Uganda Revenue Authority goes after the Digital Economy: Payments Systems and third-Party Transaction Information in Tax Administration.

Mark Ruhindi is a leading tax lawyer, ranked as Highly Regarded-ITR World Tax. He is the founder and Managing Partner, MRT Tax.

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MARK RUHINDI

Mark Ruhindi is ranked as Highly Regarded-ITR World Tax
MRT Tax is ranked as a Notable Leading Tax Firm in Uganda-ITR World Tax.

Uganda’s tax compliance landscape has been undergoing a digital transformation since the late 2010s, with technology being at the centre of compliance and enforcement.

The roll out of VAT electronic invoicing or what many know as EFRIS, officially launched in January 2021, was quickly followed by the deployment of advanced data integration tools through a URA contractor (RippleNami) to help identify and profile taxpayers in the real estate sector: rental income and capital gains tax and Stamp Duty.

Taxation of the Digital Economy

In 2023, URA announced the implementation of the Digital Services Tax aimed at
taxation of non-residents providing digital services to customers in Uganda via internet platforms at the rate of 5%.

Digital services tax under the Income Tax Act followed the earlier enactment of deemed supplier VAT rules applicable to non-residents supplying digital services (the statute terms them “electronic services”) in Uganda, whenever the recipient of a supply is a non-taxable person (B2C transactions).

Both the Digital Services Tax (under the Income Tax Act) and deemed supplier VAT
rules (under the VAT Act) apply to non-residents only. Resident taxpayers remain
subject to the ordinary VAT and income tax regimes.

However, for the purposes of this commentary, I will restrict myself to discussing their relevance to a Ugandan resident taxpayer and the digital economy in general.

What are digital services and what is covered under the digital economy?

Commercial activities that fall under the digital economy might include:

Online advertising services, data services, services delivered through an online marketplace or intermediation platform, including an accommodation online marketplace, a vehicle hire online marketplace and any other transport online marketplace, digital content services, including accessing and downloading of digital content, online gaming services, cloud computing services, data warehousing, services other than those delivered through a social media platform or an internet search engine.

The bulk of these services are paid for through online payment systems operated by multi-national firms such as Visa and through local mobile money transactions aided by aggregators such as the financial services firm Pegasus Technologies.

These payment systems are also used to pay for services that do not necessarily fall under the digital services category.

An obvious example is a supermarket Point of Sale MoMo transaction.

Therefore whereas the digital economy is mostly composed of digital companies and the web-based commercial marketplace, the brick-and-mortar businesses are also covered since most now take payment through digital payment systems.

Digital payment systems now permeate nearly every sector, therefore blurring the line between the traditional and digital economy.

Third Party Information, Artificial Intelligence and Data Analytics

The internet marketplace and the digital economy are data-driven and therefore I
anticipate the next stage of the government’s tech-driven tax compliance enforcement campaign to be deployment of big data analytics and artificial intelligence in building taxpayer profiles using third-party payments and financial services information to flag transactions that would otherwise have escaped the tax net.

A recent tax dispute decided by the Tax Appeals Tribunal, in which a gaming firm had to fight off UGX 28 billion assessment in gaming tax and withholding tax, is a perfect demonstration for this. Refer to Massalia SMC Ltd v URA TAT Application 251 of 2024.

This assessment was raised largely on third-party data from MTN Mobile Money, Airtel Money and Pegasus Technologies and highlights the current push by the authorities to leave no stone unturned in taxing the digital economy.

Although the Tribunal considered whether such data, without corroboration from taxpayer records, is sufficient and reliable(Siding with the taxpayer that it was not). It must be emphasized that the evidential burden in tax litigation primarily rests on the taxpayer.

This is one of the borderline cases where the taxpayer gets away with not providing information as requested by the tax authorities and indeed the decision was not unanimous, with the Chairperson of the tribunal dissenting(she thought the tax should be collected as assessed).

The Challenge for Transaction-Heavy Sectors

Sectors such as E-commerce, Gaming, Financial Services (fintech), and Telecoms process hundreds of thousands and for some, even millions of daily transactions.

Unlike a few years ago when tax authorities had no means of scrutinising such an
overwhelming volume of transactions and to assess tax upon each and every one including the tiniest of transactions.

