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FinOps for AI: Why AI Cost Management Is Now a C-Suite Discipline

October 16, 2026 by Thom Sitleman

From niche concern to near-universal in two years FinOps for AI is the fastest-growing practice in the history of cloud financial management. In 2024, only 31% of FinOps teams managed AI costs. In 2025 it was 63%. In 2026 it is 98%, according to the FinOps Foundation’s State of FinOps 2026 report, which covers organizations … Read more

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Seats to Credits: How AI Is Rewriting SaaS Pricing and What CFOs and CIOs Must Do

October 16, 2026 by Thom Sitleman

The end of the predictable software bill For two decades, enterprise software had a simple price, a number of users times a monthly fee. AI is ending that model, and the new AI pricing models make software spend far harder to forecast. Look at almost any renewal in 2026 and you will find a new … Read more

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Proving AI ROI: The 2026 Accountability Test for CFOs and CIOs

October 16, 2026 by Thom Sitleman

AI spend is up. Proof of AI ROI is not. In 2026, the question about AI changed from “should we invest?” to “what did we get?”, and most companies cannot answer it. AI ROI has become the accountability test that CFOs and CIOs now face together, at every budget review. The gap is stark. KPMG’s … Read more

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The Token Price Paradox: Why Your AI Bill Keeps Rising as AI Gets Cheaper

October 16, 2026 by Thom Sitleman

The paradox every AI budget is hitting in 2026 AI has never been cheaper per unit, and enterprise AI bills have never been harder to control. That contradiction is the defining problem of agentic AI costs this year, and it now sits on both the CFO’s and the CIO’s desk. The unit price is collapsing. … Read more

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The Hidden Cost of AI Hype: What Happens When Companies Lose Control of AI Spending

October 13, 2026 by Thom Sitleman

AI experimentation can become expensive surprisingly quickly. Here is what happens when companies scale AI faster than they build financial controls, ownership and accountability.

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What AI Governance Really Means: Making AI Worth Scaling

October 13, 2026 by Thom Sitleman

AI governance is often framed as control, compliance and risk. Its deeper purpose is to give organisations the confidence to scale AI responsibly, economically and intentionally.

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Recent Posts

  • FinOps for AI: Why AI Cost Management Is Now a C-Suite Discipline
  • Seats to Credits: How AI Is Rewriting SaaS Pricing and What CFOs and CIOs Must Do
  • Proving AI ROI: The 2026 Accountability Test for CFOs and CIOs
  • The Token Price Paradox: Why Your AI Bill Keeps Rising as AI Gets Cheaper
  • The Hidden Cost of AI Hype: What Happens When Companies Lose Control of AI Spending

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