Kenya is often celebrated as a regional leader in digital innovation. From mobile money to online tax systems, technology has reshaped how citizens and businesses interact with the state.
However, when it comes to financial reporting and regulatory oversight, much of the system still relies on static documents, spreadsheets and PDFs that are costly to produce, hard to analyse and easy to manipulate.
While policymakers grapple with persistent challenges around tax leakage, weak compliance and limited regulatory capacity, digital technology presents one opportunity they can leverage.
An opportunity lies in combining the eXtensible Business Reporting Language (XBRL) with emerging artificial intelligence (AI) tools.
At its core, XBRL is a standardised, machine-readable way of preparing and submitting financial information. Instead of numbers being buried in lengthy reports, XBRL tags each figure so it can be automatically analysed, compared and verified.
The emergence of AI technology on the other hand presents an opportunity to augment XBRL when paired with AI-driven analytics.
Think of XBRL as the language of financial data, and AI as the intelligence that interprets it at scale. Together, these technologies can allow regulators to move from reactive, manual review of reports to proactive, data-driven supervision.
These technologies can assist with flagging unusual deals quickly, detect inconsistencies across filings and identify emerging risks long before they crystallise into scandals or systemic failures.
If properly implemented, AI-enabled XBRL reporting can help to meet regulatory compliance and significantly cut the cost of financial reporting. It can weed out down repetitive data entry, shorten reporting cycles and eliminate human error.
Over time, companies and organisations would spend less time and money correcting mistakes and responding to regulatory queries, thus freeing up resources for productive activities. This can also be especially helpful for SMEs, which often bear a disproportionate compliance burden.
For regulators and policymakers, such as the Capital Markets Authority and the Central Bank of Kenya, which currently receive large volumes of reports that are difficult to analyse quickly or consistently.
With XBRL-based submissions, these regulators can access clean, comparable data across firms and sectors. AI tools can also be deployed to monitor trends, stress-test institutions and support evidence-based policymaking.
The tax system stands to benefit as well, since emerging evidence shows that when financial data is standardised and machine-readable, tax authorities are better equipped to track liabilities and close compliance gaps.
For the Kenya Revenue Authority, integrating XBRL-aligned financial data with AI analytics could strengthen audit selection, reduce evasion and widen the tax base without increasing tax rates. Rather than relying on blanket enforcement, resources can be targeted where risks are highest.
Globally, regulators in the United States, Europe and India have adopted XBRL and are increasingly layering advanced analytics on top of reported data. Closer home, South Africa’s Companies and Intellectual Property Commission mandated XBRL reporting in 2018.
While firms initially fretted about cost and complexity, many now report lower reporting burdens and smoother regulatory engagement.
For Kenya, implementation of iTax and eTIMS shows that large-scale digital reforms are possible when policy intent is clear and thus the country would not be starting from scratch.
The rollout of iTax and eTIMS shows that large-scale digital reforms are possible when policy intent is clear. The next step is to move beyond digitising forms into building intelligent reporting ecosystems. This could take the form of a phased approach that begins with listed companies and large institutions to refine the infrastructure and slowly expand to other sectors.
Professional bodies such as ICPAK would also have a critical role to play by training accountants and auditors in data-driven reporting and analytics.
In the public sector, the Public Sector Accounting Standards Board can align XBRL templates with IPSAS requirements, particularly for state-owned enterprises, where transparency and accountability concerns are most acute.