AI Implementation Strategy KPIs: Why Success Starts Before the First Model
Your AI pilot did not fail. You just never defined what success looked like. Across industries, AI programs are getting built, funded, and deployed. But why do so many still stall somewhere between proof-of-concept and real business value? In most cases, the flaw lies not in the model’s accuracy,...
AI Isn’t a Product: Rethinking AI Product Strategy to Avoid the Internal Innovation Trap
Many enterprises confuse internal AI tools with strategic innovation. This article examines why AI initiatives must extend beyond internal efficiency to deliver real market impact. It explores product strategy, organisational change, and cultural integration—highlighting what it takes for AI to become a true driver of enterprise value....
From Use Case to Business Case: What an AI-First Strategy Really Requires
Many enterprises invest in AI pilots but struggle to scale them. This article explores what an AI-first strategy truly requires—from data readiness and operational ownership to measurable outcomes. Moving beyond isolated use cases, it outlines how organisations can embed AI into core workflows and deliver sustained business value....
The Illusion of AI: Why Most AI Implementations Are Skin-Deep and What That Reveals About The Strategy
Most AI projects fail not because of technology, but due to missing customer alignment and cultural readiness. This section explores how ignoring these two pillars undermines AI impact — and what leaders must do to fix it....
AI in Strategy Development: Transforming Decision-Making and Competitive Advantage
In an era defined by rapid technological change, AI in strategy development has emerged as a transformative force. Organizations across industries are leveraging artificial intelligence to process vast amounts of data, uncover hidden patterns, and enhance decision-making with predictive accuracy. The ability of AI to deliver real-time insights is...