Insights
Practical writing on enterprise architecture, governed AI and dependable delivery.
Topic
Published 30 Oct 2026
AI can help each department reach an answer faster without helping the organisation decide what to do. A manufacturing example shows why ownership, authority and expertise need to work together.
Published 14 Oct 2026
Before deciding who or what should perform work, organisations need to define its boundaries. Supplier onboarding shows how clear results and responsibilities support change without creating unnecessary handoffs.
Published 30 Sept 2026
Being capable of performing a task does not automatically make something the right executor. Execution Architecture makes the choice between people, software and AI deliberate, with clear authority, workable handoffs and evidence for changing the arrangement.
Published 12 Sept 2026
Enterprise Architecture models capabilities, processes, information and applications, yet the actual unit of work often remains implicit. Making work an architectural artefact creates a stable foundation for changing execution without losing purpose, control or accountability.
Published 1 Sept 2026
Applications have long anchored Enterprise Architecture because they were where work happened. AI changes that assumption. As work moves between people, software and autonomous agents, applications become one execution resource among several, allowing architecture to organise around the work instead.
Published 24 Aug 2026
AI is blurring the boundary between the organisation and the technology that supports it. Work can increasingly move between people, AI and conventional software. This article explores the Executable Enterprise and why separating work from its execution may be essential to Continuous Enterprise Evolution.
Published 15 Aug 2026
Transformation assumes that an organisation can define a future state and then move towards it. AI is making that assumption increasingly fragile. In this article, we explore why Continuous Enterprise Evolution may become a better model and what that means for the future of Enterprise Architecture.
Published 10 Aug 2026
Enterprise Architecture has traditionally optimised systems. AI is shifting attention towards the work organisations perform and how that work continuously evolves. This article introduces the thinking behind NativeWork™ and WorkML™, and why work may become the next primary architectural concern.
Published 6 Aug 2026
For decades, Enterprise Architecture has helped organisations optimise systems. AI is changing the optimisation target. Perhaps the next evolution of Enterprise Architecture is not about better technology, but about continuously redesigning work itself.
Published 1 Aug 2026
AI changes who performs the work. Enterprise Architecture should therefore model work independently from the people, applications and agents that execute it.
Topic
Published 16 Oct 2026
AI changes more than the speed of writing code. As agents take on design, deployment and operations, engineering teams need a clearer view of what they delegate, how they develop people and which products deserve to be built.
Published 19 May 2026
Keep original documents authoritative while making extracted text, embeddings and indexes rebuildable, traceable and ready for change.
Published 13 Nov 2025
Reliable AI needs sound software engineering: clear architecture, testing, security and operational discipline beyond the prototype.
Published 30 Oct 2025
Explore Python engineering choices for faster, more dependable RAG data pipelines, from preparing documents to chunking and embeddings.
Published 17 Oct 2025
Understand the layers of retrieval-augmented generation, what can be reused and how data, embeddings and retrieval shape dependable answers.
Topic
Published 8 Nov 2026
A client may not need your source code to build an alternative to your service. Clear agreements should address how information and results can be used, including by AI.
Published 29 Jul 2026
Robotics may create more value by redesigning work around specialised machines than by trying to replicate people with humanoid robots.
Published 29 Oct 2025
Evaluate AI suppliers through outcomes, evidence, privacy, model updates and repeatable quality tests, rather than relying on impressive demos.
Published 22 Oct 2025
Explore AI browser risks, including prompt injection, access to signed-in sessions, sensitive data and the boundaries needed for safer use.
Published 15 Oct 2025
Stay informed about AI without chasing every announcement. Define your scope, choose trusted sources and connect learning to your work.
Published 7 Oct 2025
Better AI prompts start with clear instructions, useful boundaries and a conversation that keeps the assistant focused on your purpose.
Published 23 Sept 2025
AI could reshape African agriculture. Explore the implications for local livelihoods, accountability and the governance of automated farms.
Published 22 Sept 2025
An introduction to AI beyond chatbots, exploring specialised models, systems that take action and the questions they raise for people.
Published 8 Sept 2025
AI should strengthen human judgement, not replace accountability. Start with human outcomes and design work around people and their strengths.