A year ago, every boardroom conversation centered on AI adoption. Today, the conversation has shifted. AI has already been deployed across sales, marketing, finance, and operations, yet many organizations struggle to answer a simple question: what has actually changed?

In this opening prelude episode of The Revenue Integrity Gap, David Figueroa explores a growing challenge facing modern businesses: AI sprawl. What begins as individual teams adopting AI tools to improve productivity can quickly evolve into fragmented systems, disconnected decision-making, and a loss of organizational visibility.

Drawing from his work with CEOs, CROs, CFOs, and executive teams inside fast-growing companies, David explains why AI sprawl is not merely a technology problem. It is a governance problem. As different departments adopt different AI tools, organizations risk creating multiple versions of truth, weakening forecast integrity, fragmenting institutional knowledge, and eroding trust between teams.

This episode examines why AI sprawl is accelerating faster than traditional software sprawl, how hidden AI adoption impacts business operations, and what leaders can do to regain control before fragmented AI systems begin shaping critical business decisions without oversight.

In this episode, David discusses:

• What AI sprawl actually looks like inside growing organizations

• Why AI sprawl is different from traditional tool sprawl

• How fragmented AI systems create multiple versions of truth

• The impact of AI on forecast integrity and executive decision-making

• Why institutional knowledge is becoming increasingly vulnerable

• How AI-driven reporting can unintentionally erode trust across departments

• The governance challenges most organizations are overlooking

• A practical exercise leaders can use to identify AI sprawl across their business

This episode is the first installment in a three-part prelude series leading into the inaugural season of The Revenue Integrity Gap, where revenue leadership, governance, and AI intersect.

If this conversation sparked a new question, share it with someone searching for better answers. Subscribe so you never miss what's next.

Most companies are great at tracking activity.

They know how many calls were made, how many emails were sent, and how many deals closed. But there's one thing sitting between activity and results that often gets overlooked: behavior.

In this episode, David Figueroa explores how technology is changing the way organizations understand human behavior. AI is no longer just helping teams work faster. It's starting to influence decisions, recommend actions, and shape how people work every day.

The challenge is that most organizations still focus on activities and outcomes while missing the behaviors that actually drive performance.

David breaks down the difference between activity, outcomes, and behavior, why behavior has historically been difficult to measure, and how AI is creating new opportunities—and new risks, for revenue leaders.

In this episode:

• Why activity, outcomes, and behavior are not the same thing

• How AI is influencing decisions behind the scenes

• The hidden impact of AI-generated habits

• Why behavior may be a stronger predictor than traditional metrics

• The difference between correlation and causality

• How behavior-based insights can improve forecasting and coaching

• A simple question leaders should ask their teams this week

This is the second prelude episode of The Revenue Integrity Gap, a series exploring the intersection of revenue leadership, governance, behavioral intelligence, and AI.

If this conversation sparked a new question, share it with someone searching for better answers. Subscribe so you never miss what's next.

What happens when the board asks, "What's our AI strategy?"

In this episode, David Figueroa explores one of the most common challenges facing executive teams today. As pressure to adopt AI continues to grow, many organizations find themselves launching pilots, testing tools, and chasing activity without a clear operating model behind it.

David breaks down why AI adoption and AI strategy are not the same thing, how board-level conversations often create urgency before a diagnosis exists, and why governance matters more than simply adding more technology.

In this episode:

• The difference between an AI mandate and an AI strategy

• Why pilots don't always lead to progress

• The risks of adopting AI without governance

• How leaders can shift the conversation from tools to outcomes

• Building an operating model that scales with AI

This episode concludes the Prelude Series of The Revenue Integrity Gap and lays the foundation for Season One, where David sits down with executive leaders to explore the intersection of revenue, leadership, governance, and AI.

If this conversation sparked a new question, share it with someone searching for better answers. Subscribe so you never miss what's next.