CFO Framework

The TCAE+G Lens

AI Economics, Execution & Governance

Most AI discussions focus too narrowly on software costs, use cases, or expected productivity gains. CFOs need a broader view — the Total Cost of AI Execution and Governance.

Software costs and use cases only tell part of the story. The real cost of AI execution includes implementation, adoption, governance, and ongoing operating expense.

Finance leaders need to understand the Total Cost of AI Execution and Governance — not just the price of the tools — to evaluate AI-related opportunities, understand organizational implications, and scale AI responsibly.

The TCAE+G™ Framework helps CFOs evaluate AI initiatives through the lenses of economics, execution, adoption, and governance, bringing greater structure and discipline to AI-related decisions.

TCAE+G Framework diagram showing AI economics, execution and governance with transformation, capability, architecture and execution pillars

Dimensions of the TCAE+G Lens

Ten Dimensions CFOs Should Evaluate

Software, platform, and licensing costs

Implementation and integration considerations

Workflow redesign and operational impacts

Training, adoption, and organizational change

Resource requirements and capacity constraints

Vendor claims, assumptions, and contracts

Data access, usage, and management

Governance, documentation, accountability

Productivity assumptions and organizational impact

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Why the TCAE+G Lens Matters

AI discussions often focus on vendor claims, software costs, or isolated productivity metrics. The TCAE+G Lens provides CFOs with a structured lens for evaluating the economic, operational, adoption, and governance considerations associated with AI initiatives.

It is designed to help finance leaders apply consistent financial discipline and evaluation criteria when assessing AI-related opportunities and decisions.

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