When artificial intelligence first hit the mainstream, many businesses believed only large enterprises with deep pockets and trained AI engineers could benefit. But by 2025, that notion has been fundamentally challenged. Today, small and mid-sized companies are using AI without dedicated AI teams and doing so effectively. Why the Old...
AI Copilots Are Everywhere. But Who’s Driving the Workflow?
In many organisations today, AI copilots are becoming common. They draft emails, summarise documents, answer questions, and even suggest next steps. On the surface, it looks like work should be moving faster. Yet when you look closely at day-to-day operations, very little has actually changed. Tasks still wait for approvals....
OpenClaw — The Open-Source Agent Framework Reshaping AI Workflows
MoltBot is rapidly becoming one of the most interesting open-source frameworks for building production-grade agent systems. It supports tool-calling, memory modules, safety hooks, and multi-step reasoning out of the box — making it easier to move from prototype to reliable automation. A strong indicator of where agent frameworks are heading...
Agentic AI: What’s Real vs What’s Just Marketing
Agentic AI is one of the most talked-about enterprise AI trends heading into 2026. From boardrooms to product demos, it’s often positioned as the next evolution of artificial intelligence, systems that don’t just respond to prompts, but plan, decide, and act autonomously. But as with many emerging AI concepts, there’s...
From Manual Follow-Ups to Intelligent Workflows: What Actually Changes
In many organisations, workflow delays are rarely caused by system failures. They are caused by uncertainty. A task is completed, but the next step does not move forward because no one is entirely sure who needs to act next, where the request is sitting, or whether it has already been...
Why AI Projects Stall After the Pilot Phase
In many organisations, AI pilots don’t fail. They simply stop moving. The pilot runs successfully, results are shared internally, and the initiative is labelled a success. Yet months later, the AI solution is still not part of day-to-day operations. Teams continue working the same way they always have, and the...
Best of Nibbles 2025
A Curated Collection of Articles That Will Stand the Test of Time Every month, Nibbles attempts something simple and deceptively hard:to curate articles that are worth your time. Not trending.Not loud.Not driven by the algorithm of the week. As the year comes to a close, we found ourselves asking a...
Enterprise AI & Transformation in 2026: What’s Really Changing
Most enterprises will still be “experimenting” with AI in 2026.The winners will be the ones quietly making it work every day. The AI Conversation Is Growing Up For the last few years, AI conversations in enterprises have been filled with excitement, experimentation, and bold promises. As we move into 2026,...
The Automation Trap: Why Most Companies Automate the Wrong Things First
A few months into an automation initiative, the same question starts circulating quietly inside organisations:“Why are we automating so much, yet seeing so little change?” Dashboards look better. Tools are in place. But workflows still stall, teams still intervene manually, and exceptions still pile up. The promise of automation feels...
The Hidden Barriers Slowing GenAI Adoption (and How to Overcome Them)
Generative AI has proven its potential across enterprises, yet a growing gap remains between experimentation and real, measurable business value. Despite high awareness and investment, many organizations still face difficulty in scaling GenAI beyond pilots into production-ready systems that impact outcomes. One of the biggest barriers is security, governance, and...