Corporate Financial Planning

Finance team reviewing financial reports and charts at a desk, representing the credit analysis behind banking fraud detection.

Banking Fraud Detection: Spotting Financial Weakness Early

Banking fraud detection systems set out to catch a narrow category of behavior. This includes falsified invoices, layered wire transfers, and account takeover. Across finance leadership roles spanning cybersecurity, consumer products, and mission-driven institutions, one pattern recurs. The same detection architecture is tuned for anomaly recognition. It now reads a far wider signal set than the fraud it originally targeted. Banks do not merely listen to what a borrower says. They watch accounts payable stretch, receivables age, and borrowing base headroom erode. Often, this happens weeks before leadership notices the pattern in its own numbers.

Controlled plume launch symbolizing the momentum and risk of choosing the right ASC 606 milestone method for revenue recognition.

ASC 606 Milestone Method: Choosing Between Time, Output, and Percentage of Completion

Revenue recognition timing is rarely the technical afterthought many finance functions treat it as. Under ASC 606, once a contract qualifies for recognition over time, the harder question begins. Does the pattern of value delivery track the calendar, or does it track discrete deliverables and milestones? The ASC 606 milestone method and the percentage of completion method ASC 606 permits are not interchangeable defaults. Each reflects a different theory of how a customer receives value. Choosing the wrong one distorts the story a company tells investors, lenders, and its own board.

Financial growth charts and graphs with pen, representing variable consideration and revenue forecasting

ASC 606 Variable Consideration: A CFO’s Guide to Estimating What You Cannot Yet Know

Every early-stage company forecast revenue as though the best case were the only case. Then reality sets in. Customers cancel, dispute, renegotiate, and return. ASC 606 variable consideration is the accounting discipline built for that gap between the invoice and the truth. Across two and a half decades in the CFO chair, I have come to see it differently. It is less a technical footnote. It is more a test of whether finance truly understands the business it reports on.

Illustration of a caped superhero figure flying with a tablet, symbolizing confident AI-driven leadership

AI Maturity Model: A Practitioner’s Framework for Board-Ready AI Readiness

An AI maturity model gives boards and finance leaders a shared language for a question most organizations have not actually answered: not whether the company uses artificial intelligence, but whether it is structurally, operationally, and culturally ready to depend on it. Readiness has little to do with how many tools a company has bought or how many GPT-branded features a vendor has bolted onto its product. Instead, readiness comes down to how well an organization can absorb intelligence into decision-making without generating chaos, compliance exposure, or organizational drag.

Finance executives reviewing private equity exit strategy charts and performance data with a magnifying glass during a boardroom due diligence meeting

Private Equity Exit Strategies: Building the Path to a Premium Exit from the Inside

A private equity firm rarely decides its exit strategy in a single boardroom moment. The firm builds it quarter by quarter, from the day capital arrives until the day it rotates back to limited partners. Having sat inside four private equity backed companies as chief financial officer, I have come to see the exit not as an event but as a discipline, one that requires reading buyer intent, market rhythm, and internal readiness at the same time, and shaping the narrative long before a banker ever opens a data room.

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Sales Pipeline Forecasting: From Ritual to Trusted Signal

Most organizations still treat sales pipeline forecasting as a monthly checkpoint, a ritual in which numbers are presented and then defended rather than genuinely understood. Reframed correctly, the pipeline review becomes one of the most valuable diagnostic tools a finance organization has, tracing a shift away from static, stage-based forecasting toward a model anchored in velocity, conversion patterns, and observable buyer behavior. Productive friction between finance and sales strengthens forecast reliability, the Deal Desk earns a seat at the forecast table, and early bottleneck detection protects a quarter before the final numbers arrive.

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Financial Decision Making as a Strategic CFO Catalyst: How Finance Becomes the Engine of Growth

For much of the history of the corporate finance function, organizations have treated financial decision making as an afterthought. It’s been recordkeeping, mostly, reconciling a spreadsheet against outcomes it had no hand in shaping. That posture no longer serves organizations that compete on speed and precision. Across cybersecurity, gaming, consumer products, and mission-driven organizations, finance teams have too often sat outside the room where strategy takes shape. They arrive only once the numbers need explaining. A stronger model exists. It treats financial decision making as a design discipline. In this model, finance builds the dashboards, the incentive structures, and the governance systems. These tools make good outcomes more likely, before a single decision is reached.