By Sharon Schön, VP Partnerships, PWN Global 

The most consequential question AI raises for boards is not how much faster we can analyse information. It is whether we still know how to exercise judgement when the answers arrive almost instantly. 

That is not a case for trusting instinct over evidence. It is a case for combining evidence with context, professional scepticism and the discipline to verify before reaching a conclusion. 

Imagine sitting in a board meeting. The CFO presents the results. The papers are comprehensive, the explanations sound convincing, and the discussion moves on. But have you understood what the numbers are really telling you? Have you challenged the assumptions behind them? And do you know which question has not yet been asked? 

AI is making it easier to find answers. It is also raising the stakes for those responsible for asking the right questions. 

The moment the presentation changed 

Trevor Brown knows a thing or two about boardrooms. He chaired the Deloitte Africa Board for three consecutive terms, serves on the board of JSE-listed Bidcorp and brings more than four decades of accounting experience. 

When Trevor joined our PWN Global Women on Boards Circle to explore how board members should read financial statements, he had planned to walk us through the subject. Then he tested AI against Bidcorp’s reporting. 

The results were impressive. One platform produced an analysis in minutes. A second reviewed that analysis and identified issues it had missed. 

Trevor changed his presentation. 

The question was no longer simply how board members should read an annual report. It was this: if AI can analyse the information, what does the board member bring that the machine cannot? 

His answer was not that AI had little to offer, nor that experience automatically makes a human superior. It was more demanding than either position. 

The difference lies in judgement. 

A good question is only the beginning 

Trevor put the distinction to the test by comparing the questions AI raised about Bidcorp’s financial position with those he would ask himself. 

There was considerable overlap. AI identified issues worth exploring, and one of its questions exposed an opportunity for the company to explain its reporting more clearly. But it also pursued a refinancing concern that the report had already addressed. Another concern needed to be weighed against the company’s established approach and wider context. 

The lesson was not that AI got everything wrong. It did not. Nor was it that Trevor had all the answers simply because he had decades of experience. 

The lesson was that identifying a potential issue and understanding its significance are two different things. 

A board member must establish whether the information supports the concern, whether management has adequately explained it, what the wider circumstances reveal and whether further challenge is needed. Sometimes the right response is to escalate. Sometimes it is to probe further. Sometimes the evidence changes the question altogether. 

AI can help surface the question. It cannot relieve the board member of the responsibility to judge the answer. 

The conductor’s advantage 

Trevor’s explanation draws on a memory of his father, a musician and conductor. 

As a schoolboy, he watched his father read an orchestral score and hear the music unfold in his mind. Trevor could read the notes, but he could not yet hear the whole composition. His father could see how the instruments related, recognise what was out of place, and understand how each part contributed to the whole. 

Over time, Trevor developed a similar instinct for financial statements. He learned to hear the story behind the numbers: the company’s performance, its position, and its cash flows. 

AI can now read that score with extraordinary speed. It can identify movements, compare periods, and flag what appears unusual. But a board is not a collection of isolated figures, and a company is not a spreadsheet. 

The board member must understand how the parts connect, what matters to the business, and when to intervene. That calls for more than analysis. It calls for judgement informed by experience, questions tested against evidence, and an understanding of the consequences of a decision. 

AI can help you read the score. You are still the conductor. 

The responsibility has not changed 

The implications extend well beyond financial reporting. 

Boards are increasingly asked to oversee decisions shaped by AI, from strategy and investment to risk, people, and operations. Board members do not need to become technical specialists in every system management use. They do need to understand the assumptions, limitations, and risks behind the information presented to them. 

That means asking better questions. What evidence supports this recommendation? What assumptions have been made? What might the analysis have missed? What would change our conclusion? Who is accountable if the decision is wrong? 

These are not questions to ask for the sake of appearing rigorous. They are the means by which a board tests whether a recommendation deserves its confidence. 

The board member’s role is not to compete with AI on speed or volume of information. It is to ensure that the information is understood, challenged, and used responsibly. 

The distinction matters because accountability remains human. Software does not carry a board member’s fiduciary duties, answer to shareholders or stakeholders, or take responsibility for the consequences of a decision. The board does. 

Judgement is a practice, not a title 

There is a further lesson here for aspiring board members and those who do not come from a finance background. 

You do not need to be an accountant to contribute meaningfully to a board’s scrutiny of financial information. You do need the confidence to ask questions, the discipline to follow the evidence, and the humility to recognise what you do not yet understand. 

AI can help make complex information more accessible. Used well, it can give board members a stronger starting point and help them prepare more effectively. But accessibility should not be confused with mastery, and a fluent answer should never be mistaken for a verified one. 

Trevor’s approach points to a practical discipline: read the material, ask deeper questions, challenge the initial explanation, verify the evidence, and then exercise judgement. 

The sequence matters. If board members accept an AI-generated conclusion without checking it, they have simply outsourced their thinking. If they use the technology to test their own assumptions and sharpen their questions, they can strengthen it. 

Experience still matters, but it is not a substitute for curiosity. Equally, curiosity without the discipline to verify can lead a board down the wrong path. Good judgement develops when board members bring the two together and remain willing to change their minds when the evidence demands it. 

The future belongs to board members who can think 

The debate about AI and the boardroom is often framed as a contest between human expertise and machine capability. That misses the more important question. 

As machines become better at analysing information, the value of a board member will depend increasingly on what happens after the analysis: the quality of the questions, the ability to distinguish signal from noise, the courage to challenge, and the judgement to decide. 

The answer is not to resist the technology. Nor is it to defer to it. 

It is to become more capable of using it without surrendering the responsibility that comes with the boardroom seat. 

The machine can read the score. It can even point out a note that sounds wrong. But it takes a conductor to understand the whole performance, decide what needs attention, and lead the orchestra. 

That is the work of a board member. And it has never mattered more. 

Continue the conversation 

PWN Global’s Women on Boards Circle supports members preparing for board roles and those seeking to strengthen their contribution through expert sessions, peer learning, practical resources and an international network. 

Explore the Women on Boards Circle, PWN Global programmes or individual membership. 

For organisations committed to balanced leadership at the board level, contact the Corporate Partnerships team and me.