Structural Correction

Chapter 13: What to Demand Before Anything Else

Six questions a board should ask before any AI investment. Structured as a dramatised interrogation in which an audit committee chair asks each question and the CTO’s inability to answer constitutes a finding.

The audit committee met quarterly, but this session had an additional item. The chair, Elena, a non-executive director who had spent thirty years in operational finance and joined the board twelve months earlier, had read the AI readiness report management circulated the previous week, fourteen pages, and had three questions written on a folded sheet in front of her.

The CTO was present, which was unusual, and the CFO sat beside him while the chief risk officer attended by video from Singapore. The secretary had reserved ninety minutes; Elena suspected they would need less.

She had approved the previous two quarterly board packs herself, signed off the capability map six months earlier without asking the architect's question, and once accepted “integration testing” as an answer to a timeline question she should have pressed. The folded sheet would expose a gap she had helped maintain.

Elena opened her sheet and read the first question. Six demands define the minimum preconditions for any AI system that reads the organisation's own artefacts to produce trustworthy output. Without them, analytical synthesis is indistinguishable from hallucination: an organisation that points AI at its own data without process ownership, versioned definitions, and contract inventories has adopted the writer path under a different name, not the reader path. The same preconditions are becoming the minimum standard for explaining automated decisions to people who do not report to you. Outsourcing a model does not outsource the accountability: the organisation still owns the business process, and the evidence trail when something goes wrong. If it cannot name the process, the owner, the interfaces, and the observed behaviour, the only remaining control is narrative, which is efficient right up to the moment scrutiny arrives with logs. These corrections are redistributions of authority, accountability, and information, and the demands apply now, to the next board pack, without waiting for structural change to complete.

“Before we discuss AI readiness,” the chair said, “I want to understand what we are building on. Can you show me a list of our core business processes, ranked by revenue contribution and risk exposure, with a named owner for each?”

The CTO glanced at the CFO, who quietly opened his laptop. “We have a capability map. Forty-two capabilities across five domains.”

...

See also: Full contents · Preview chapters · Illusions of Work