Insights & Perspectives

Exploring the intersection of architecture, innovation, and business value

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Looking Beyond Theatrics: How Operational Architecture, Culture, and Explainable AI will improve Reliability

Organisations often pass compliance audits but fail operationally—this is 'resilience theatre'. True reliability requires three elements: operational architecture as discipline, culture as foundation, and explainability (now via Explainable AI) as trust layer. Reliability success means moving beyond documentation to genuine capability—preventing failures, not just recovering from them.

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The Reliability Paradox: How Buzzwords, Bad Implementation, and Organisational Dysfunction Are Killing Reliability Objectives?

Reliability has become a buzzword trap. Despite advanced tools, systems fail due to poor systems thinking, weak design assurance, and organisational dysfunction. True reliability demands aligning teams with architecture, treating it as a business metric, and prioritising disciplined engineering over hype. Without cultural alignment, observability and automation mean nothing.

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Enterprise Architecture in Post-AI reality: Time to Shift the Balance?

If you're wrestling with Enterprise Architecture frameworks that feel more like anchors than assets in today's fast-paced world, this article speaks directly to you. The core insight is refreshingly simple: rigid governance models are killing agility, and it's time to embrace a more adaptive approach. By combining Just-in-Time Architecture with AI-powered agents, you can automate the tedious grunt work—scenario preparation, evidence collection, risk analysis—freeing your team to focus on what truly matters: strategic decisions that move the needle. Think of AI not as a helpful assistant, but as a genuine co-architect and co-thinker that challenges your assumptions, simulates outcomes, and catches risks before they become problems. The result? A continuous, intelligent architecture that evolves with your business needs rather than fighting against them. Whether you're leading a transformation or just tired of slow approval cycles, this perspective offers a compelling path forward. The question isn't whether to adapt—it's whether you're ready to lead the charge.

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Embracing Just-in-Time Architecture with AI Insights

Enterprise Architecture (EA) has long been the strategic backbone of IT-business alignment, built on structured frameworks. For decades, these frameworks provided stability, control, and meticulously designed blueprints that guided business evolution through carefully planned program increments. That was the playbook until now. But, the rules are changing.

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From Fast Wins to Long-Term Value: Navigating Low-Code/No-Code Anti-Patterns

With low-code and no-code (LC/NC) platforms, organisations finally have the tools to take some of the app-building workload off engineers shoulders. Empowering teams to create and deploy applications quickly, these platforms promise faster results, lower costs, and greater flexibility. Yet, as appealing as this is, many find it hard to get these platforms right. It is very tempting to just do it and make it as you go along. In the case of LC/NC, teams may rush in without fully understanding the potential pitfalls, leading to outcomes that don't match expectations.

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