 Intelligence Specialist 1x FTE Subject Matter Expert from Children’s Social Care Support from NYC Technology service, Transformation service Support from Microsoft and Simpson Associates Azure Data Factory, Azure SQL Database, Azure AI Service, Azure AI APIs: - Entity Recognition - Optical Character Recognition Virtual Networks (VNet), Private End Points Blob Storage Data from case management system (LiquidLogic) Activities Technical discovery and development activities Engagement with practitioners, including presentations, workshops and surveys User experience testing A search tool which will index and query both structured and unstructured data held within the current case management system A tool that auto- generates ecomaps of relationships Practice guidance for use A working prototype of search and ecomaps is created. Practitioners and technical staff given the opportunity to test and provide feedback in order to shape future iterations of the tool. Longer term change mechanisms would include: Continued usability testing to understand use by practitioners Training Comms and engagement (internally, externally) Short term The working proof-of- concept tool capable of searching data held in the Case Management System and creating ecomaps demonstrates that it could: - Reduce time spent on data retrieval tasks - Improve understanding of networks around children - Improve the outcomes for children and families - Improve wellbeing for social workers. Medium Term Better involvement of networks in plans to keep children safe. More children cared for within their network rather than with foster carers. Long term Extending the capabilities of the tool to other areas of the council (e.g., Adult Social Care) National usability and scalability through dissemination of the tool