AI That Pays The Bills
The Inconvenient Truth
83% of CEOs say AI is a strategic priority. 78% of AI projects never move beyond pilot stage. 90% of those that do fail to generate positive ROI.
This keynote reveals why — and, more importantly, how to be part of the 10% that turn AI into real revenue.
What Your Team Will Master
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The 5 Fatal Mistakes (& How to Avoid Them)
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Lack of Strategic Clarity
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How to turn “let’s use AI” into specific problems with measurable ROI.
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The question framework that clarifies any project in minutes.
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Wrong Metrics
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Why “accuracy” and “precision” are irrelevant (and what to measure instead).
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How to translate technical metrics into P&L impact.
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Insufficient Data
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The 5‑minute test to know if you have enough data to start.
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How to build solid data foundations without spending millions.
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Organizational Resistance
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Why 70% of adoption efforts fail (hint: it’s not the technology).
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The change management process tailored for AI.
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Shiny Tech Syndrome
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How to choose the right technology, not the most sophisticated.
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When to use AI, when to use automation, and when to use nothing at all.
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Proven Implementation Frameworks
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The 5‑level maturity model for enterprise AI.
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The prioritization matrix: impact vs. complexity vs. data.
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The stage‑gate process adapted for AI projects.
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Agile methodologies that actually work with machine learning.
How This Keynote is Different
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No hidden sales pitches. I don’t represent any technology or vendor — the focus is solely on results.
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No unnecessary complexity. If automation solves it, I use automation. AI only when it makes financial sense.
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No magic promises. Real numbers, real cases, real ROI.
Audience & Outcomes
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Ideal Audience: C‑Level executives, Strategy Directors, Innovation Leaders, and P&L Owners.
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Outcomes:
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Clear diagnosis of your current AI projects.
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Identification of 3–5 quick wins implementable within 90 days.
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Governance framework for AI with ROI focus.
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Reduced risk of project failure.
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Investiment & Next Steps
This keynote is ideal for:
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Investment Committees — deciding where to allocate AI budgets.
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Project Kick‑offs — ensuring value focus from day one.
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Strategic Reviews — evaluating your AI initiative portfolio.

“AI is not about technology. It’s about solving business problems more intelligently. If it doesn’t pay the bills, it isn’t smart.”
