The Board in the Machine
Podcast
Mostly the audio edition of the writing: articles on AI, governance, and the boardroom, read and expanded for the road. New episodes monthly.
Browse the episodes (39)
Not Everything Needs AI: The Questions That Come Before the Decision
8 minute · The audio edition of the article.
Episode notes
Not Everything Needs AI: The Questions That Come Before the Decision
Boards keep being told to remake the business around AI. The real question is not which tool, but whether the work needs doing at all.
As much as a fifth of an enterprise application estate turns out to be no longer useful once someone finally asks who still uses it. The same is true of the work itself, and it is the reason the first question about AI is never which model to choose.
In this episode of The Board in the Machine, Mario Thomas, Chartered Director and Fellow of the Institute of Directors, takes up the question left open by The Great Remaking. If the business is being remade around AI, what exactly gets remade, what gets remade with a model, and what is left alone. The mandate is settled. The judgement inside it is not.
Asked at the IoD Chartered Director Conference how he decides which AI to use, he declined the premise. He starts with three questions instead: what are you trying to do and why, how do you do it today and does it still need doing, and only then, why do you think you need AI at all. The second is the one that does the real work, because it is where a business hears itself describe a piece of work that stopped making sense years ago. He works through a task from his own practice that looked like an AI job, was built as one, and returned a different answer almost every run, until a few lines of ordinary code did it correctly every time for a fraction of the cost.
This episode is for directors, chief executives, and the Boards deciding where AI belongs and where it does not. Better business judgement produces better AI decisions. The willingness to say no is what makes every yes credible. Read the full article at mariothomas.com
Read the article →AI and the CEO: Choosing the Bets That Matter
12 minute · The audio edition of the article.
Episode notes
AI and the CEO: Choosing the Bets That Matter
AI can build, deliver, and draft, yet the chief executive still chooses and still answers. Accountability for the bets does not move.
Most chief executives report no revenue gain and no cost saving from AI, while a fifth of organisations capture nearly three quarters of the value. That gap, between spending on AI and choosing well, is the working condition of the modern chief executive.
In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — works through what AI changes about the chief executive’s role, and what it leaves exactly where it was. The conditions of the work have changed. The duties have not.
He sorts the role into the duties AI now presses hardest. The dominant one is strategic: under the noise, the chief executive must choose the few bets that matter, because the value is won or lost in that choice, not in how much is spent. The operational duty is to change how the company actually works, since there is no credit for buying AI, only for redesigning the work around it. The market duty is to signal adoption without overclaiming, a line where company law and the regulators now reach the individual personally. And beneath all of it sits the leadership work AI barely touches: setting the aspiration, holding the line, and bearing the accountability.
This episode is for chief executives, chairs, and the boards and directors who hold them to account, working out where AI belongs in the role and where it does not. AI changes who builds and who signals. It does not change who answers. Read the full article at mariothomas.com
Read the article →The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites
11 minute · The audio edition of the article.
Episode notes
The AI Sovereignty Trilemma: When a Frontier Model Vanishes and Reality Bites
The visible cost of sovereignty deters Boards. The hidden cost of the convenient alternative was never shown, and that is the cost 12 June presented.
On 12 June 2026, a single government directive forced a leading AI provider to withdraw two frontier models from every customer overnight, including organisations the order was never aimed at. For anyone who had built a process on those models, the capability did not degrade. It disappeared.
In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — takes the AI Sovereignty Trilemma he set out last year and shows it resolving from a structural argument into a dated, documented event.
He separates the visible cost of sovereignty, which is that sovereign capability is dearer, from the hidden cost of the convenient alternative, paid in lost control and invisible until it is tested. He explains why a compelled model recall is not an outage but the removal of a capability by a party the Board has no standing to appeal to, and sets out the questions a Board should be able to answer without a special exercise: which deployments depend on a single model, what the fallback is, and whether it would survive the specific event.
This episode is for directors, chairs, and executives who need to know where the same exposure sits in their own organisation, and whether they chose it or defaulted into it. Read the full article at mariothomas.com
Read the article →AI and the CFO: Standing Behind the Numbers the Machine Produces
13 minute · The audio edition of the article.
