What should a company do with billions in cash? Reinvest in growth, pay down debt, or return it to shareholders?

In this episode of Corporate Finance Explained on FinPod, we break down one of the most important decisions in corporate finance: dividend strategy. Using real-world case studies and corporate finance frameworks, we explore how companies decide whether to pay dividends and what that decision actually signals to investors.

At first glance, dividends seem simple. But once a company commits to a recurring payout, it creates a long-term obligation that fundamentally changes how the market values the business. This episode unpacks how dividends act as a powerful financial signal, shaping investor expectations around stability, growth, and future cash flow.

We dive into the core mechanics behind dividend sustainability, including payout ratios and free cash flow, and explain why profits on paper don’t always translate into real cash available for distribution. You’ll learn how disciplined companies like Coca-Cola and Procter & Gamble maintain decades of consistent dividend growth, while others struggle under the weight of poor capital allocation decisions.

The episode also explores more complex scenarios, including how cyclical companies like ExxonMobil maintain dividends through volatile market conditions, and what happens when things go wrong. Using AT&T as a cautionary case study, we examine how excessive debt and misaligned strategy can force companies to cut dividends and trigger significant market backlash.

Ultimately, this conversation reframes dividends as more than just a shareholder reward. They are a binding financial commitment that reflects a company’s confidence in its long-term cash generation, operational discipline, and strategic priorities.

If you want to better understand how companies allocate capital and what dividend decisions reveal about financial health, this episode will change how you analyze stocks and corporate strategy.

Are you solving the right problem or just solving it quickly?

In today’s fast-moving world of AI, shifting markets, and constant complexity, the biggest risk in finance and business isn’t slow decision-making. It’s solving the wrong problem entirely. In this episode of What’s New at CFI, Meeyeon sits down with Timothy Tiryaki, co-author of CFI’s new course Strategic Problem Solving, to unpack how top professionals approach complex decisions more effectively.

This conversation explores why traditional problem-solving methods are breaking down in today’s “flux” environment, where speed, uncertainty, and constant change redefine how decisions are made. Instead of rushing to solutions, strong strategists take a step back to define the problem clearly. The discussion introduces the double diamond model, a powerful framework that separates problem definition from solution development and emphasizes the balance between divergent and convergent thinking.

Tim explains why modern challenges are often not simple problems but complex dilemmas, requiring deeper analysis and better framing. You’ll learn how shifting from reactive thinking to structured questioning can dramatically improve decision quality, whether you’re working in FP&A, investment banking, corporate strategy, or any analytical role.

The episode also highlights practical techniques you can apply immediately, including how to turn problems into better questions, how to avoid common decision-making traps, and why strategic thinking is no longer reserved for senior leadership. In a world shaped by AI and rapid change, the ability to think critically and strategically is becoming a core skill for every finance professional.

If you’re making decisions where the stakes matter, this episode will change how you approach problem solving.

What happens when a company can’t access its own cash?

In March 2023, billion-dollar startups suddenly found themselves unable to make payroll. Not because their business failed, but because their money was trapped inside a single banking relationship. In this episode, we break down the hidden infrastructure behind corporate finance: the banking and treasury systems that quietly determine whether a company survives a crisis or collapses overnight.

We explore why corporate banking is far more than just holding cash. For treasury teams, these relationships act as strategic lifelines, providing access to credit, liquidity, and risk management tools when markets turn volatile. When conditions are stable, this system is invisible. But when liquidity tightens, it becomes the single most important factor in a company’s survival.

Using real-world case studies, we contrast Boeing’s ability to secure billions in funding during the COVID-19 crisis with the rapid collapse of startups tied to Silicon Valley Bank. The difference comes down to one concept: diversification. Companies with access to syndicated banking networks and capital markets gain time and flexibility. Those relying on a single institution face immediate and catastrophic risk.

We also unpack how treasury teams manage credit facilities, move cash globally, and hedge against financial volatility. From interest rate swaps to foreign exchange risk, these tools allow companies to stabilize operations even when external conditions shift rapidly. At the same time, we examine the hidden risks buried in debt agreements, including covenants that can trigger a crisis long before a company runs out of cash.

The key takeaway is simple: corporate finance is not just about revenue and profitability. It is about access, flexibility, and resilience. Strong banking relationships create optionality. Weak ones create fragility.

If you want to understand how companies truly operate under pressure, you need to look beyond the income statement and into the financial infrastructure supporting it.

