Nigeria is undertaking a structural overhaul of its tax compliance administration, moving from a self-assessment tax regime to an automated system. This new framework will see tax authorities validating returns against independently sourced electronic data. According to Tania Davids, Africa tax and transformation lead at KPMG, “In a future world, five to ten years from now, we’re looking at our returns in an automated fashion.” Davids made this statement at a KPMG webinar titled ‘Strengthening the tax function to respond to regulatory changes.’

Under this new system, revenue officials may possess a company’s revenue and expense profile before annual filings are even submitted. This reform aims to reduce reliance on voluntary declarations and strengthen the government's capacity to verify income at its source.

The implementation of the automated system will occur in phases. Large taxpayers have already completed pilot phases, with enforcement scheduled to begin in April 2026. Medium taxpayers are slated to go live in July 2026, with enforcement starting in January 2027, while emerging taxpayers will be integrated in 2027.

Electronic invoicing forms the cornerstone of this system, supported by third-party reporting from banks and financial institutions. This approach captures revenue at the transaction level, linking supplier invoices directly to buyer expense records. Any discrepancies can be automatically flagged, limiting the potential for underreporting or margin manipulation. Unlike traditional audits, which rely on periodic reviews, digital invoicing enables continuous monitoring.

Adeniyi Adeyemi, Group Head of Tax at Sterling Financial, emphasized the importance of robust decision-making processes, stating, “We needed decision-making to rest on more than one person; there was a clear protocol on escalation.”

As data integration deepens, authorities will be able to validate submissions in near real-time and potentially pre-fill returns, effectively transforming self-assessment into algorithmic verification.

This shift comes at a time of fiscal strain for Nigeria. The nation’s fiscal deficit is projected at N23.85 trillion in the 2026 budget, while the newly reconstituted Nigeria Revenue Service has set a revenue target of N40.71 trillion. Although Nigeria’s tax-to-GDP ratio has risen to about 9.5 percent, it still lags behind that of peer economies, highlighting a structural revenue gap. Automation offers a potential solution to achieve higher compliance without increasing statutory rates.

Davids further explained the implications of the automated system: “In the manual situation, you still have the option of review and correction. In the automated model, errors once absorbed within annual reviews may now trigger automated flags.”

By enhancing verification and reducing information asymmetry between taxpayers and the government, the system aims to widen the effective tax net.

However, this fiscal urgency exists alongside budget constraints. Allocation to the digital economy sector has been reduced to N84.56 billion in the 2026 fiscal year. Revenue digitization requires ongoing investment in analytics infrastructure, cybersecurity, system integration, and skilled personnel. The success of automation at scale hinges on both institutional capability and policy design.

For businesses, this reform significantly alters the compliance landscape. Previously, companies calculated liabilities internally, filed annual returns, and responded to audits selectively. Disputes often centered on interpretation, documentation gaps, or post-filing reviews. The automated model compresses this timeline. When third-party data diverges from company filings, authorities may issue queries before final assessments are concluded. Compliance is therefore evolving from periodic defense to continuous reconciliation.

Companies will need to bolster internal controls and ensure closer alignment between enterprise systems and invoicing platforms to reconcile accounting records with transaction-level data accessible to authorities. Tax functions are likely to integrate more closely with finance and technology teams, with greater board-level oversight of compliance risk.

Automation also reduces discretion, meaning errors that were once absorbed within annual reviews may now trigger automated flags. Smaller firms could face higher adaptation costs, including system upgrades and staff training.

Tax professionals anticipate fewer disputes over revenue existence, as both authorities and companies will rely on shared electronic records. However, disagreements may shift to classification, deductibility, transfer pricing interpretation, and timing recognition, particularly during the transition from legacy systems.

A key objective is to improve compliance beyond large corporations. Third-party reporting could enhance visibility into self-employed professionals and smaller enterprises operating within the formal banking system. While emerging taxpayers will not be fully integrated until 2027, the signaling effect is immediate: informational gaps that once constrained enforcement are narrowing.

The self-assessment model placed primary responsibility on taxpayers to compute and disclose liabilities, with authorities intervening selectively. The automated framework introduces parallel data streams, positioning companies less as sole reporters and more as validators of state-captured information.

As enforcement expands over the next two years, tax administration is transitioning from voluntary disclosure toward data-backed validation. For companies, compliance will be measured not only by what is declared, but by how closely those declarations align with the digital footprint already visible to authorities.