Why AI Can't Exist Without Process Intelligence

Chander Damodaran, MD and Global CTO at Brillio, published an article in Forbes Tech Council examining why many enterprises struggle to translate AI deployment into measurable business outcomes. In "Why AI Can't Exist Without Process Intelligence," Damodaran argues that the gap between AI that runs and AI that performs isn't a model or data problem-it's a process intelligence problem. Process intelligence provides a data-driven map of how businesses actually operate, based on observed reality rather than documented assumptions. Without this foundation, organizations risk deploying AI on top of broken workflows, accelerating existing inefficiencies rather than resolving them. Damodaran outlines how process intelligence makes ROI provable, surfaces what's broken before AI goes in, and creates a compounding strategic advantage across workflows, data pipelines, application integrations, infrastructure, and model tuning. He shares three examples demonstrating how PI-first strategies unlock production-level improvements in software development, customer service, and claims processing. The article also addresses an organizational challenge: process intelligence often sits in a no-man's land with unclear ownership, making it difficult to deploy AI effectively at scale.

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