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.

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