Insights, articles and news

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Who Owns What Gets Built? The Governance Gap at the Heart of Vibe Coding

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by James Ridgway

Vibe coding has made it possible for anyone to build tools that operational workflows quietly depend on. This article argues the real question is not whether something works, but who owns it, who is accountable for it, and whether governance exists to match the pace of adoption.

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19th

May 2026

AI Data
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Connecting the Invisible Dots: Data Before AI

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by James Ridgway

Most organisations think they know where their data lives. Ask them to prove it and the picture changes quickly. This article argues that data fragmentation is the single most reliable predictor of whether an AI initiative delivers value or quietly stalls.

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18th

May 2026

AI Data
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Leeds Is Building Something Serious. Here Is What That Means for the Organisations at the Heart of It.

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by Hannah Aston

The Northern Square Mile is not a tagline. Leeds has the institutions, the investment and the government backing to become a genuine rival to the City of London. This article looks at what that ambition demands from the professional services organisations at the centre of it, and why technology decisions made now will determine who scales well and who struggles.

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15th

May 2026

News
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AI Maturity: Automation Without Intervention. The Future of SME Operations

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by Paul Ridgway

Automation without intervention does not mean removing people. It means the routine, predictable work gets handled by the system so the team stops thinking about it. This article looks at where those gains actually show up in SME operations, and why the organisations doing this well are rarely the loudest about it.

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12th

May 2026

AI
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The Output Gap: Why Vibe Coding Moves Fast and Misses More Than You Think

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by Paul Ridgway

Vibe coding makes software faster to build. It also skips every checkpoint that normally exists between an idea and a deployed system. This article argues that the risk is not in the tool itself, but in the absence of process around it, and that most organisations using it have not yet mapped where that gap actually sits.

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30th

April 2026

AI Software Development
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AI Maturity: Integrating AI into Business Workflows. What Comes Next?

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by Paul Ridgway

Most SMEs treat AI as a tool. This article argues that is the wrong frame. At the integration stage of AI maturity, AI becomes embedded into sales, finance and service workflows, delivering measurable returns through time compression, error reduction and margin protection. The real barrier is not access. It is the operational discipline and process clarity that makes integration possible.

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29th

April 2026

AI
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We Have Been Named in the GP Bullhound Northern Tech Awards Top 100

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by The Curve

The Curve has been named in the GP Bullhound Northern Tech Awards Top 100, celebrating the achievement, reflecting on the strength of the Northern tech scene, …The Curve has been named in the GP Bullhound Northern Tech Awards Top 100, celebrating the achievement, reflecting on the strength of the Northern tech scene, and looking ahead to what comes next.

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24th

April 2026

News
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AI in Regulated Environments: Governance Is Not the Barrier, It Is the Foundation

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by Paul Ridgway

AI adoption in regulated sectors like financial services and legal is being held back by governance gaps, not regulatory barriers, and firms that build compliance frameworks now gain competitive advantage.**

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21st

April 2026

AI
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Why Uncertainty Is Exactly the Right Time to Invest in Technology

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by Hannah Aston

Uncertain economic conditions are the ideal time for targeted, low-risk technology investment, because the businesses that act now build a competitive advantage that's costly for hesitant rivals to close later.

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16th

April 2026

News
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What Good Innovation Support Actually Looks Like

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by Paul Ridgway

Most innovation programmes measure activity rather than change. Innovation in Action, delivered with Business Sheffield across seven South Yorkshire manufacturers, took a different approach: real trials, in real businesses, against real constraints. The clearest lesson was consistent across every business: the constraint is rarely where you think it is.

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16th

April 2026

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