Currently, Tax Authorities are able to rely on advanced data analytics and the deployment of artificial intelligence tools to track tax on even the smallest of transactions.

Tax authorities are also able to build taxpayer profiles and raise assessments from
mountains of data obtained from third parties including payments and telecom platforms (e.g. MTN, Airtel, Pegasus), in some cases using monitoring systems such as the Telecommunications Intelligence Monitoring System (TIMS), which was originally designed for excise duty but is now adapted for broader oversight.

Globally, revenue authorities are already demonstrating how artificial intelligence (AI) and advanced analytics can transform tax administration. The UK’s Connect platform analyses billions of data points, including bank transfers, property records, and customs declarations, to detect potential underreporting.

URA’s partnership with RippleNami, a California-based technology company, to harness data integration (sometimes marketed as blockchain solutions) for building taxpayer profiles in the real estate sector has already borne fruit, with rental income revenue performance growing more than 100% each tax year.

By integrating NIRA, land registry data, and data from utility service providers, RippleNami’s platform has enabled URA to identify property owners and assess rental tax, track property transactions and create audit trails for capital gains tax audits etc.

Regional Parallels: East Africa’s Digital Taxation Drive

Uganda is not alone in this shift. Across East Africa, tax administrations are
experimenting with digital tools to close compliance gaps:

  • Kenya Revenue Authority (KRA) has piloted AI-driven risk profiling and data
    analytics to monitor VAT compliance. In Nairobi, property tax administration is
    increasingly linked to digital land registries and GIS mapping, with KRA
    experimenting with digital mapping to expand its real estate tax base.
  • Rwanda Revenue Authority (RRA) has deployed advanced e-filing systems and
    is gradually integrating AI-based data analytics into customs and domestic tax
    processes, aiming for real-time risk detection.
  • Tanzania Revenue Authority (TRA) has expanded its use of electronic fiscal
    devices (EFDs), integrated with mobile payment systems, to track sales data and
    improve VAT collections.

Together, these developments show a regional trend, with tax authorities relying on big data to build taxpayer profiles using third-party information, blockchain, AI, and digital platforms.

Taxpayers Must Invest in Technology

Tech is not reserved for tax authorities. Businesses too must invest in tax
technology to protect themselves from over-assessment. For companies processing millions of data points, manual reconciliation is no longer viable.

Without proper systems that can track every stake, payout, deposit, or transaction in real time, taxpayers are left vulnerable when tax authorities cross-check their tax filings against third-party platforms to raise additional assessments.

In practice, this means deploying Enterprise as well as Tax technology tools that:

  • Integrate directly with EFRIS, payments services providers and other partner core business platforms.
  • Automate reconciliation of high-volume transactions.
  • Generate audit-ready reports aligned with the Tax Procedures Code Act
    record-keeping requirements.
  • Preserve granular transactional data for the statutory five-year period.

The Downside of Tech-Driven Compliance Enforcement

I must point out that URA needs to ensure technology does not replace human
decision-making intuition and expertise in tax administration.

For taxpayers, reassurance and transparency as to the competence of the tax
administrators assessing them, as well as the integrity of the technology, and third party information deployed in raising assessments, are key.

If it is third-party data sought to be relied upon to conduct audits and raise assessments, then taxpayers deserve to interrogate the integrity of that data and confirm that the audits are premised upon objective, verifiable data and that they can challenge assessments with their own accurate records.

Conclusion

This commentary is written as a wake-up call for Uganda’s private sector and
especially for the data-driven sectors whose activities fall under digital and electronic services.

A large section of the economy is now powered by electronic data and naturally,
taxation of data-driven transactions will be driven by data analytics and technology and not manually generated spreadsheets.

The URA has already shown its willingness to leverage third-party data sources in
gaming, telecoms, and real estate and more sectors will follow.

Technology makes it easier to raise assessments relying on this data and so it is
important that taxpayer information is accurate and defensible in the face of a tax
dispute.

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Mark Ruhindi is ranked as Highly Regarded-ITR World Tax
MRT Tax is ranked as a Notable Leading Tax Firm in Uganda-ITR World Tax.

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