One of the key roadblocks to wider AI adoption especially in India is, apart from an understanding of the specific benefits in real-world detail, the lack of understanding of the risk associated with them. In customer conversations, this is an element that is now beginning to crop up more and more – alongside deep, workflow-specific questions. Sadly, most AI companies do not do a good job on either front – addressing specific workflows, or specific risks. This is where hype around risks can emerge. For example, AI Agents in particular, and AI in general, going rogue is a nightmare scenario that I am sure many of us have heard of. However, the real problem with AI is not simply whether an AI can go rogue. It is whether organisations have any practical framework for quantifying the risk of autonomous exec...
"What is execution?" This line came up in a discussion recently, and it got me thinking about a question I've circled back to many times: what is the acceptable definition of "execution"? How do we judge it? Is it labour, is it work, or is it success? My answer: Direction + Prioritising + Process + Plan + Implementation + Moderated Velocity + Monitoring & Pivoting = Execution. Is Success A Parameter Of Execution? Execution is not success – success is the result of seamless execution. In fact, success is not even a parameter. Including it takes the mind away from execution, which needs a laser-like focus on the objective, and the way to go towards it — while keeping an eye on the strategy and the market shifts so one can pivot to cater to the evolving market or internal changes. That is the fundamental core of execution Understanding Execution A commando or a soldier does not think of the battle victory. He or she only focuses on the...