AI Adoption Initiative · AA-02

Process Discovery & Redesign for AI Readiness

ImpactVery High

Complexity3 / 5

AI Adoption Est.$2,499Starting

AI fails most often when it's bolted onto broken, undocumented, or highly variable processes. Teams of 50+ carry tribal workarounds and exception handling that no model can learn cleanly, so automating the current state just accelerates the problems already there.

The outcomePriority processes are mapped as they actually run, including exceptions. Variation is reduced or standardized, and the redesigned process is ready for reliable AI support with the people who own it understanding the new standard.

What you get

Current-state process mapping with observation and exception capture
A redesigned target process with clear ownership and decision points
A clear read on what should be automated, augmented, or left human, packaged and ready to implement for the first use case

How we prove it · Your agreed metrics

Cycle time and error rate of the target process before redesign
Percentage of process variation eliminated or standardized
Stakeholder confidence in the new process design
Number of clear automation or augmentation candidates produced

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