Unprecedented action by the world’s governments requiring more tax transparency forced tens of thousands of global businesses to rebuild their approach to tax compliance and tax operations without a blueprint. Now, businesses are taking important lessons learned from that experience as they prepare for more change.
First and foremost, businesses need robust data management strategies, with centrally collected and managed data sources, to support tax reporting requirements. Governments are becoming more sophisticated consumers of data, and their appetites are only going to increase, especially as they move to a wide range of real-time filings, with a goal to include income taxes. The demand for tax data already covers a wide range of sources including e-invoicing, CbCRs and TP files, and governments are now sharing that information at record rates. Businesses exposed to BEPS Pillar Two have the added challenge of working with dozens of new data points to calculate global minimum taxes.
Soon, information will flow seamlessly into tax authorities, much like government e-invoicing. This will not eliminate hard-copy tax returns overnight, but it will lead to increased automatic information sharing, fundamentally changing tax management. Yet many businesses still manually produce and submit tax returns. Tax accounting teams must improve record-keeping, meet structured data requirements and collect more refined information about various financial affairs. And in the future, with data going straight to tax authorities, companies will need to validate data much earlier in the process, marking a significant shift in their approach to tax compliance.
This will become even more important as GenAI use cases grow and governments look to make use of GenAI to improve data collection. The good news is that having useful data can also help businesses gain insights about how taxes are affecting their own operations, which can improve the bottom line. And it can help businesses integrate GenAI into their own affairs, which can free tax talent to work on higher-level tasks and bring even more value to their C-suites.
Second, consider making transparency a tool. Much of the focus the last decade has been on the scramble to comply with new reporting requirements. Increasingly, however, businesses are discovering that being more transparent about their tax affairs can create goodwill with investors and other stakeholders. This is especially true in helping to fulfill corporate sustainability objectives and other community-based initiatives. Enhanced disclosures can also improve standing with tax authorities, many of which offer compliance assurance programs that reward good-faith transparency with more certainty around tax controversy.
Third, it’s essential to be consistent. A company’s tax data should align with what it is telling others about itself. The amount of available data today is staggering, driven by social media and online reporting. Businesses are at the center of this data explosion. This wealth of data offers insights into business operations and individual activities. Although access to this data varies by country, its potential for comprehensive analysis is enormous. As GenAI and other technologies advance, we can expect sophisticated tools to emerge that will dissect this information, offering detailed snapshots and cross-checks of company activities. Inconsistencies will create vulnerabilities and risk.
Finally, good governance is absolutely critical to managing this more transparent era. Strong yet flexible governance frameworks can anchor organizations in their core values, including their approach to tax and ESG transparency. It’s also essential to secure better data and data management and oversee the ethical integration of GenAI. And, like the good-faith efforts to proactively cooperate with tax authorities which have more information than ever, a strong governance structure that is acknowledged by authorities can reduce tax risk and controversy overall.