Cover of 22 Years in Transformation Taught Her Why AI Projects Fail | Rujuta Singh

22 Years in Transformation Taught Her Why AI Projects Fail | Rujuta Singh

22 Years in Transformation Taught Her Why AI Projects Fail | Rujuta Singh

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Summary
 Why do so many business change initiatives fail?Rujuta Singh joins me to explain why the human element often determines whether transformation succeeds or stalls.With more than twenty two years of experience across technology, consulting and major transformation programmes, Rujuta has seen the disconnect between strategic planning and real world execution from the inside.We explore why focusing purely on systems and technology can lead to organisational failure, why leadership teams can spend months struggling to make a single decision, and how executives can create genuine adoption rather than resistance.This conversation is particularly relevant for CEOs, executives and transformation leaders managing large scale technology and AI programmes who want to move beyond tools, presentations and spreadsheets and understand the psychological and organisational realities behind change.Rujuta started her career loving mathematics, algorithms and computers. She worked with Microsoft in Seattle, advised companies across multiple industries, and eventually discovered something that changed the direction of her career.The hardest part of transformation usually is not the technology. It is people.Her own journey was not linear either.She moved to the UK with almost no money, remembers surviving on one inexpensive meal a day while waiting for her first salary, has been fired twice, built her own company and learned through difficult periods that one of the most important forms of resilience is learning to trust yourself.Today, through Solve Together, she works with executives and boards on AI strategy and transformation, helping organisations move away from tool first thinking and towards measurable business value.We talk about why companies get AI wrong, why productivity gains are difficult to measure, why transformation programmes move too slowly, what leaders misunderstand about collaboration, and why AI requires a completely different way of thinking about change.Subscribe for weekly executive intelligence conversations and let us know in the comments:What is the toughest resistance you have faced during a major transformation?Timestamp for you:00:00 Introduction01:24 Why most AI programmes struggle to create measurable value02:49 Why starting with the AI tool is the wrong approach05:15 The problem with measuring AI productivity08:50 Who Rujuta was before business transformation09:13 Growing up loving maths, algorithms and computers12:25 Moving from technology into business14:39 Working with Microsoft in Seattle15:23 Consulting across multiple global industries18:20 What success meant in the middle of her career20:09 The leadership meeting that changed her thinking21:05 Six months trying to make one decision23:20 Why transformation is fundamentally a people problem26:20 Why she founded Solve Together28:44 The difficult periods that shaped her30:13 Moving to the UK with almost no money31:00 Surviving on one inexpensive meal a day31:30 The mistakes and setbacks of building a business32:39 Learning to trust herself35:35 Why Solve Together exists37:32 Why traditional transformation models fail with AI39:56 Why a three year AI roadmap may already be wrong41:24 The role of orchestration in transformation42:43 How to make decisions faster45:39 Rujuta's exact ExecDNA46:54 ClosingJoin the ExecDNA community and get early access to the platform.👉 Join the community and waiting list:https://www.execdna.comMario RivasFounder of ExecDNAHost of ExecDNA PodcastLinkedIn:https://www.linkedin.com/in/mariorivassanchez/Listen to ExecDNA Podcast on Spotify:https://open.spotify.com/show/3804Om0XrGG1gNRsev6DlU?si=ce622db462c84839Listen to ExecDNA Podcast on Apple Podcasts:https://podcasts.apple.com/gb/podcast/execdna/id1847157416#execdna #ai #leadership #businesstransformation #businessstrategy
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