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Brian Felker Proposes Operational Modernization to Solve the AI Continuity Gap

Companies often master individual functions like manufacturing or software development, yet the critical work that flows between them remains largely neglected. Business advisor Brian Felker argues in his new book, Operational Modernization: Closing the Continuity Gap, that AI adoption requires a fundamental shift in how organizations manage this fragmented space.

Brian Felker Proposes Operational Modernization to Solve the AI Continuity Gap

The core of the problem lies in the Continuity Gap—a disconnect where ownership blurs, information silos harden, and employees rely on manual workarounds to keep systems running. Felker describes these workers as Human Middleware, individuals who bridge the failures in an organization’s design. This accumulation of inefficiencies, which he terms Operational Debt, often goes unaddressed until the friction becomes unsustainable.

While many leaders look to AI solely for automation, Felker warns that rushing to implement new technology without rethinking the underlying process only accelerates dysfunction. Automating a fragmented workflow simply creates a faster, more efficient version of a broken system. Instead, he proposes a management discipline that extends the principles of Lean, Six Sigma, and Agile into the realm of digital, cross-functional work. By focusing on whether a process should exist before automating it, companies can turn organizational complexity into a competitive capability rather than a bottleneck.

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