From building your first data strategy to implementing AI systems and establishing governance frameworks, find practical approaches, assessment tools, and real-world guidance drawn from major implementations across enterprise, government, and regulated industries.
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We support organisations across the full data and AI lifecycle - from strategy and governance to technology deployment and compliance. Practical guidance, real-world implementation, measurable outcomes. We help organisations across the full data and AI lifecycle, from strategy and opportunity assessment to governance implementation and technology deployment. From maturity assessments to AI system design to compliance frameworks, get practical guidance.
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This post dives into a crucial diagnostic tool, the data maturity assessment, an the essential starting point on your data and AI journey.
In this post we dive into the core mechanisms for identifying, securing support for, and prioritising data use cases.
In this post we dive into the critical components of a data strategy that ensure alignment, execution, and value realisation.
In this post we cover the essential facts about data that every leader should be aware of.
In this post we unpack what a data strategy is, why its implementation is urgent, and the tangible costs of falling behind.
As AI becomes integral to our lives, one thing stands out: the human experience remains paramount for customers. Read our piece on what customers really want.
Read our article in the London Chamber of Commerce Business Matters magazine on data monetisation and how data should be considered an organisational asset with a monetary value.
Unused dashboards demoralise analysts and waste resources. In this post we delve into how to avoid this by listening, solving real problems and empower users strategically.
The honest answer is both - depending on where you're investing and what you're measuring. AI is delivering measurable ROI in specific sectors and use cases today. But investment levels in others are outpacing economic fundamentals significantly.
The critical question isn't "is AI real?" It's "where is AI real for my organisation?"
Explore this in our UCL Executive Education Webinar Series.
This depends entirely on your organisation's position, resources, and risk tolerance. Early adoption gives competitive advantage in some contexts and burns capital in others. The difference is usually data readiness and governance maturity.
Start with our maturity assessment to understand exactly where you stand before making that decision.
Most first AI projects fail not because the technology doesn't work, but because the data foundation wasn't ready, the use case wasn't specific enough, or governance wasn't in place before deployment began.
Before trying again, you need a clear diagnosis of what went wrong. Our maturity assessment identifies exactly where the gaps are so your next investment starts from a position of strength, not hope.
Most organisations evaluate AI investments the wrong way - focusing on the technology rather than the business problem it solves. The right framework asks three questions: What specific outcome are we trying to achieve? Does AI give us a materially better path than alternatives? And do we have the data foundation to make it work?
Explore this in our UCL Executive Education Webinar Series.
Vendor claims are outpacing delivery by a significant margin right now. The practical criteria we use: Can they show you working deployments in your sector? Can they explain exactly what the model does and doesn't do? And can they quantify outcomes in business terms, not technical ones?If the answer to any of these is vague, that tells you everything.
Explore this in our UCL Executive Education Webinar Series.
Organisational structure for AI isn't one-size-fits-all. It depends on whether AI is core to your business model or an enabler of it. What's consistent across successful transformations: governance sits at leadership level, not IT level. And reskilling starts with literacy, not technical training.
This is part of what our Responsible AI for Business Leaders programme covers.