In this episode of What’s New at CFI, we introduce our latest practice lab: AI Prompting for Financial Analysis, designed to help finance professionals use AI tools like ChatGPT more effectively, accurately, and responsibly.

Hosted by Meeyeon (VP of Content & Training) and featuring Ryan Spendelow (VP of Content & Curriculum at CFI), this episode explores how AI is transforming finance workflows across FP&A, investment banking, and financial analysis, and why prompting skills are quickly becoming essential for modern analysts.

But here’s the key insight: AI isn’t the advantage. How you use AI is.

What you’ll learn in this episode:

• What the AI Prompting for Financial Analysis practice lab covers
• Why weak prompts lead to flawed financial analysis and poor decisions
• How to use AI as a thinking partner, not a shortcut
• The CAP-AJ framework (Context, Assumption, Prompt, Assess, Judge) and how it structures AI-driven analysis
• Real examples of how AI can be used in financial modeling, FP&A, and investment banking workflows
• The biggest mindset shift analysts need when using AI tools
• Why core finance skills (accounting, valuation, modeling) are still critical in an AI-driven world

This short, hands-on lab (≈1 hour) is built to help you:

• Improve productivity with AI
• Write better prompts for financial analysis
• Stress test assumptions using AI tools
• Apply professional judgment to AI-generated outputs
• Avoid common mistakes analysts make when using AI

Whether you’re a financial analyst, FP&A professional, investment banker, or finance student, this course is designed to help you stay relevant as AI becomes embedded in everyday finance workflows.

In this episode of Corporate Finance Explained on FinPod, we break down corporate governance and why the structure of a company’s board can determine whether shareholder value compounds for years or collapses almost overnight.

From the outside, governance can look like a compliance formality: board seats, committee charters, proxy statements, and routine oversight. But in practice, governance is the architecture that shapes capital allocation, executive incentives, risk oversight, and the quality of long-term decision-making. This episode examines how board design influences financial outcomes and why weak governance can quietly undermine even the strongest-looking business.

In this episode, we cover:

• Why corporate governance is a core finance issue, not just a legal or compliance issue
• How boards influence capital allocation, risk management, and long-term value creation
• Why independent directors alone are not enough without real operating or technical expertise
• How FP&A and corporate finance teams support boards with the analysis needed to challenge management
• What Adobe’s shift to a subscription model reveals about governance, incentive design, and long-term thinking
• Why Meta’s acquisition of Instagram required board conviction beyond near-term financial metrics
• How Microsoft’s LinkedIn acquisition shows the importance of governance in post-merger integration
• What Boeing’s 737 MAX crisis reveals about board composition and the danger of missing technical risk
• How Wells Fargo’s sales scandal exposed the financial consequences of misaligned compensation structures
• What investors should look for in proxy statements, compensation disclosures, and board committee design

This episode also explains how governance shows up in the numbers. Strong governance supports disciplined investment, clear reporting, and durable returns on capital. Weak governance often appears first through distorted incentives, fragile oversight, poor capital decisions, and eventually major losses in enterprise value.

This episode is designed for: Corporate finance professionals, FP&A and strategy teams, investors and analysts evaluating business quality, anyone interested in how governance affects valuation, risk, and long-term performance.

In this episode of CFI Member Spotlight on FinPod, we sit down with Albert Lee, CPA, an FP&A leader, Chicago Booth MBA candidate, and founder of Axiom FP&A Partners, where he works at the intersection of finance and AI.

This conversation follows Albert’s journey from PwC audit into regional FP&A leadership across APAC, and now into entrepreneurship. Albert shares how his early foundation in accounting and audit shaped the way he thinks about numbers, controls, and business performance, and why he eventually moved toward strategic finance roles where the focus shifts from explaining what happened to influencing what happens next.

This episode explores the practical side of career growth in finance: how mentorship builds confidence, how leadership changes the way you see the business, and how technical skills like Excel, Power BI, Power Query, financial modeling, and scenario analysis can become a springboard into more strategic work. Albert also reflects on his experience with the FMVA and how CFI helped strengthen his modeling toolkit and confidence as he advanced in FP&A.

We also discuss Albert’s decision to pursue an MBA at Chicago Booth, what he’s gained from that experience, and why he decided to launch Axiom FP&A Partners to help finance teams become more strategic and more AI-enabled. Along the way, Albert shares honest lessons about entrepreneurship, patience, skill-building, and the difference between chasing titles and compounding real capabilities over time.

