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- AI Strategy (429)
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How to Budget for Enterprise AI Before ROI Is Obvious
A practical framework for funding enterprise AI in stages, proving captured value, and matching vendor contracts to workflow economics.
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Before You Renew Software, Audit the Agent Workflow
A practical workflow audit for deciding which software capabilities to renew, unbundle, build, or make portable before the next enterprise contract.
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How Private Equity Firms Can Measure AI-Driven Advantage
A practical scorecard for separating AI activity from verified economic value, repeatable execution, defensibility, and managed risk in private equity.
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Frontier AI Pacing: An Enterprise Safety Assurance Playbook
A practical framework for turning frontier-model evidence into deployment gates, vendor requirements, and coordinated incident controls for AI agents.
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How Product Leaders Should Govern Frontier AI Releases
A practical release gate for assessing frontier-model capability, misuse controls, enterprise privacy, and dependency risk before you ship.
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How to Evaluate Corporate Data for AI Training Deals
A practical framework for testing enterprise data rights, quality, privacy, model fit, and economic value before committing to an AI training deal.
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Broken Procurement Is Costing You Talent: A Product Leader’s Playbook for Speed and Sanity
Procurement should accelerate value, not block it. In this episode recap and analysis, I unpack how sprawling forms, overreaching security reviews, and unclear ownership repel the…
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SaaS Points of Parity: Earn the Right to Differentiate
A practical framework for finding SaaS table stakes, prioritizing the gaps that block deals, and building enough parity without losing your edge.
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