BELLEVUE, Wash. - TelAve -- The Technology Business Management (TBM) Council today announced a major strategic pivot, repositioning the widely adopted TBM Framework to serve as The Business Operating System for the AI Era. Accompanying this announcement is the release of Part One of its flagship strategy series authored by Executive Director Matt Guarini: "Beyond Tokenomics: TBM Delivers the Full Economic Picture for Accurate AI ROI."

As enterprise AI investments surge globally, executive teams face an unprecedented governance challenge. Current market efforts to manage AI costs focus predominantly on "tokenomics" and cloud optimization. However, TBM Council research reveals that labor accounts for 50% to 70% of typical AI initiative costs, while non-labor token spend represents only 15% to 30%. Focusing exclusively on cloud infrastructure leaves organizations with a critical "AI Value Blind Spot."

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"Delivering value with AI is the single most pressing issue facing modern business leaders," said Matt Guarini, Executive Director of the TBM Council. "Treating AI like a simple cloud consumption metric is a strategic error. AI economics span labor, data engineering, software licensing, and business process change. TBM provides the enterprise-wide economic model required to connect AI investments directly to business outcomes, unit costs, and value stream throughput."

Key strategic moves driving this evolution include:

• Emphasize TBM's role in context and business decisions: Expanding focus to the full enterprise by publishing persona-led guidance that addresses executive priorities, including funding, value capture, scaling, and governance.
• Positioning the TBM Taxonomy as an economic model that your business uses to make key decisions: Converting technical technology spending into a clear, shared financial language comprised of inputs, production, and business outputs.
• Delivering the foundations for TBM excellence with core tech and AI: Building a comprehensive "Body of Practice" alongside dedicated guidance on fully burdened AI costs, variable costs, AI governance, and value realization.
• Positioning TBM Framework and Taxonomy as the contextual and semantic layers for Agentic TBM: Establishing the financial and semantic standard required for autonomous AI workflows across platforms like SAP, LeanIX, and ServiceNow.
• Expanding TBM into business architecture, processes, and value streams: Connecting technology costs directly to core workflow throughput and cost reduction to evolve TBM into true Enterprise Business Management (EBM).

The strategic research paper, Beyond Tokenomics, is available now on the TBM Council website: https://hubs.la/Q04x5TsS0

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About the TBM Council: The Technology Business Management (TBM) Council is a non-profit professional organization dedicated to advancing the discipline of technology business management. Representing enterprise technology, finance, and business leaders across 40+ industries, the Council provides authoritative standards, research, and education to optimize business value from technology investments. https://hubs.la/Q04x5TsS0