-
Continue reading →: Beyond Productivity: How to Measure the Real ROI of AI AutomationTime saved is not enterprise value. This framework connects AI telemetry to verified outcomes, realised economics and downside exposure.
-
Continue reading →: Open Models Do Not Create Sovereignty. Governance Does.Open models can strengthen enterprise control, but they do not create sovereignty by themselves. The real advantage comes from a hybrid control plane that makes every workload governable, observable and reversible.
-
Continue reading →: The Real Economics of Open-Weight AI Models: Build, Buy or Deploy Your Own?Open weights change who owns the model, not whether inference has a cost. The right sourcing decision depends on workload shape, quality, controls, resilience and the tested value of an exit route.
-
Continue reading →: The Open Model Revolution Is Really an UnbundlingOpen weights are widening enterprise choice, but they do not make intelligence free. The real competitive shift is the unbundling of models from compute, inference, data, workflows, evaluation and governance.
-
Continue reading →: AI Agents vs Traditional Automation: Put the Model Inside the Control PlaneEnterprises do not need to choose between deterministic workflows and AI agents. They need to decide where uncertainty creates value, then keep authority, state and recovery inside a deterministic control plane.
-
Continue reading →: The AI Copilot Is Not Disappearing. It Is Getting an Execution LayerEnterprise AI is moving from suggestions to actions, but the real shift is delegated authority. A practical guide to architecture, controls and workflow fit.
-
Continue reading →: The Death of SEO? How AI Is Rewriting the Rules of Digital DiscoveryAI answer interfaces are unbundling visibility from the click. The winning response is not to abandon SEO, but to manage a broader evidence and discovery system.
-
Continue reading →: How to Build an Organisational Context Graph: From Use Case to Working PilotPart 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…
-
Continue reading →: Context Graphs Explained: Connecting Organisational Knowledge, Data and AIPart 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…
-
Continue reading →: The EU AI Act Explained: What Every Business Leader Needs to Know Before It’s Too LateThe 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…
Hello,
I’m Aldrius
Welcome to my blog!
This blog is an experiment in thinking with AI. I pick topics I’m curious about, ask AI to research the internet, and have it draft a post from what it finds.
Part test, part creative process, part reality check. The goal is to see what happens when curiosity, human judgement, and AI collide, and what that means for how we learn, write, and build in the future.
Let’s connect
Join the fun!
Stay updated by joining our newsletter.