About
Amit
Srivastava
Entrepreneur, strategy consultant and facilitator. He helps leaders turn plans into action, and shows executive teams where AI value gets stuck.
At a glance
- 27 years
- Across start-ups, global companies and the public sector in India and Africa.
- GSK, Cargill, Olam
- Operating and strategy roles, alongside consulting work for dozens of Fortune 500 firms.
- Three ventures
- Founder of Ezytaxi (inter-city mobility), College to Company (employability), and PixoMap (iOS travel companion).
- Two books
- Why AI Isn’t Working at Work (2026), and The Truth about Myths, launched in 2016 by Lord Meghnad Desai.
- AI in practice
- Building AI workflows inside his own products and advising leadership teams on AI strategy and decision governance.
- Photographer
- Recognised by the Embassy of Japan. A Vipassana meditator for seventeen years.
A right answer to the wrong question is more dangerous than an unclear answer to the right one. Solving the wrong problem perfectly wastes everything.
Why do capable people with a sound plan still fail to deliver?
The question that connects twenty-seven years of operating, advising and writing.
A plan on paper disappears the moment it meets unstated assumptions and human incentives. Progress depends on leaders asking uncomfortable questions of their machines, their teams, and themselves.
Where plans meet reality
Across field operations, boardrooms and public programmes, the failure mode was rarely a lack of intelligence or effort. Sound plans broke at the handover between the room that designed the strategy and the people expected to live inside it. His work sits in that gap.
1999 on a whiteboard, 2023 in Kyoto
In 1999 a sales trainer wrote three rules on a board: do not assume, notice when the question is weak, and always ask, compared to what? Twenty-four years later, an AI image generator turned his photograph of Kiyomizu-dera in Kyoto into a striking picture that was wrong at the structural root. Together, those two moments became the book’s three checks: Assumptions, Biases, Complexity.
Why he still builds instruments
Advice fades quickly when it stays on slides. Amit still writes software in the evenings so every idea, whether the three Ts diagnostic or the interactive ABC decision map on this site, turns into a working instrument a leader can test on Monday morning.
Recently
Talks and essays.
Why AI saves time but rarely shows up in the results.
Amit spoke with the Oxford Group on the three Ts: better work, better teamwork, better business results.
Faster chopping is not a better dinner.
A machine chops a sack of onions in seconds. The stove is full, and the dining room still waits. Why AI gains leak between the desk, the team and the P&L.