Blog
Insights on AI implementation, strategy, and enterprise transformation.
Productivity and Efficiency in the Age of AI
One of the most common assumptions about AI is that it should deliver instant productivity gains. But across many organisations, something interesting is happening. Individuals are becoming faster, yet the organisation itself is not becoming dramatically more productive. The reason is actually pretty simple. AI improves tasks, but businesses run on workflows. Until workflows are redesigned, many AI gains remain isolated at the individual level.
The Productivity Mirage: Why AI Feels Fast but Moves Slow Without Redesign
One of the most common assumptions about AI is that it should deliver instant productivity gains. After all, the tools feel instant. Individuals are becoming faster, yet the organisation itself is not becoming dramatically more productive. The reason is actually pretty simple. AI improves tasks, but businesses run on workflows. Until workflows are redesigned, many AI gains remain isolated at the individual level. Our latest article explores this idea and why process redesign is what separates the top organisations using AI from the rest.
From IT to HR: Why Agentic AI Is Becoming a Workforce Issue
Agentic AI systems can plan, reason, and complete multi step workflows with limited human supervision. As these systems move into organisations, they will begin to change how work itself is structured. This raises new questions that look less like IT problems and more like workforce management. Who is accountable for an AI agent’s decisions? How many agents should one employee supervise? What does leadership look like when people manage fleets of digital workers?
Why Culture Determines AI Success More Than Any Tool
Culture is hard to create, and even harder to maintain. But the right culture makes AI adoption so much easier. In a world where everyone has the same tools at their disposal, the only differentiator is the team and how they use them.
AI as Infrastructure: Why the Next Competitive Edge Is Operational, Not Technical
AI adoption often starts with tools and pilots. That is necessary, but it is not the end goal. The organisations that win with AI are the ones that move beyond experimentation and embed AI into how work gets done. They treat AI like infrastructure, not a side project.
The Talent Shift: Building the AI Ready Organisation
AI adoption is often discussed in terms of tools and technology. But the real transformation is happening in talent. Many organisations are struggling not because they lack people, but because they are unsure what skills, mindsets and structures an AI ready workforce actually requires. As a result, AI adoption becomes fragmented, inconsistent and difficult to scale.
Where Does AI Ownership Sit? IT, Operations or Somewhere New?
AI now touches every department, yet no department truly owns it. IT manages systems, Operations manages workflows, Strategy sets direction, and HR develops people. But AI sits across all of them.
The Hidden Cost of Not Adopting AI
Many leaders treat AI adoption as something they can revisit later. But waiting is not neutral anymore. It carries a cost that grows quietly, month after month, while competitors move further ahead.
OpenAI AgentKit: From Lab to Launch
Building reliable AI agents has always been harder than imagining them. OpenAI’s AgentKit starts to close that gap by adding structure, evaluation, and governance to the development process.
Why SMEs Struggle to Adopt AI — And Why the Real Barrier Is Human
MEs aren’t struggling with AI because of cost. The tools are getting cheaper with each passing month. So why do so many smaller businesses still hesitate? Fear of mistakes, lack of trust in outputs, stretched teams, and the belief that AI is “for big companies” all play a part.
Shadow AI: Your Biggest Risk or Your Untapped Advantage?
Shadow AI is creeping into every organisation. Just because you haven't formally adopted AI into your company's workflow doesn't mean it isn't already in use. It just means that you don't know what data is currently being shared externally or what tools your teams are using to get the job done.
The AI Bubble: Hype, Hope, and the Real Opportunity Ahead
There is an ongoing debate around the potential, even likely, bubble in the AI sector. Our experts here at Silmaril weigh in with their opinions and where they see the market today, and where they believe it is likely to go in the future.