If you’re building a career in FP&A, financial planning and analysis, corporate finance, accounting, or finance leadership, this Member Spotlight offers a realistic look at how careers evolve and how curiosity, discipline, and strong fundamentals can open unexpected doors.

Learn more about CFI’s certifications and training programs, including the FMVA, and explore how finance professionals around the world are building job-ready skills with Corporate Finance Institute.

In this episode of Corporate Finance Explained on FinPod, we discuss the reality behind one of the most dramatic events in corporate strategy: mergers and acquisitions (M&A).

Every year, headlines announce massive multi-billion-dollar acquisitions, complete with executive handshakes and promises of transformative growth. But behind the press releases lies a far more complex story. In corporate finance, the deal announcement is only the beginning. The real test happens during the post-merger integration phase, when two massive organizations attempt to combine systems, teams, operations, and strategy without destroying the value the deal was supposed to create.

In this episode, we break down why so many mergers fail and what separates the few extraordinary successes from the billions of dollars in shareholder value that disappear when integration goes wrong. Drawing on corporate finance frameworks and real-world case studies, we explore how finance teams track synergies, manage integration costs, and evaluate whether a deal’s promised benefits are actually materializing.

We examine some of the most successful technology acquisitions in recent history, including Meta’s purchase of Instagram and WhatsApp, where a “light-touch” integration strategy preserved the products while quietly plugging them into Meta’s global infrastructure and monetization engine. We also explore how Salesforce built a powerful enterprise ecosystem through acquisitions like Slack, Tableau, and MuleSoft by embedding new platforms into its broader CRM network.

From there, we contrast those successes with traditional industrial consolidation, looking at the Exxon–Mobil merger, where the entire strategy revolved around operational efficiency, supply chain consolidation, and massive cost synergies across global infrastructure.

But not every deal works. We analyze two of the most famous corporate integration failures: the Daimler–Chrysler merger, where cultural and organizational clashes destroyed expected synergies, and AT&T’s acquisition of Time Warner, where strategic misalignment and overwhelming debt ultimately forced the company to unwind the deal.

Along the way, we explain how modern finance teams manage integration through a dedicated Integration Management Office (IMO), tracking metrics such as synergy realization, stranded cost elimination, return on invested capital, and customer churn to determine whether the acquisition is actually delivering value.

If you work in corporate finance, investment banking, strategy, or FP&A, this episode provides a practical framework for analyzing any merger announcement. The key question isn’t the purchase price or the headline strategy. It’s the one that determines whether the deal succeeds or fails: How will the integration actually work?

In this episode of Corporate Finance Explained on FinPod, we break down one of the most debated topics in modern business: ESG (Environmental, Social, and Governance). Is it simply corporate branding, or does it actually affect financial performance?

You’ve likely seen ESG everywhere. It dominates earnings calls, investor presentations, and corporate annual reports. But behind the sustainability messaging lies a more important question for finance professionals: does ESG materially impact risk, cost of capital, and company valuation?

In this episode, we cut through the buzzwords and analyze ESG strictly through a corporate finance lens. Using frameworks from the Corporate Finance Institute (CFI) and real-world case studies, we explore how ESG factors translate into measurable financial outcomes. From regulatory risk and supply chain stability to governance oversight and investor confidence, ESG only becomes relevant to finance teams when it achieves financial materiality, meaning it directly impacts cash flows, operating margins, or the cost of capital.

We examine how companies like Ørsted, Unilever, and Microsoft have integrated ESG into their core financial strategy. Ørsted’s transition from fossil fuels to offshore wind demonstrates how disciplined capital allocation can reshape long-term enterprise value. Unilever’s sustainable sourcing initiatives show how ESG can reduce supply chain volatility and protect margins. Microsoft’s carbon-negative strategy highlights how forward-looking risk management can insulate companies from future regulatory and energy cost shocks.

We also look at the other side of the equation: what happens when ESG risks are ignored. Major corporate failures like Volkswagen’s emissions scandal and BP’s Deepwater Horizon disaster illustrate how governance failures and environmental risks can quickly turn into tens of billions of dollars in financial liabilities, permanently altering a company’s balance sheet and investor confidence.

Finally, we explore how modern finance teams actually measure ESG risks through materiality assessments, enterprise risk modeling, and integration into valuation frameworks like discounted cash flow models and weighted average cost of capital.

If you work in corporate finance, FP&A, investment analysis, or strategy, this episode will help you understand how ESG fits into the financial models that drive capital allocation decisions today.

Because once an ESG issue becomes financially material, it stops being a sustainability discussion and becomes a finance problem.