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The AI Balance Sheet Liability Most AI investments are currently tracked as innovation assets, but without structural "plumbing," they rapidly become balance sheet liabilities. This briefing addresses why 90% of agentic projects failed in 2025 and how to move from "paving over potholes" to rebuilding the road for an AI-native world.

The Process-First Architecture To ensure an intelligence layer is defensible, fiduciaries must apply three non-negotiable filters:

Redesign over Automation: Fixing the workflow before the tool.
Inference Economics: Comparing daily run rates to initial deployment costs.
Data Integrity: Ensuring data is normalized and represents a single source of truth.

Even a perfect process fails if the board remains skeptical of the ROI numbers.
Watch the deep dive on why AI ROI is fake: https://youtu.be/jpILq7Pg5uc

Next Briefing: Disaster Recovery (DR) in the realm of ROI.


0:00 – The AI Balance Sheet Liability


0:53 – Authority Flash: 18 Years as a Global CIO


1:22 – Why Automation Fails on Top of Chaos


2:05 – The Process-First Architecture Framework


2:48 – Data Integrity: The Governance Mandate


3:50 – What "Normalized Data" Means for Leadership


4:46 – Making the Intelligence Layer Defensible


5:44 – Chaining the Chain: Why AI ROI is Fake