A View From Both Sides of the Same Equation
Most people writing about artificial intelligence and the future of professional work are doing it from the outside, watching the hype cycle from a safe distance and offering predictions about where it all leads. Ademola Odewade is not one of them. Since July 2026, the chartered accountant and founder of K-Dems Consulting has worked continuously as a contracted expert evaluator for a frontier AI evaluation marketplace, grading the output of advanced AI systems on finance and business reasoning and writing the rationales that explain exactly why a wrong answer is wrong.
It is an unusual vantage point, and one Odewade has earned rather than claimed. He has been promoted across three successive engagements in three months, moving from generalist evaluator to office expert, and he earned certification in AI agent evaluation in September 2026. The result is that he sits on both sides of the same equation at once. In his own business, he is automating professional work with AI agents. At the same time, he is selling his professional judgement to the labs building the systems that may eventually take over parts of that same work. Few people writing or speaking about AI in finance right now can say the same.
What the Evaluation Work Reveals
What he has found from inside that work does not match the popular narrative. Over roughly two years, Odewade has watched evaluation work move up four rungs. It started with simple data labelling, then progressed to grading model output, then to writing the rubrics other evaluators grade by, and now includes designing the tests these systems fail. Every rung up has demanded more judgement, not less, and every rung has paid more.
Along the way, Odewade has noticed a pattern that cuts against conventional career wisdom. Narrow expertise beats seniority. A specialist who is eight years deep in one domain is worth more to a frontier AI lab than an impressive generalist executive with a broader resume. The skill being priced is not how much someone knows. It is whether they can explain, clearly and specifically, why a wrong answer is wrong. That is a much rarer capability than it sounds, and it is the one Odewade has built his second act around.
From Big Four Training to Founder-Led Businesses
That distinction, between knowing and being able to verify, sits at the center of Odewade’s professional life and long predates his AI evaluation work. Before moving into that space, he spent eight years in professional practice, first at PwC and later at KPMG, where he built the technical grounding in financial controls, audit discipline, and governance that now shapes everything he does as a consultant. Leaving that world to found K-Dems Consulting in London in 2025 meant giving up the built-in credibility of a major firm’s name on an email signature. The standard of work stayed the same. The assumption of competence that came free with the letterhead did not.
K-Dems exists to close a specific gap. Odewade works with small and mid-sized businesses and founder-led companies that need the same enterprise-grade financial discipline as a large corporation but operate with a fraction of the resources. Often that means no internal audit function, no dedicated transformation budget, and a finance team of one or two people covering every responsibility at once. Bringing Big Four-caliber rigor into that kind of environment, without the Big Four-sized budget, is the translation problem Odewade has spent his consulting career solving.
The Governance Gap in Finance
Odewade’s central argument is that AI capability in finance has pulled well ahead of AI governance, and that the gap between the two is where real damage is likely to happen over the next two years unless leaders start treating artificial intelligence as a leadership decision rather than a purely technical one. Removing a human review step because a language model seems capable enough is, in his view, one of the more dangerous quiet decisions a finance leader can make, because the consequences in finance are rarely minor. A restatement, a failed audit, or a funding round that collapses under diligence are not inconveniences. They are the kind of failures that follow a person’s name.
That argument runs through his first book, Human-Led, AI-Powered Finance: The CFO and Founder’s Playbook for Smarter Decisions, Stronger Controls and Scalable Growth. The book is built around a framework he calls ACCOUNT, designed to help finance leaders decide what work to hand to a machine, what to keep firmly in human hands, and, critically, where to place the controls that catch a problem before it reaches a board or a regulator. His second book, The AI-Powered Future of Work, publishes in October 2026 and extends the same thinking to individual professionals rather than organizations, introducing a companion framework called EXPERT for people trying to figure out how to position themselves as AI reshapes their industries.
A Growing Platform
Odewade’s reach extends beyond consulting and publishing. He hosts two podcasts, The King Dems Podcast and Diary of a CFO, both independently ranked in the global top 2 percent on ListenNotes. Guests across the two shows have included Professor Dave Ulrich of the University of Michigan’s Ross School of Business and Dr. David Rock of the NeuroLeadership Institute, among other senior voices in leadership and organizational strategy. Across more than 200 combined episodes, the shows have reached listeners in over 130 countries, giving Odewade a direct line to the finance and leadership audience his written work is aimed at.
Taken together, the AI evaluation work, the consulting practice, and the two books point toward a consistent underlying message. In a market where anyone can now produce fluent, confident, and plausible content with a few prompts, the scarce and increasingly valuable asset is a person whose judgement can actually be checked. Odewade’s pitch to finance leaders and professionals alike is not that AI should be avoided or blindly adopted. It is that the organizations and individuals who will come out ahead are the ones who get precise, early, about where human judgement still belongs.
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