AI Strategy

Many organisations are investing in AI, but only a small group are getting AI right and seeing meaningful results. Research from a range of respected institutions, including Harvard, MIT, McKinsey and others, points to the same conclusion. The technology itself is rarely the obstacle. The real challenge is how organisations prepare for AI, structure around it and ultimately make it part of how they work. In our work across sectors such as retail, travel, financial services an

The shifting ground beneath UK business After years of steady hiring, the UK labour market has turned. Unemployment has risen to 5% , the highest in four years, and vacancies have dropped by more than 200,000 since early 2023. According to the Financial Times , employers are facing “ the most difficult combination of rising costs and weak demand in a decade ,” as higher National Insurance contributions, increased corporate tax, and regulatory uncertainty weigh on business con

The hype is moving faster than the people Generative AI was the headline of 2024. Now the conversation’s shifting to agentic AI : systems that don’t just generate content but make decisions, act, and learn as they go. It’s impressive stuff. But there’s a problem: the people using it often don’t have the skills - or the guardrails, to use it properly. We’ve all seen it. Tools are getting smarter, but the workforce hasn’t caught up.That’s not a tech gap. It’s a capability gap.

There’s a bit of a Wild West going on with AI right now. Everyone’s experimenting - marketing with ChatGPT, HR with Co-Pilot, analytics teams with Gemini - and most of it’s happening without much coordination. Some of it’s brilliant. Some of it’s chaotic. And some of it, if we’re honest, is probably a GDPR nightmare waiting to happen. It feels a lot like what happened when ERPs, data platforms, and BI tools first arrived. Everyone wanted in. Everyone built something. A few y

In almost every leadership workshop we run at Beyond: Putting Data to Work, there’s a moment when someone asks: “Okay - I understand the...

When I talk to executive teams about AI agents, there’s always a point where the conversation shifts. We start with the practical: use cases, data readiness, governance. But then someone inevitably asks:“Where does this all lead? What does an AI agent-enabled enterprise actually look like?” It’s a powerful question — because it moves the discussion beyond pilots and proofs of concept, toward the bigger picture: the rise of the autonomous enterprise.

A how to guide, the first in a series, helping you get your head around how to prepare your business for AI in 2025

The pace of AI innovation is really staggering. Generative AI, multimodal models, and agent-based automation are opening new possibilities — but they also create new complexities.

An easy guide to getting your AI strategy down on paper in 2025.

Read about the process and challenges of optimising and scaling your AI solutions across the business in 2025.

Read our insights into navigating the complexities of AI integration—helping you execute each phase successfully.

AI Infrastructure: Building the Foundation for Scalable, Responsible AI In our previous post, we explored why a tailored AI strategy is...