Case Studies
Evidence-led delivery stories for complex technology work.
Initial case studies are anonymised and structured around challenge, method, system delivered and impact.
Anonymised delivery examples
Secure cloud data ecosystem
A privacy-aware data platform bringing together ingestion, harmonisation, analytics and reporting across complex data streams.
Accelerated access to decision-ready data while supporting governance needs. Finance and customer intelligenceIntelligent decision-support platform
A bespoke AI platform using case-based reasoning and predictive modelling to support customer and market decision-making.
Unlocked insights from complex data that were previously difficult to detect. TransportRail operational intelligence and simulation
A high-complexity rail technology programme using simulation, data engineering and decision support to improve operational planning.
Millions of simulations available for route and timetable optimisation. Health and life sciencesResponsible AI roadmap for a regulated enterprise
An enterprise AI roadmap aligning governance, technical feasibility and practical adoption across a complex organisation.
Helped senior teams prioritise AI investment with clearer risk and delivery logic. EducationResponsible AI for education support
A responsible education AI strand focused on earlier, fairer and more reliable identification of learner strengths and needs.
Prepared for teacher-in-the-loop workflows, explainability, safeguarding and data protection. Education and SENResponsible AI for SEN and neurodiversity identification
DAS is developing responsible AI approaches that help education teams identify learner strengths, access barriers and neurodiversity-related support needs earlier and more consistently.
Builds on prior inclusive-assessment R&D, including the Ability project, with education-domain input, responsible AI governance and specialist assurance.