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Insights & Articles:

Building Real Capability with AI

Explore our growing library of articles designed to help business professionals, teams, and decision-makers build practical, sustainable GenAI capability — not just play with tools.

Each post offers structured insights, proof-led practices, and actionable ideas drawn from the AIBoK (AI Body of Knowledge).

Browse the series below, then connect with us to explore how this could work for your team.

 

We write for three types of readers:

  • Executives looking for clear direction and governance

  • Knowledge workers wanting to work faster and smarter

  • IT and governance professionals focused on safe, strategic use

No hype. No jargon. Just practical tips for building GenAI capability.

Beyond the Hype

Most people are stuck in GenAI experimentation. This series is for those ready to move forward — into meaningful productivity, skills that scale, and systems that stick. Starting next week.

Introducing: Beyond the Hype - A Series of Field Notes on Real GenAI Capability

Beyond the Hype

Beyond the Hype: Part 1 – The Real GenAI Adoption Challenge explores why 85 percent of GenAI pilots stall and introduces a capability-first framework to help IT & governance leaders, knowledge workers, and executives turn experimentation into real business value.

Diverse team mapping GenAI workflow on digital whiteboard in modern office

Beyond the Hype: Part 1. The Real GenAI Adoption Challenge

Beyond the Hype

How are you moving from ad-hoc assistance to systematic integration? What thinking processes are you embedding AI into, and what's blocking the transition from impressive demos to compound advantage?

Ready to build systematic capability instead of chasing the next impressive output? This is where real productivity lives.

Illustration contrasting flashy AI demo on left with a five-step workflow loop on right, symbolising productive GenAI adoption.

Beyond the Hype: Part 2. Productivity, Not Parlour Tricks

Beyond the Hype

“You can’t defend what you can’t observe — especially when the attack looks like curiosity.”
Today’s safety stack mirrors early content moderation: reactive, stateless and local. It assumes each prompt lives in isolation. That model breaks under DQA conditions

AIBoK for Cyber Resilience

The Distributed Query Attack

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