Rising tax compliance demands pressure companies across markets

October 14, 2026 ESTELA 3 min read

Deloitte reports that 40% of global tax and finance leaders identify rising compliance requirements as the main factor affecting their companies’ operations.

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The digitization of tax enforcement is increasing demands on companies, which must manage more information and respond more quickly to regulatory changes.

The growing complexity of tax compliance is prompting companies to review their accounting and technology processes to meet increasing requirements for information, validation, and traceability. The pressure is particularly significant for organizations operating across multiple markets, where regulatory obligations and deadlines may vary.

According to Deloitte’s 2026 Global Tax Policy Survey, 40% of global tax and finance leaders identify increasing compliance requirements as the main factor affecting their companies’ operations. In addition, 85% expect AI-powered tax compliance software to have a positive impact on their organizations.

Against this backdrop, tax compliance automation is gaining relevance as a way to integrate information, detect inconsistencies before filing returns, and reduce the operational burden associated with manual reviews.

Jorge Sánchez, CRO at ESTELA: “Given the new tax landscape, technology is no longer just an operational tool but has become a strategic component of compliance, making it possible to optimize resources, reduce administrative burdens, and gain greater visibility and control over tax obligations, particularly for organizations operating in markets with different rules and timelines.”

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Automation helps identify inconsistencies early.

Digital tax compliance transforms tax compliance by integrating and standardizing different stages of the process, from calculating and validating information to reconciling records, generating documents and reports, and reviewing data before submission to the tax authority.

One application is the use of validation rules to identify discrepancies between records, incomplete fields, mismatched data, or transactions that fail to meet predefined criteria. These mechanisms can generate alerts so that those responsible can review inconsistencies before submitting the information.

Jorge Sánchez: “In a manual process, an inconsistency may be discovered during an internal review or, in the worst-case scenario, after the information has been submitted. With automated validation and reconciliation mechanisms, organizations can identify discrepancies earlier and turn regulatory complexity into simpler, automated, and more efficient processes.”

In addition to facilitating early error detection, tax automation can reduce the time spent on repetitive tasks and allow teams to focus their efforts on activities that require specialized analysis.

This capability is particularly relevant for organizations that handle large volumes of transactions and need to compare, validate, and reconcile tax documents systematically.

Operating across multiple markets increases complexity.

International expansion adds further demands to tax compliance. Each jurisdiction may establish different obligations, deadlines, reporting formats, and provisions, making it difficult to maintain consistent processes and respond promptly to regulatory changes.

In this context, technology tools make it possible to integrate information and reduce reliance on manual procedures. For companies operating in several countries, automated processes also facilitate the monitoring of obligations and adaptation to regulatory changes.

The challenge is not simply to comply with current provisions, but also to have processes capable of adapting when those provisions change without compromising the consistency or timeliness of tax information management.

Artificial intelligence requires human oversight.

The adoption of artificial intelligence (AI) expands the analytical capabilities of digital tax compliance. These tools can examine large volumes of information, recognize patterns, detect inconsistencies, and generate alerts more quickly, helping teams prioritize cases that require specialized review.

85% of leaders surveyed by Deloitte who work in tax and finance worldwide expect AI-powered tax compliance software to have a positive impact on their organizations. Its applications include identifying relationships, patterns, or inconsistencies that might go unnoticed in a conventional review.

However, automation does not eliminate the need for professional judgment. Identifying potential risks must be complemented by specialized knowledge and oversight mechanisms that make it possible to assess the results of the analysis.

Jorge Sánchez: “Artificial intelligence adds an analytical layer that can make tax compliance more efficient and predictive, but it needs to be accompanied by oversight, criteria, and controls that turn data into reliable decisions.”

The benefits associated with these tools include reducing repetitive tasks, identifying risks earlier, improving process traceability, and increasing the ability to respond to different regulatory requirements. They can also help prioritize reviews and strengthen the standardization, transparency, and auditability of procedures.

Ultimately, the evolution of digital tax compliance combines the technological ability to process information at scale with the human involvement needed to interpret results, oversee controls, and take responsibility for decisions.

This integration is increasingly relevant for companies seeking to manage their tax obligations in a changing regulatory environment while operating across multiple markets.