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Valuing AI: The Case for Cognitive Capital in Finance

In thirty years of working across finance, operations, and strategy, I have seen companies obsess over assets they can touch, measure, or depreciate. Tangibles have always dominated the language of balance sheets. Buildings, equipment, inventory fit neatly within accounting frameworks. But in an age where intelligence compounds faster than capital, we must ask: what happens when the most valuable asset in your business is not physical but cognitive? Having implemented enterprise resource planning systems, designed business intelligence architectures, and led financial planning and analysis across organizations that scaled from nine million to one hundred eighty million dollars in revenue, I have witnessed how companies invest millions in artificial intelligence systems yet treat them as operating expenses rather than strategic assets. The rise of artificial intelligence, particularly generative models and autonomous agents, has changed the nature of how companies operate, decide, and create value. Yet our financial statements remain stubbornly anchored in an industrial worldview. This article argues for artificial intelligence models to be considered akin to amortizable research and development or long-term intangible assets, and explores valuation frameworks that CFOs can use to communicate the strategic value of cognitive capital to boards and investors.

How AI is Redefining Financial Analyst Roles

The modern finance function is undergoing a quiet revolution. Not a loud disruption but a silent shift in how work gets done, how insight is created, and how value is defined. After three decades working across the spectrum of finance from high-growth SaaS to freight logistics, from edtech to adtech, I have watched this shift build over time. I have led financial planning and analysis teams through market crashes, product pivots, and boardroom resets. But what is happening now, catalyzed by intelligent AI agents, is something fundamentally new. This is not just automation. It is the slow but certain extinction of what we once called the average analyst. The role we built around downloading data, checking formulas, preparing variance tables, and formatting decks is vanishing. And it should. AI agents now do all of that, and they do it faster, more accurately, and without ever asking for time off. Throughout my career implementing enterprise systems from NetSuite to Oracle Financials, building KPI frameworks using MicroStrategy, Domo, and Power BI, and reducing month-end close from 17 days to under six days, I have observed how technology transforms finance operations. But AI represents something fundamentally different. It flips the equation from execution to judgment, from preparation to synthesis, from output volume to decision velocity.

Enhancing Supply Chain Resilience through Scenario Modeling

In the lexicon of enterprise risk, supplier due diligence has traditionally been a low-velocity function, emerging during onboarding, surfaced again during audits, and usually buried in checklists that say more about compliance than about consequence. But the world in which those static checklists were useful is gone. We now inhabit an interdependent lattice of cyber exposure, geopolitical volatility, financial contagion, and environmental and social governance scrutiny, each variable amplifying the next, and each capable of rendering even a vetted supplier unexpectedly fragile. Having managed supply chain analytics for a one hundred twenty million dollar logistics enterprise, negotiated master service agreements spanning years and tens of millions in cumulative volume, and implemented production and inventory management systems across multiple organizations, I have learned that supplier fragility does not announce itself with spreadsheets. It accumulates in shadows through financial strain, cyber lapses, or indirect exposure to secondary geographies under duress. This essay explores how complexity-informed due diligence frameworks combined with scenario modeling can transform supplier risk management from compliance exercise to strategic capability.

The CFO’s New Co-Pilot: How AI Assistants Are Rewiring Daily Decision-Making

If the twentieth-century CFO was the steward of capital, and the early twenty-first-century CFO became the strategic partner to the chief executive officer, today’s CFO is undergoing yet another transformation, augmented by a new kind of teammate. Enter the artificial intelligence co-pilot: a digital assistant not confined to spreadsheets or dashboards but capable of contextual understanding, pattern recognition, and real-time recommendation. Having led finance organizations across three decades, implementing enterprise resource planning systems, business intelligence platforms, and financial planning automation that improved month-end close from seventeen days to under six days and increased revenue recognition accuracy by twenty-eight percent, I have witnessed multiple waves of technology transformation. But artificial intelligence assistants represent something fundamentally different. They are not replacing finance leaders. They are rewiring how we make decisions, where we focus time, and how quickly we convert data into action. This article explores how artificial intelligence co-pilots are becoming indispensable to finance teams that must navigate increasingly volatile, complex, and compressed business cycles.

The Future of Procurement: Unlocking Value Beyond Savings

In the corporate vocabulary of value creation, few words have worn as many masks and borne as much unrecognized weight as procurement. For decades, the function has been framed as a cost sentinel, an operational service line whose metrics of success were measured largely in terms of negotiated discounts or cost containment. But such a framing is not only antiquated, it is strategically inefficient. When procurement is relegated to a tactical afterthought, companies overlook a rich reservoir of insights, leverage, and innovation that lies dormant within their supplier ecosystems. Having led procurement optimization, negotiated master service agreements ranging from three hundred thousand to over twenty million dollars, managed supply chain analytics for a one hundred twenty million dollar logistics enterprise, and implemented production and inventory management systems across multiple organizations, I have seen how the procurement function, when properly empowered, can emerge not as a ledger entry but as a forward-deployed arm of enterprise strategy. That transformation begins with a shift in mindset: treating procurement not as a center of cost but as a center of value. This article explores how to reframe procurement from transactional execution to strategic value creation, and how CFOs can operationalize spend management that drives not just savings but resilience, innovation, and competitive advantage.