If you have ever felt overwhelmed by CRM systems that are expensive, bloated and packed with features you will never use, you are not alone. Many organisations adopt powerful platforms only to discover they are adapting their sales process to fit the software, rather than the other way around. In our case, we needed something leaner, faster and fully aligned
In Episode 1, we explored the architecture behind the Everything App and explained why structure matters more than features. Now we move to the foundation. In this episode, we tackle one of the biggest untapped assets in any organisation: your hidden intelligence. Policies. Emails. Support tickets. Training guides. Product documentation. Client history. Years of experience buried in folders or locked
In the first episode, we introduced the vision: replacing over £100,000 of scattered business software with one unified, AI-powered Everything App. Now we move beyond the concept. This article explains how the Everything App is structured and why that structure is the real productivity breakthrough. Because this is not just about merging tools. It is about building a system where
Imagine replacing £100,000 worth of disconnected business software with a single, unified platform built around your own company intelligence. This is not about shaving costs from your tech stack. It is about transforming how your organisation works. In this 10-part series, we are going to show you how we built our AI-powered Everything App and how you can build your
Traditional training is not dead. It is being fundamentally reshaped. As artificial intelligence becomes embedded across the workplace, Learning and Development teams are being forced to rethink how training is designed, delivered and supported. Classroom sessions, workshops and webinars still matter, but they now operate inside a much more dynamic learning ecosystem. In this article, we explore the four most
Safe AI implementation is now one of the most important challenges facing organisations. AI is no longer experimental. It is actively reshaping how teams work, how content is created, and how decisions are made. Yet despite growing interest, many organisations remain hesitant. Not because AI does not work, but because they are unsure how to adopt it safely. This article
Education and training are not slowly evolving. They are being structurally reshaped. As we move forwards 2026, learning technology is shifting away from static courses, disconnected platforms, and one-size-fits-all content. In their place, we are seeing intelligent, adaptive, and genuinely scalable learning ecosystems emerge. Below are the five learning technology trends that will define the next era of education and
One of the biggest concerns surrounding AI in education is both simple and justified. What happens when AI gets it wrong? Anyone who has used generative AI knows it can sound confident while being completely incorrect. In education and training, that is not a minor issue. It is a deal breaker. Inaccurate content doesn’t just waste time. It damages trust
AI has become the centre of the tech world. Stock prices have surged, valuations have exploded, and billions are being poured into companies promising to own the future of artificial intelligence. But beneath the excitement, something far less comfortable is forming. The AI bubble is real. And when it bursts, it will not be the companies people expect that come
I recently returned from Africa, and it completely reframed how I view the future of education. What I found was not a continent waiting to be saved, but one full of energy, ambition and innovation. Coastal cities that rival the French Riviera, entrepreneurs in Nairobi building cutting-edge tech companies, and lecture halls in Ghana filled with students eager to compete
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