Gaurav Vashisht Proposes New Framework for AI ROI Measurement

Gaurav Vashisht, an expert in finance and enterprise systems, has proposed a new framework designed to measure the tangible return on investment of artificial intelligence within corporate environments. Vashisht argues that current AI budgets are often based on adoption charts rather than actual value, as companies struggle to establish a baseline cost for the work that AI replaces.

To address this gap, Vashisht suggests observing workflows directly within existing systems to eliminate departmental disputes over time estimates. His approach involves reconstructing total effort by accounting for coordination across multiple communication channels and penalizing rework to ensure that high volume is not mistaken for actual impact.

Vashisht asserts that these measurement techniques allow companies to identify which AI agents create genuine value. He believes this shift in methodology will lead to more efficient cost control and a reduction in total AI spending across enterprises.