AI Is Changing the Economics of Process Transformation
AI is not only changing how process transformation is performed. It is changing its economics: months of discovery can become weeks, while the business value of transformation remains substantial.
From months to weeks
In 2025, Latin American e-commerce company Trafilea used AI-powered process discovery to conduct 43 interviews in two weeks, identify operational inefficiencies and generate a prioritized improvement roadmap.
According to its process specialist, work that would have taken approximately one year of manual process mapping was completed in just two to three weeks.
The initiative also identified 218 hours of monthly operational waste and automation opportunities across several workflows.
Source: Horizon — Trafilea Case Study.
From process visibility to millions in savings
A Fortune 500 financial services company used AI-powered process intelligence to analyze operational workflows, identify process variations, detect rework and improve workforce allocation.
The result: $10.8 million in identified savings over three years, alongside approximately 30 additional automation opportunities.
The important point is not simply that AI accelerates analysis. It enables organizations to identify and quantify transformation opportunities that might otherwise remain hidden.
Source: Skan AI — Financial Services Case Study.
A different economic equation
AI can reduce the cost of producing a transformation by accelerating process discovery, documentation and analysis.
The economic value delivered to the client does not decrease accordingly.
For transformation providers, this can create a widening gap between the cost of delivering a transformation and the economic value it generates.
The opportunity is not to sell more AI. It is to deliver more valuable transformations with a fundamentally different cost structure.
Process expertise remains essential
AI can accelerate discovery and analysis. It cannot independently determine which business problems deserve attention, which process changes are organizationally feasible or which transformations will generate sustainable results.
At BPM CYT, our approach connects Process Mining, process analysis, redesign and execution to help organizations identify where transformation can create measurable value.
AI introduces new possibilities for accelerating that work. The underlying discipline remains the same: understand how the organization operates before deciding what to change.
The economics are changing. The importance of asking the right questions is not.
Process transformation is not new to BPM CYT. See how we improved Carac's Lead-to-Cash process — and what AI would have changed today.
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