The automated tax framework, supported by third-party reporting from banks, captures revenue data and links it directly to buyer-side expense records. This enables continuous monitoring of transactions, allowing discrepancies to be flagged automatically and reducing opportunities for underreporting or margin manipulation.
According to KPMG transformation lead Tania Davids, tax compliance is moving toward full automation. “In five to ten years, we’re looking at returns being processed in an automated fashion,” she said. The reform forms part of the government’s broader effort to address fiscal strain, including a projected ₦23.85 trillion deficit in the 2026 budget.
The shift is expected to widen the effective tax net by allowing authorities to validate submissions in near real time and potentially pre-fill returns. In effect, traditional self-assessment may give way to algorithm-driven verification.
However, the system’s success depends on sustained investment in analytics infrastructure, cybersecurity, system integration, and skilled personnel. As Adeniyi Adeyemi, Group Head of Tax at Sterling Financial Holdings Company, noted, effective oversight requires clear governance structures and escalation protocols. Automation may reduce discretion, but it also demands stronger internal processes.
Under the new model, discrepancies that might previously have been absorbed during annual reviews could now trigger automated alerts. Companies will therefore need tighter internal controls and closer alignment between enterprise resource planning systems and invoicing platforms.
For businesses, the reform fundamentally alters the compliance equation — shifting from periodic defense to continuous reconciliation. Accounting records must reconcile with transaction-level data accessible to tax authorities, and tax functions are likely to move closer to finance and technology teams, with greater board-level oversight of compliance risk.
While automation may reduce disputes over whether revenue exists, disagreements could shift toward classification and deductibility, particularly during the transition from legacy systems. As enforcement expands over the next two years, tax administration is moving from voluntary disclosure toward data-backed validation.
Smaller firms and self-employed operators may face steeper adaptation costs and operational challenges in meeting new reporting standards. Authorities will need to balance enforcement with guidance and system support to avoid widening compliance gaps.
As the automated tax assessment system becomes fully operational, companies will need to invest in readiness, while regulators must ensure the framework remains fair, secure, and efficient in reducing tax evasion without imposing excessive compliance burdens.
