BrightState’s goal is to make AI feel understandable, safe, and practical so that staff can collaborate with well‑designed systems that improve efficiency, reduce errors, and unlock savings worth millions over time. The emphasis is on everyday confidence: giving professionals the language, examples, and hands‑on practice they require to question, supervise, and get real value from AI in their own roles
Meet the Team
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BrightState is led by David Doyle, an education and safeguarding practitioner with over 12 years’ experience in UK schools and multi‑agency work, including frontline teaching in Glasgow and collaboration with councils and safeguarding organisations. His background covers both classroom realities and strategic conversations about risk, governance, and public accountability.
Doyle holds a Post Grad in Education, a BA in Digital Media, and a Diploma in Web Content Development, alongside advanced training in AI Fundamentals and AI and Digital Transformation in Government at Saïd Business School, University of Oxford. This specialist focus on responsible AI, change management, and data governance in public institutions shapes BrightState’s programmes, which are designed to align with legal duties, data protection requirements, and organisational AI strategies.
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Our technical operations are run by Ben, a Data Scientist and Developer specialising in applied statistical modelling and automation. His experience spans government teams, large organisations, and start-ups, where he has built end-to-end analytics: from data cleaning and feature design to prediction models, task automation, and chokepoint analysis. He has supported projects in pricing, procurement, and operational performance, always within strict data-handling and assurance requirements. Ben takes pride in turning complex datasets into concise, decision-ready reporting, blending statistical rigour with an intelligence-brief style that can inform senior stakeholders quickly. He works fluently across a variety of languages, developing ways to harness computational power, reducing human effort and error. This emphasis on reproducibility, governance, and clear communication helps clients move from “data available” to “data supported” with confidence.