On AI cost and AI accuracy
Articles and how-to guides for the people who sign off AI spend and the people who answer for AI output. Plain method, sources linked, no prices that will be out of date by next month.
AI Cost
Seats or tokens: are your AI licences paying for themselves?
Most organisations now pay for AI twice: per seat for the assistants their people use, and per token for the systems their developers build. Nobody compares the two, so nobody knows which half is the expensive one.
George McKenna, 1 October 2026Article · 8 min readWhat actually drives an AI bill: the levers behind one number
An AI invoice arrives as a single figure, but it is the product of half a dozen separate decisions. Model choice, output length, hidden reasoning, caching and timing can each move the same workload's cost several times over.
George McKenna, 1 October 2026Guide · 9 min readHow to build an AI spend forecast your finance team will sign off
A step-by-step method for turning AI invoices into a forecast by workload: what to collect, how to measure each job, how to price the alternatives and how to present a budget that survives a finance review.
George McKenna, 1 October 2026AI Accuracy
What the AI hallucination cases mean for any firm that signs AI-drafted work
Courts and tribunals on both sides of the Atlantic have now ruled on AI-generated errors. The pattern is consistent: the tool is never the defendant. Whoever put their name to the output answers for it.
George McKenna, 1 October 2026Article · 8 min readAn accuracy score is not evidence: how to measure AI output so the result stands up
"Our AI is 95% accurate" answers none of the questions an auditor will ask. Measured against what? Counting what? And what about the facts it left out? Here is what the research says a defensible measurement looks like.
George McKenna, 1 October 2026Guide · 9 min readHow to check an AI-written document against its sources, claim by claim
A step-by-step method for verifying a summary, report or letter drafted by AI: fixing what you check, breaking it into claims, finding the evidence, giving honest verdicts, looking for omissions and keeping a record that stands up later.
George McKenna, 1 October 2026See it on worked material, then on yours
Thirty minutes with the team that runs Analect: the AI Spend Forecast and the Accuracy Evidence File on worked examples, and what either would look like on your bills or your outputs.