From vibe coding to business value
AI can now build working software remarkably quickly. The harder part is turning that code into something secure, scalable and genuinely useful.
This case study looks at a real application built in the Microsoft ecosystem, maps how to achieve it in the Google ecosystem, and what it actually took to move from AI-generated code to production-ready solutions.
It explores where AI dramatically accelerated delivery, where experienced technology judgement still mattered, and why governance, architecture, UX and business analysis remain critical.
See what happens when rapid AI development meets real-world technology discipline.
Governed AI Project Reporting: Right Tool, Right Place, Right Outcome
A governed reporting platform combined Power Automate, SharePoint, Word templates and targeted AI to streamline project status reporting while keeping people accountable for final decisions.
The solution reduced manual reporting effort, improved consistency and created a reusable project intelligence layer. AI was applied selectively where interpretation added value, while workflow automation handled predictable processes and governance remained built in from the start.
Minimum Viable Governance
Most organisations don’t get governance wrong by doing too little. They get it wrong by doing too much, or applying it in the wrong places.
In this article, Martin Adams breaks down why one-size-fits-all governance fails, and how to apply just enough control to manage risk without slowing the business down.
The Rise of the Lobster: Smarter AI, Same Failures
Agentic AI might be new. The way organisations are approaching it isn’t.
In this article, Martin Adams breaks down why the same issues that derailed RPA are showing up again, and how to avoid repeating them.
If you don’t enable your team to use approved AI tools, you’ll lose some of your best people
If you don’t enable your team to use AI, some of them will leave to use it somewhere else.
In this article, Martin Adams explores why restricting AI can quietly drive talent away, and the practical steps leaders can take to enable safe adoption while helping their people build the skills they’ll need for the future.
A policy won’t change AI behaviour. Confidence will
AI policies alone don’t change behaviour, confidence does.
In this article, Martin Adams explores why most AI policies fail in practice, the fears and uncertainty many employees have about AI, and the practical steps leaders can take to build confidence so safe AI use becomes part of everyday work.
𝐘𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 𝐡𝐚𝐬 𝐚𝐧 𝐀𝐈 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 – do 𝐲𝐨𝐮? 𝐏𝐚𝐫𝐭 𝟏 – 𝐒𝐭𝐨𝐩 𝐒𝐡𝐚𝐝𝐨𝐰 𝐀𝐈
If your organisation hasn’t approved AI tools, it’s almost certainly using AI anyway.
In this article, Martin Adams explores the rise of “shadow AI”, why banning it doesn’t work, and the practical first steps leaders should take to make AI use safe, compliant and fit for real work.
