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Most organisations that engage with a technology sandbox arrive with a version of the same question: is this just a glorified demo environment, or does it change anything? It is a fair thing to wonder. The word "sandbox" has been stretched to cover everyt

The Story Nobody Told You At a platform engineering summit in London late last year, a CTO raised his hand during a panel on AI coding tools. His team had deployed GitHub Copilot to every developer twelve months earlier. Usage was high. Sentiment was posi

Three-quarters of UK financial institutions are now using AI. The FCA and Bank of England confirmed this in their most recent joint survey - and the Treasury Committee has since put the entire sector under scrutiny, expecting evidence-based governance, no

Insights from an interview series with Karan Jain and Sanjay Sankolli (Truist). Enterprise AI isn't failing because the models are weak. It's failing because most organisations lack the foundational data architecture required to support rapid deployment w

Every enterprise has a system of record for finance. For customers. For code. For risk. None of them has one for the decisions that determine which technology enters their estate. The single most consequential act in enterprise technology - choosing what

In the race to dominate the AI landscape, most enterprises are focused on the wrong race. They are obsessing over the processing power of GPUs and the sophistication of Large Language Models (LLMs), while ignoring the invisible friction that is actually s

Most enterprise AI initiatives fail because they are "AI Theater" - activities that look like progress (pilots, demos, hackathons) but lack the structural integrity to generate ROI. In a recent conversation, Karan Jain (NayaOne) and Sanjay Sankolli (Truis

London - April 9, 2026 - As financial institutions move deeper into blockchain, tokenised assets, digital securities, cross-border payments - a new category of operational risk has emerged. NayaOne is partnering with CredShields to help banks evaluate and

One of the most consistent observations from large-scale AI programmes is the persistent gap between what the technology could do and what organisations are actually doing with it.In Part 2 of our CDO Magazine conversation, between Karan Jain, CEO at Naya

AI innovation is progressing at a striking pace. Powerful new models, agents and specialised tools are emerging almost daily, driving strong demand from business leaders across every function. Yet most large organisations continue to evaluate these new ca