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Dreamforce 2026 drew the line: revenue can’t be probably right

Dreamforce 2026 drew the line: revenue can’t be probably right

by Daniel Kube | Sep 29, 2026 | AI governance, Blog Post, Category Insight, CPQ, CPQ Strategy, Revenue Architecture, Salesforce Dreamforce, Thought Leadership

Dreamforce 2026 ran from 15 to 17 September at Moscone Center in San Francisco. Salesforce launched AIforce and Koa, its first CRM reasoning model. For revenue teams, though, the message was simpler. AI can recommend a price. Something deterministic has to decide...
88 hours to solve, two years to trust: a board’s guide to AI risk in quote-to-cash

88 hours to solve, two years to trust: a board’s guide to AI risk in quote-to-cash

by Daniel Kube | Sep 24, 2026 | AI governance, Blog Post, CPQ, CPQ Strategy, Insight

On 8 September 2026, OpenAI said roughly 10,000 AI agents had proved, in about 88 hours, that a smooth fluid under a smooth external force can blow up in finite time, one statement inside the Navier-Stokes Millennium Prize Problem. The Clay Mathematics Institute has...
Your deal desk or your AI agents: four tests for who controls the price

Your deal desk or your AI agents: four tests for who controls the price

by Daniel Kube | Sep 22, 2026 | AI and Finance, Blog Post, Category Insight, CPQ, Hybrid Pricing, Thought Leadership

Agent identity decides who may act. Only a written rule decides the price, the margin, and the term your business commits to. Executive summary Today your deal desk decides what a non-standard price may be. Soon a quoting agent will decide it too, and far faster....
A strong CPQ foundation matters more than the next hundred tools

A strong CPQ foundation matters more than the next hundred tools

by Daniel Kube | Sep 15, 2026 | Blog Post, Category Insight, CPQ, CPQ Strategy, Listicle

Ten controls make a CPQ foundation strong. Two tests tell you whether yours is, before you buy the next tool. Executive summary Complex quoting has not changed, and neither has the CPQ foundation underneath it. It still comes down to a catalog somebody maintains,...
AI depreciates, context appreciates.

AI depreciates, context appreciates.

by Daniel Kube | Sep 9, 2026 | Blog Post, CPQ, Revenue Operations, Thought Leadership

In a working session last week on why generic AI keeps failing at pricing precision, I landed on four words. In a working session last week on why generic AI keeps failing at pricing precision, I landed on four words: AI depreciates, context appreciates. I posted them...
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Recent Posts

  • Dreamforce 2026 drew the line: revenue can’t be probably right September 29, 2026
  • 88 hours to solve, two years to trust: a board’s guide to AI risk in quote-to-cash September 24, 2026
  • Every CPQ vendor has AI now. Three other things decide the future of CPQ. September 23, 2026
  • Your deal desk or your AI agents: four tests for who controls the price September 22, 2026
  • A strong CPQ foundation matters more than the next hundred tools September 15, 2026

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