AI Transformation Lessons from India’s Digital Transformation Decade
India's digital transformation decade left a clear playbook — and most organizations have already forgotten it. As AI adoption accelerates, the familiar patterns are re-emerging: technology prioritized over readiness, planning over learning, deployment over adoption. The lessons haven't changed. The cost of ignoring them has....
The 98% Lie: Why Scaling AI Pilots Will Fail (And It’s Not the Reason Your Consultants Told You)
The 98% AI failure rate isn't about model alignment. It's a systemic collapse driven by four fatal flaws: budget creep, CISO blocks, poor data quality, and missing enterprise KPIs....
Building Systems of Adaptation for Continuous Change – Beyond the AI Hype
hyper-connectivity, and AI are the constant backdrop of doing business. While digital transformation and artificial intelligence (AI) initiatives have become ubiquitous in boardrooms, many organizations remain trapped in cycles of reactive transformations. These episodic efforts may deliver short-term wins, but they fall short of equipping businesses for sustained relevance....
Five Deadly Digital Transformation Sins
Some of our previous conversations around Digital Transformation (DX) have been around the probability of its success in your organization, where it should be led from and so on. We push collaboration, strategic alignment and leadership as the sine qua non, in our DX strategy engagements too. What we...