Episode #22 - The Numbers That Unlock Budgets — Baselines and the ROI Framework

Episode #22 - The Numbers That Unlock Budgets — Baselines and the ROI Framework

Episode 22: The $600 Billion Wake-Up Call — How to Build an AI Business Case That Actually Gets Approved

Six hundred billion dollars. That's how much has been poured into AI technologies across the market, according to research from Sequoia Capital and Goldman Sachs — with essentially no measurable return on investment yet realized. Finance teams are staring at balance sheets asking: where is it? In this episode of The AI Strategy Blueprint, host Lara Wilson delivers the answer.

Drawing from Chapter 8 of the book by author John Hanby, Lara walks through the precise methodology that separates approved AI budgets from stalled science projects. It comes down to one discipline: the imperative of quantification. Can you prove — in provable dollars — that your AI investment pays off? If not, your initiative is already dead in the water.

Lara breaks down the five baseline categories every organization must document before deploying AI: Time Economics, Error Rates, Volume Metrics, Labor Economics, and Throughput Constraints. Then she introduces John Hanby's Confidence Weighting methodology — a rigorous framework that applies probability weights (High, Medium, and Low) to projected benefits, so your business case is conservative, defensible, and CFO-proof. Walk into the room voluntarily discounting your own numbers, and watch the finance team's jaw drop.

From the Time-to-Dollars Conversion formula to the Four Pillars of AI ROI — Direct Cost Reduction, Productivity Amplification, Revenue Acceleration, and Risk Mitigation — this episode gives you the full quantitative toolkit. Lara even shows how saving just five minutes per week per employee can generate a 3x return on a typical AI software license.

If you've ever struggled to translate AI enthusiasm into budget approval, this is the episode that changes everything. The question isn't whether AI works — it's whether you can prove it. Can you? Learn more at https://iternal.ai/ai-strategy-blueprint

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Avsnitt(51)

Episode #51 - Your Seven Commitments — Leading the Greatest Technology Transformation

Episode #51 - Your Seven Commitments — Leading the Greatest Technology Transformation

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Episode #50 - Principles That Endure and The Widening Gap

Episode #50 - Principles That Endure and The Widening Gap

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Episode #49 - The Transformation We've Mapped — Your Complete AI Strategy Recap

Episode #49 - The Transformation We've Mapped — Your Complete AI Strategy Recap

Episode 49: The Blueprint Revealed — How the Top 5% Turn AI Into a Competitive WeaponRight now, only 5% of organizations are achieving truly transformational value from AI — while 60% are generating m...

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Episode #48 - The Continuous Improvement Loop — Feedback to Refinement

Episode #48 - The Continuous Improvement Loop — Feedback to Refinement

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Episode #47 - Testing LLMs, Agents, and RAG Systems

Episode #47 - Testing LLMs, Agents, and RAG Systems

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22 Maj 26min

Episode #46 - Why AI Testing Is Fundamentally Different from Software Testing

Episode #46 - Why AI Testing Is Fundamentally Different from Software Testing

Episode 46: Stop Testing Your AI Like It's a Calculator — It's NotWhat if everything your QA team knows about software testing is actually making your AI deployments less reliable? In this episode of ...

21 Maj 25min

Episode #45 - Why AI Hallucinations Are a Data Problem, Not a Model Problem

Episode #45 - Why AI Hallucinations Are a Data Problem, Not a Model Problem

Episode 45: Your AI Isn't Lying — Your Data IsWhat if the AI hallucination crisis tearing through enterprise tech had nothing to do with the models themselves? In this episode of The AI Strategy Bluep...

20 Maj 30min

Episode #44 - Air-Gapped AI, Data Sovereignty, and Compliance Frameworks

Episode #44 - Air-Gapped AI, Data Sovereignty, and Compliance Frameworks

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