The AI Funding Paradox: Why Your Next Big Innovation is Hidden in Your Current Technology Budget

Vinay Saxena

How Asato turns fragmented IT data across labor, software, cloud, and hardware into an explainable TBM cost model linking every dollar spent to real ownership and business outcomes.

Executive Summary

Enterprise leaders must fund AI and cloud while proving tighter spend discipline. The problem isn't missing data; it's that fragmented cost, usage, and ownership records can't explain the technology estate as a whole. Asato's TBM Attribution Engine turns messy enterprise data into a governed, explainable cost model, using agentic AI to link every dollar spent to real ownership and business outcomes, so leaders can defensibly fund their next wave of innovation.

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