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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...
Deterministic Revenue Architecture: The CFO Playbook for AI Governance in 2026

Deterministic Revenue Architecture: The CFO Playbook for AI Governance in 2026

by Daniel Kube | Apr 21, 2026 | Blog Post, Thought Leadership

Beyond Eliza 2.0: At What Point Does an AI Guess Become a Contract? Deterministic revenue architecture is the framework every revenue leader needs before the August 2 EU AI Act deadline. This piece is the playbook. Executive Summary In short: The opportunity in front...
Does Your Team Have the Eliza Haze? AI Hallucination Risk Every Board Must Govern

Does Your Team Have the Eliza Haze? AI Hallucination Risk Every Board Must Govern

by Daniel Kube | Apr 14, 2026 | Blog Post

How Automation Bias, the ELIZA Effect, and AI Stockholm Syndrome Are Creating Unmanaged Enterprise Risk By Daniel Kube, CEO, servicePath™ AI hallucinations are not just a technical problem. They are a psychological one. The Eliza Haze describes what happens when teams...
Ground Truth Is the New Moat | CPQ AI Risk Framework 2026

Ground Truth Is the New Moat | CPQ AI Risk Framework 2026

by Daniel Kube | Mar 4, 2026 | Blog Post

Ground Truth Is the New Moat Nearly half of enterprise AI users have acted on fabricated data. In 2026, the competitive moat isn’t your AI model — everyone has access to the same LLMs. Instead, it’s the verified, deterministic data layer that prevents your...

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