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AI Governance

AI Haze: The Quiet Cost of Moving Fast Without Looking Back

By Andrew Morgans / April 16, 2026

Twelve months ago, the conversation in most boardrooms was about getting AI into the business. Today, the better question is whether anyone still knows what the business has got. Copilot licences have now been rolled out, developers are leaning on tools like ChatGPT and Claude daily for code generation to allow them to move faster…

Staying Human in a World Run by Machines

By Jade Bliss / March 26, 2026

I’ve spent most of my career in and around digital delivery. Different organisations, different sectors, different technology stacks. Across all of it, I’ve had a version of the same conversation more times than I care to admit. A client comes in with a clear ask – build us a Power App, automate this process, give…

Silent Waste: The Hidden Cost of Weak Digital Foundations

By Richard Asquith / February 23, 2026

Most business leaders know when something isn’t quite right. Revenue grows, teams stay busy, technology spend is healthy, yet margins remain flat and everyone feels permanently stretched. The visible costs are managed deliberately – headcount, technology, premises – but something else is consuming resources without appearing cleanly on the profit and loss account. It’s the…

The Split-Brain Workflow

By Pete Oare / January 28, 2026

Why I Hired Claude Opus as My Architect and Gemini 3 as My Consultant For a long time, I tried to be “AI monogamous”. I wanted one subscription, one chat window and one answer. I spent months trying to force Google Gemini to be a perfect in-line code architect, and just as long trying to…

Why AI Success Depends on Your Data Foundations

By Jason Betteridge / January 7, 2026

AI-First Thinking Is How Circyl Has Always Worked Artificial intelligence has moved from curiosity to capability at remarkable speed. For many organisations, it now sits awkwardly alongside legacy processes, fragmented data and operating models that were never designed to learn, adapt or scale intelligently. Circyl’s position is different. Not because we adopted AI early, but…

Leveraging Image Analysis with Azure AI

By Dom Tuck / July 31, 2025

Exploring a practical application for Computer Vision in process automation Image validation and manual review are often overlooked sources of inefficiency. When teams are forced to sift through thousands of photos – whether from delivery drivers, field engineers or customers – it eats into valuable time, slows decisions and makes it harder to enforce consistent…

Shadow AI – Navigating Hidden Risks and Unlocking Opportunities

By James Orton / April 7, 2025

A recent BBC article highlighted a rising trend in workplaces: employees independently adopting AI tools without formal oversight, a phenomenon now known as “Shadow AI.” At Circyl, we have noticed that this unofficial adoption typically isn’t driven by employees looking to sidestep policies. Instead, it reflects a genuine desire to boost efficiency, speed, and creative output. While…