pplication was challenging when working in an exploratory context What can be learned from the delivery methods used?  Failure is okay and to be expected when being innovative, however, it is critical to fail as quickly as possible and pivot to an alternative approach Could the intervention have been procured and delivered for less cost?  In December 2023 the technical architecture was simplified to create a more cost effective solution. The infrastructure was altered to a data factory model, which removed the necessity to use custom functions as in data factory “off the shelf” AI services could be accessed in a private environment. Reference Fig. 3 Technical Architecture Diagram on page 22  Further cost efficiency has been made through the use of synchronous and asynchronous API calls to the AI services How has the context influenced delivery?  Third-party experts have influenced the direction and decisions, it has expediated some elements of work and delayed others, e.g., time taken to draft and agreeing contracts for working with data analytics specialist during the delivery stage caused some delays  Delivery partners have enabled costs to be reduced  The project has been able to contribute to and learn from the emerging Public Sector approach to AI in practice How did external factors influence the delivery and functioning of interventions?  There was a delay to the start of the project relating to the time taken to achieve agreement for the funding of the project 18 OFFICIAL - SENSITIVE How did external factors influence the attitudes and behaviours of target groups?  The project team were aware of potential negative views due to concerns about new technology and use of AI (generally and in children’s social care) Summary of process evaluation There were a 