pact Summary of Impact Evaluation The intervention achieved the expected outcomes related to core functionalities of search and ecomaps. Detailed baselining data was captured as anticipated, and potential service benefits were identified initially and validated during pilot workshops. All activity was standalone work associated with the proof of concept, ensuring that outcomes could be directly attributed to the intervention. Several causal factors contributed to the observed impacts: - The lack of dependencies and links with other existing or live systems facilitated development - The organisational culture of NYC and DfE allowed for exploratory work - Senior stakeholder support played a crucial role in facilitating progress External factors, such as delays due to challenges accessing AI services in a private environment, influenced the outcomes, in particular how refined the product was and the scale of the pilot with users. Unintended, positive outcomes include the intervention's contribution to shaping the wider Public Sector, Local Authority, and Social Care sectors' approach to using AI in practice. 20 OFFICIAL - SENSITIVE 4. Evidence 4.1 Tool Development 4.1.1 Summarised Timeline of Development June 2023: Set-up knowledge mining resource group. Determined the requirements for:  Storage  Database  Connections  Size of data  Frequency of updates  Required functions July 2023: Set-up the secure environment for the resource group, built infrastructure to lock down the resource group behind a virtual network (to ensure data is secure when in transfer and at rest). Each component needed to be secured behind private endpoints – tested the security to ensure it is robust. Moved data from on premises to LiquidLogic database and LiquidLogic file store storage contain