derstand levels of acceptance and user satisfaction. This could also be expanded to take place with other datasets and in other areas of the Local Authority for a broader understanding and comparison. The feedback from UX provides detailed recommendations about how to shape the products for better reception amongst users. UX noted that the tool’s ability to quickly highlight existing information represents a significant improvement over current processes. Attendees at pilot workshops had high levels of confidence that the information presented by the tool was accurate, noting that it was the same information that was in the source system. The level and variety of interest and support received during the project lifecycle indicate that it would likely be well-received by different types of organisations. The level of engagement, including the selection by Microsoft to showcase and the recognition through the receipt of an award for effective use of data and innovation validate that the concept is well supported across innovation, technology and Social Care sectors. Research helped inform the ethical impact assessment for the project, this includes how people feel about AI (AI attitude). Given the specific research and work with professionals in this space it is clear that the benefits can outweigh concerns, as long as the AI is controlled and clear. There were no serious risks or barriers identified in terms of impact assessments and screenings for:  Data protection  Climate change  Equalities  Artificial Intelligence Ethics It is noted that there could be positive impacts especially around cultural shifts in data governance and ethical use of data for the benefit of children, families and organisations. The wider Public Sector, Local Authority and Social Care sector