AI agents are becoming increasingly capable of supporting tax due diligence, with the ability to review documents, summarise information, identify anomalies and draft reports. However, as these capabilities develop, TAINA Technology‘s latest analysis argues that firms face a new challenge of ensuring professionals can effectively manage and evaluate AI-driven work.
In an analysis written by Richard Kent, TAINA Technology highlights that the future value of AI in tax due diligence will depend not only on adopting the technology, but on developing the skills needed to oversee it.
Tax due diligence has traditionally relied on human expertise developed through understanding legislation, identifying risks and applying professional judgement. While AI can process information quickly, the analysis argues that human oversight remains essential because AI-generated conclusions can appear credible while still being incorrect.
The analysis highlights that firms are increasingly moving towards a model where leaders manage people, and people manage AI agents. This creates a leadership challenge that combines people management, quality assurance and critical thinking.
Unlike traditional software that follows fixed instructions, AI agents interpret, reason and prioritise information. This means professionals need to understand how AI reaches conclusions and recognise when outputs require further review.
TAINA Technology argues that maintaining a strong foundation in first principles remains important for tax professionals. Understanding transaction structures, tax concepts, legislative intent and commercial context allows professionals to challenge conclusions rather than simply accept them.
Without this understanding, managers may struggle to identify when an AI agent has missed a significant risk, misunderstood a fact pattern or reached an incorrect conclusion. The analysis also highlights the possibility that users may place too much trust in outputs because they appear authoritative.
As AI becomes more integrated into due diligence processes, the role of human judgement remains central. While AI agents may identify numerous potential tax issues during a review, professionals are still responsible for determining which issues are material, which are false positives, what additional evidence is required and how findings should influence a transaction.
This shift also changes what firms need from future managers. Alongside technical expertise and people management, teams will need to develop the ability to direct, challenge and assess AI-generated work by asking effective questions, verifying conclusions, understanding limitations and recognising when human involvement is needed.
TAINA Technology compares AI agents to exceptionally fast graduates that can process large volumes of information and produce strong first drafts, but still require review, challenge and oversight from experienced professionals.
According to the analysis, firms that gain the most from AI will not necessarily be those with the most advanced tools, but those that develop the capability to manage them effectively.
Read the full TANIA Technology analysis here.
Copyright © 2026 RegTech Analyst
Copyright © 2018 RegTech Analyst
