Who Manages the AI? A New Leadership Challenge

The tax due diligence profession has always been built on expertise. We train people to understand complex legislation, identify risk, challenge assumptions and exercise professional judgement. 

Yet as AI agents become increasingly embedded in our workflows, a different question is beginning to matter: 

Who is teaching people how to manage them? 

Much of the discussion around AI has focused on capability. AI can review documents, summarise information, identify anomalies and draft reports at a speed that would have seemed impossible just a few years ago. 

For tax due diligence teams under constant pressure to deliver more with less, the appeal is obvious. 

But there is a danger in assuming that because AI can perform work, it can perform work without supervision. 

In reality, many firms are moving towards an operating model where leaders manage people, and people manage AI agents. 

The challenge is that managing agents is not the same as managing technology. It sits somewhere between people management, quality assurance and critical thinking. Like any leadership capability, it is a skill that must be developed. 

Unlike traditional software, AI does not simply follow a fixed set of instructions. It reasons, interprets, prioritises and sometimes reaches conclusions that appear entirely credible while being completely wrong. 

Anyone who has spent time working with generative AI has experienced the moment when an impressively written answer falls apart under closer inspection. This is where first principles matter. 

The best tax professionals do not simply know the answers. They understand how those answers are reached. They understand transaction structures, tax concepts, legislative intent and commercial context. That knowledge allows them to challenge conclusions rather than simply accept them. The same principle applies to AI. 

If a manager lacks a solid grounding in the fundamentals of tax due diligence, they are unlikely to spot when an AI agent has missed a critical risk, misunderstood a fact pattern or drawn an incorrect conclusion. 

Worse still, they may be tempted to trust the output simply because it sounds authoritative. 

The irony is that as AI becomes more capable, human expertise becomes more important, not less. 

The better the technology becomes, the more valuable sound judgement becomes. 

A future due diligence review may involve AI agents identifying dozens of potential tax issues within minutes. However, the real value will not come from generating the list. 

It will come from deciding which issues matter, which are false positives, what additional evidence is required and how those findings should influence the deal. That requires judgement. And judgement is built on understanding. For leaders, this creates a new responsibility. 

Developing future managers can no longer focus solely on technical delivery and people management. Teams must also learn how to direct, challenge and evaluate AI-driven work. They need to know how to ask better questions, verify conclusions, understand the limitations of AI-generated outputs and recognise when human intervention is required. 

Perhaps the simplest analogy is to think of AI agents as exceptionally fast graduates. 

They can process enormous amounts of information, produce impressive first drafts and work around the clock without complaint. 

But no experienced partner would sign off a due diligence report simply because a graduate prepared it. The work still requires review, challenge and oversight. The same standard should apply to AI. 

The firms that will gain the greatest advantage from artificial intelligence will not necessarily be those with the most advanced tools. They will be those that develop the strongest capability for managing them. 

In the years ahead, the most valuable professionals may not be the people who know how to use AI. 

They may be the people who know how, and when, to challenge it. That is not a technology challenge. It is a leadership challenge. 

If you’d like to see how TAINA can simplify and streamline your CARF and CRS compliance journey, we’d be delighted to request a demo.

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