Nilesh Khedkar.
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AI-native process mapping

A method and scoring framework for finding where AI belongs in a corporate process, before anyone writes a line of code.

Domain
Process digitalization
My role
Method designer and lead
When
2025
Status
Ongoing
Result
  • A repeatable scoring framework to rank process steps by AI readiness and value
  • A web app for teams to map processes and score them together
  • Built for a corporate process digitalization initiative

The problem

Most AI programs start with a model and go looking for a use. The result is a long list of pilots that don’t connect to how work actually flows, and a leadership team that can’t tell which ones matter.

The approach

Start from the process instead. Teams map a process step by step, then score each step for how much judgment it needs, how structured its data is, how often it runs and what it costs when it goes wrong. The scores point to where AI should assist, where it should automate, and where it should stay out.

What changed

  • Leadership gets one ranked view of AI opportunities across processes.
  • Business teams arrive at IT with a scored, mapped case instead of an idea.

Say hello

Always happy to swap notes on AI in industry, maintenance and reliability.