Context-Aware Agentic AI for Justifiable Enterprise Decisions - Executive Summary of Kaiasm's Case Study

This is a 1-page Executive report of a long version case study developed by Kaiasm as part of their participation in The Turing Way Practitioners Hub in 2024-25.

A long version will be uploaded to this Zenodo page soon.

Acknowledgements

This case study is published under The Turing Way Practitioners Hub 2024-25 Cohort - case study series. The Turing Way Practitioners Hub works with experts from partnering organisations to promote data science best practices. In 2024, The Turing Way team welcomed Laim McGee and James Harvey as Experts in Residence to represent interests and opportunities for AI companies in improving business operations. We thank them for leading the development of this case study. 

This work is supported by Innovate UK BridgeAI. The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 & The Alan Turing Institute. The Turing Way Practitioners Hub’s 2024-25 Cohort was co-delivered by Dr Malvika Sharan, Senior Researcher - Open Research and Arielle Bennett, Senior Researcher - Open Source Practices. