GENERATIVE ATTITUDE

Part 2 of Building an Organisational Context Graph A context graph becomes valuable only when it helps someone make a better decision, complete a task or understand the consequences of a change. Part 1 explained the concept: a context graph connects organisational entities to the relationships, evidence, policies, ownership and…

Part 1 of Building an Organisational Context Graph Most organisations do not have an information shortage. They have a context problem. Customer records sit in one system, contracts in another, policies in document repositories, process rules in spreadsheets, and operational decisions across tickets, emails and workflow tools. Each source may…

The EU AI Act is no longer a distant policy discussion. It is one of the world’s most significant horizontal AI regulatory frameworks, and it is already influencing how businesses build, buy, deploy, govern, and sell AI systems. Its reach is not limited to companies headquartered in Europe: depending on…

Part 1 of this series explained what the EU AI Act is, who it affects, and how its risk-based framework works. The next question is more practical: how should organisations change the way they design, build, release, and manage AI products? The strongest response is not to create a separate…

Why the Future of AI Is Orchestrated: Designing Best-in-Class Architectures for Autonomous AI Workflows Enterprises are moving beyond isolated prompts and one-off copilots toward systems that can plan, act, verify, escalate, and improve across real business processes. That shift is changing how AI solutions are designed. The winning pattern is…

The Rise of the Context Layer: Memory, Tools, Data, Policy, and Intent, and Why Better Context, Not Bigger Models, May Define the Next AI Breakthrough For the last two years, the AI conversation has been dominated by scale: more parameters, larger training runs, bigger infrastructure budgets, and the race to…

The Agent Control Plane: How Memory, Tools, Identity, Permissions, and Trust Will Define Production AI Agents AI agents are moving from impressive demos to operational systems. The next phase of adoption will not be defined simply by larger models, longer context windows, or more autonomous behaviour. It will be defined…

The Practical Guide to MCP: Use Cases, Design Considerations, and Implementation Patterns As teams move from simple chatbots to production-grade AI systems, one challenge keeps surfacing: how do you connect models to real tools, real data, and real workflows without building a custom integration layer for every application? This is…

Quantum Computing and Its Impact on AI: What’s Real, What’s Next, and What Leaders Should Do Now Quantum computing has moved from theory-heavy physics labs into the strategic planning of cloud providers, chipmakers, governments, and enterprise R&D teams. At the same time, artificial intelligence has become the defining software platform…

Beyond ChatGPT: 5 Specialized AI Tools Redefining Content Creation in 2026 Generative AI is no longer a one-tool conversation. By 2026, content creation has evolved into a workflow problem, not just a prompting problem. While ChatGPT remains one of the most recognizable AI interfaces, serious marketers, editorial teams, creators, and…