ed 981 Children and Young People’s Services (CYPS) colleagues - 218 responses  Initial user feedback from CYPS locality events - 211 responses  Continual review by technical, practice and user experience experts  User testing groups/pilot workshops 6 OFFICIAL - SENSITIVE Key Findings The project has contributed to debate and an emerging approach to the use of AI in Social Care practice, as well as the wider Public Sector. This is both in real terms and to inform the strategic direction of innovation and ideation of what services might look like in the future. The work gives confidence about AI in practice and informs the ethical and practical guardrails required to ensure practice remains safe and person centred. This work has also been able to evidence the data retrieval burden social workers currently face. Previous reviews and studies have focussed on the time social workers spend at their computers. This work has been able to break that down further into productive and unproductive tasks, associating real world costs to tasks, and potential savings, in a way that has not been available before. Using data collected at case study workshops, in a baseline survey and at pilot workshops, taking one example of a task that is carried out frequently, “finding a recent safety plan”, there was a significant reduction of seconds for this task. Baseline readings for time taken to find the most recent safety plan was estimated to be 180 seconds, which increased to approximately 200 seconds when an additional cohort of respondent data was collected. After several user testing sessions with the proof-of-concept product, the longest time taken to perform the same task was 20 seconds. Comparing 20 seconds against either the 200 or 180 second values represent a reduction of over 9