reducing the decision to an unexplained AI output.

Nohena also applies organisation-level data separation and data-minimisation controls to sensitive trade information. The company’s product philosophy is that a customer’s commercial documents and compliance records should remain isolated from other organisations and should not become a competitor’s data.

Importantly, Nohena does not directly lodge declarations into government customs platforms. The platform prepares the compliance assessment, declaration information and supporting record, while the licensed professional remains responsible for the actual customs submission. The company summarises that boundary simply: “Nohena prepares. You lodge.”

That separation is significant in a regulated environment. Rather than attempting to bypass established customs processes, Nohena is designed to improve the accuracy, consistency, traceability and defensibility of the information entering those processes.

Nigeria is Nohena’s current operating market, but the company is building toward a broader African opportunity. Its architecture incorporates regional tariff and rules-of-origin concepts and is intended to support expansion across additional African trade corridors over time. The company distinguishes that expansion roadmap from its current live coverage, which remains focused on Nigerian import clearance.

The broader opportunity sits at the intersection of artificial intelligence, customs modernisation and Africa’s push for deeper regional trade integration. As businesses operate across more jurisdictions, compliance increasingly needs to begin before goods are committed to a shipment rather than after a problem is discovered at the port.

For Nigeria, where ports and import corridors remain central to commercial activity, technology that helps professionals prepare more accurate, consistent and auditable declarations could become an important layer in the wider drive toward faster and more predictable trade.

Nohena’s longer-term ambition is to help establish pre-lodgement assessment as a standard control point in African import compliance: a stage at which classification, valuation, regulatory requirements, landed cost, documentation and declaration readiness are reviewed before the file reaches customs.

The company is betting that the future of trade compliance will not simply be about processing declarations faster. It will be about helping businesses see potential compliance problems earlier, understand why they matter and give the licensed professional the evidence and time to fix them first.