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...
Reimagining Organizational Design with Composable Business Models
Composable business models are transforming organizations by prioritizing modularity and flexibility. This article explores their principles, benefits, challenges, and future relevance in a rapidly changing world....
Facial Recognition for Indian Fashion Retail
Industry captains of the fashion retail industry in India are starting to get curious about deep-tech. One element being facial recognition. Not much has happened yet, though opportunities abound and there are some lessons to be learnt from other retail verticals. In other retail verticals, most of the use...
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...
Cloud Adoption – Who is Responsible?
Appears, if you read news reports, that phenomenal percentages of companies have started, accelerated or have completed their Digital Transformation during the last 15 – 18 months due to COVID. Similarly, COVID certainly has dramatically accelerated the pace of cloud adoption . But, these reports need an extent of...
The world of RPA needs Open Standards
As a technology develops, proliferates, matures along with demand, people start questioning its ability (or lack thereof) to deliver on promised improvements in innovation, new (or increased) revenue streams and cost savings and the like. Those three are the final outcomes in any case. And now, those questions are...
Making Digital Transformation strategy practical
Short read on how to measure Digital Transformation strategy on its impact and deliverability. Experience based. ...