Episode notes
AI and the CFO: Standing Behind the Numbers the Machine Produces
AI can run the close, sharpen the forecast, and operate out of sight, yet the CFO still signs. Accountability for the numbers does not move.
Only a fifth of finance leaders judge their function ready for AI, yet most already treat it as central to how finance will work. That gap, between commitment and readiness, is the working condition of the modern CFO.
In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — works through what AI changes about the finance chief’s role, and what it leaves exactly where it was. The doing of the work can move to a machine. The accountability for it cannot.
He sorts AI’s effect on the role into four honest groups: the routine numbers work where a machine does the heavy lifting but a human still signs; the forecasting and capital decisions where AI sharpens the judgement without making the call; the shadow AI spreading across the business that the finance function cannot yet see; and the core of going concern, audit, and attestation that AI barely touches. Under the Companies Act and the FRC’s 2024 Code, the signature on the accounts stays human.
This episode is for CFOs, chairs, audit committee members, and the directors who rely on them, working out where AI belongs in the finance function and where it does not. AI changes who produces the numbers. It does not change who signs for them. Read the full article at mariothomas.com
Read the article →Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier
17 minute · The audio edition of the article.
Episode notes
Ontologies and Knowledge Graphs: Why Structure is the Next Data Frontier
Quality tells the organisation whether data is reliable. Structure tells the machine what it means, and structure is where durable AI advantage is now decided.
Most organisations have made their data reliable. Far fewer have made it explain itself, and that distinction is becoming the one that separates organisations that can reason with AI from those that can only retrieve with it.
In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — argues that the next frontier in creating durable AI value is structure: the ontologies and knowledge graphs that make the relationships between an organisation’s customers, contracts, suppliers, and decisions explicit enough for a machine to reason over rather than merely summarise.
Drawing on his own experience building an early knowledge graph from a regional newspaper archive in 1998, he shows why data quality and data structure answer two different questions, why the definitions encoded in a knowledge graph now carry the weight a chart of accounts has always carried, and why scalable proof under the FRC’s 2024 Code and the Data (Use and Access) Act 2025 depends on structure rather than quality.
This episode is for directors, chairs, and executives working out why their AI programmes stall, and what their data strategy assumes about structure. Read the full article at mariothomas.com
Read the article →AI and the Company Secretary: Operating the Boundary the Chair Polices
16 minute · The audio edition of the article.
Episode notes
AI and the Company Secretary: Operating the Boundary the Chair Polices
Board packs, agendas, and minutes now reach directors composed by systems the secretary cannot fully interrogate. The chair polices the boundary; the secretary operates it.
The information environment directors now use to make decisions is increasingly composed by AI systems whose framing decisions are not transparent. The company secretary is the only person with line of sight to the difference, and increasingly even the secretary cannot fully see it.
In this episode of The Board in the Machine, Mario Thomas — Chartered Director and Fellow of the Institute of Directors — examines how AI is remaking the company secretary’s role at the operational seam between board administration and the company’s disclosure obligations. He walks through four failure modes inside board administration, the personal exposure created by AI disclosure under the FRC Code and the EU AI Act, and the bifurcation between secretaries with genuine AI capability and those with only accumulated credentials.
The argument draws on the November 2024 GC100 minute-taking poll conducted with Norton Rose Fulbright, which found that 92% of 106 companies surveyed had not introduced AI to assist with minute-taking and 84% had no internal policy on its use; the McKinsey Global Board Survey 2024, which reported that 66% of directors say their boards have limited to no knowledge or experience with AI; PwC’s 2025 Annual Corporate Directors Survey; and the 2026 Protiviti and BoardProspects Global Board Governance Survey. Against that evidence the episode frames the secretary’s real choice through Mario’s Six Board Concerns and the constitutional principle Cadbury named in 1992 and the FRC’s 2024 Code carries forward.
This episode is for company secretaries, chairs, and non-executive directors working through the operational reality of AI governance under the FRC Code and the EU AI Act. Read the full article at mariothomas.com
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