Keys to Winning with GenAI

The GenAI & Agentic AI Race is On… I was on a call with Steve Burkefrom iqbusiness this week, and he was describing how his team is leveraging Agentic AI, RPA, and GenAI to transform the user experience and operational processes for a number of well-known banks.  Steve does a great job of breaking things

Executive Summary I’m bullish on GenAI – and I’ve got the scars to prove it. The promise is clear: natural-language intelligence applied to your data and processes can drive growth, deeper customer relationships, better margins, and real productivity. But it’s not plug-and-play – it demands data readiness, end-to-end orchestration, retraining builders, and responsible AI with

Executive Summary While GenAI has raised the bar of what organizations can deliver, most are still struggling to turn promise into impact, and 2026 must be the year we close the gap. Consumer GPTs proved what’s possible, yet enterprise value lags due to a range of challenges. Experiments and hackathons helped, but they won’t scale.

Executive Summary GenAI’s potential is massive – but it’s definitely not “plug and play”, and beneath the hype sits real complexity…  Your data must be “GenAI Ready”, your people will need a wide range of new skills, and your dreams of Agentic AI-enabled Intelligent Automation need to be approached with care.  In addition, if you

A closer look at the integrated insights needed to enable data-driven decisions across your GenAI adoption efforts.