Insights
Common AI Readiness Mistakes (and How to Avoid Them)
Based on working across multiple industries and customers, we’ve seen every kind of AI implementation mistake an enterprise can make. Let us share what we’ve seen happen, and how to avoid it.
AI Readiness: Your Questions Answered
We’ve compiled and answered some FAQs we’ve had across our AI transformation customers in multiple different industries. Read on to find out more.
AI compliance: what enterprises need to know for 2026
Moving from AI theory into AI operations leaves many leaders behind from a regulation and compliance perspective. Here’s what you need to know for 2026.
AI for innovation: creating a culture of experimentation
Our customers commonly struggle with the culture behind innovation - not just allowing, but encouraging, their brightest minds to explore and invent. Read on for our AI-native recommendations.
Why most AI projects fail (and it’s not about the technology)
Innovation versus governance doesn’t have to be a trade-off, and can lead to greater advantages. Read on to learn how CTOs, CSOs and CIOs balance both.
Practical Security Guardrails for Large Language Models
Actionable techniques to ensure secure LLM deployments that balance innovation with function, from using prompt injection protection to ethical use and access controls.
The Paris AI Action Summit Day 2: When Politics Met Technology
Our day 2 of the Paris AI Summit tackled the intersection of policy, ethics, and innovation and highlighted the collaboration between leaders and tech.
The UK Pension Revolution: From Industrial Pioneer to AI Innovation
Explore how the UK’s pension sector is embracing AI to modernise operations, improve service and meet evolving regulatory demands.
The AI Paradox: Balancing Hype, Revenue, and Real-World Implementation
Explore the AI paradox: balancing hype, revenue, and real-world implementation. Discover why tech giants struggle with AI ROI and learn about key challenges hindering AI adoption. Uncover strategies for successful AI integration, including process redesign and data strategy. Gain insights on bridging the gap between AI's potential and profitable implementation in this comprehensive analysis of the AI revolution.
AI-Powered Software Development: Reimagining Innovation in the Enterprise and Beyond
Explore how AI-powered software development is revolutionising innovation in this insightful blog. Discover how AI is democratising software creation, lowering barriers to entry, and enabling rapid prototyping, which accelerates the innovation cycle. Learn how enterprises can leverage AI to foster agile transformation, cross-functional collaboration, and continuous innovation. The blog also delves into the broader economic impact, including the rise of citizen developers, new business models, and global economic equalisation. Uncover the challenges and considerations as AI reshapes the software development landscape and the future of entrepreneurship.