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Clarity Comes First: The Hidden Reason Most AI Initiatives Fail
Most AI initiatives don’t fail because the models fail. They fail because the people can’t see the problem. Across sectors, organizations are launching AI pilots and proof-of-concepts, but many stall out, entering the AI Graveyard, or they fail to reach scale. The missing ingredient isn’t better algorithms or smarter AI. It’s organizational clarity: knowing where AI fits, where friction lies, and where value is leaking. AI does not fix broken workflows. It magnifies them. The
Saahil Panikar
Oct 174 min read


5 Reasons You Need Enterprise Portfolio Management
A decade ago, the landscape of corporate Portfolio Management was stunningly different from what it is today. Organizations were...
Saahil Panikar
Sep 26, 20236 min read


Saahil Panikar
Nov 26, 20220 min read


Writing Effective PI and Iteration Objectives
Agile is disciplined; not reckless. Understanding Objectives Writing useful Program Increment (PI) and Iteration Objectives requires...
Saahil Panikar
Oct 14, 20224 min read
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