Written by: Chris Cochrane, CEO & Founder, fluid

Global tax is evolving fast. Are you?

 Date: 1 April 2026

Written by: Chris Cochrane, CEO & Founder, fluid

Global tax is evolving fast. Are you?

 Date: 1 April 2026

Global tax is no longer a static function. It is a living, evolving landscape. New transparency frameworks, evolving Pillar 2 rules, and shifting interpretations of local and international legislation have created a landscape that is as complex as it is dynamic.

Pillar 2, in particular, represents a new frontier: A space that’s still maturing, where the rules are complex, data requirements are vast, and the scope for error is high. Traditional tools and calculators provide guidance, but only up to a point. The real challenge lies in continuously testing assumptions, reconciling data, and refining positions as regulations and interpretations evolve.

AI is emerging as the essential enabler for modern tax functions. Intelligent centralised tax data repositories are becoming the backbone for navigating the turbulent global tax environment, reducing the burden of manual data collection and enabling tax teams to manage increasingly complex, multi-jurisdictional requirements with confidence and speed. By consolidating data from multiple entities, jurisdictions, and systems, AI creates a “single source of truth” that is continuously updated and validated.

The key to tackling Pillar Two and challenges

The rollout of Pillar 2 and other BEPS reforms, including the 15% global minimum tax, is demanding entirely new datasets and sophisticated country-by-country reporting. With South Africa having committed to implementing these reforms, and SARS actively preparing for these requirements, local tax practitioners are starting to align their data and reporting capabilities with global standards. However, many are finding that legacy systems, fragmented spreadsheets, and disconnected ERPs make it difficult to consolidate and standardise the volumes of data required.

 

The challenge is compounded by fragmented data landscapes. Multinationals generate tax-relevant information across financial systems, sub-ledgers, operational systems, and multiple geographies. Millions of daily transactions, combined with unstructured data such as contracts, invoices, customs documents, and emails, create a volume and complexity that manual processes cannot realistically manage.

 

This is where AI fundamentally transforms the equation. By creating intelligent, centralised tax data repositories, AI can automatically ingest, validate, and structure both structured and unstructured data, turning previously fragmented datasets into a reliable, audit-ready foundation for Pillar Two reporting. AI-driven mapping of local GAAP and statutory data into globally consistent formats eliminates hours of manual reconciliation and mitigates risk.

 

Beyond data standardisation, AI enables intelligent aggregation for country-by-country reporting, Pillar Two compliance, and CFC filings. It automatically identifies relevant entities, extracts taxable bases, and flags gaps. Real-time, high-volume processing allows millions of transactions across geographies to be continuously monitored, validated, and processed.

The strategic core of global tax operations

Most importantly, in a global tax environment that is constantly evolving, with new rules, guidance, and divergent interpretations emerging regularly, AI provides a dynamic foundation that allows tax teams to act confidently as conditions change. As Pillar Two, CFC, and other BEPS-related requirements are updated, or interpreted differently across jurisdictions, tax teams can quickly adjust reporting, identify gaps, and maintain compliance.

 

By embedding AI into their tax processes, organisations turn a traditionally manual, rigid, and compliance-driven function into a strategic capability, where insights emerge faster and decisions are more defensible. In a global tax landscape defined by uncertainty, AI is more than an efficiency tool. It becomes the backbone that allows tax teams to consolidate fragmented data, standardise across jurisdictions, and respond immediately to evolving rules and interpretations.

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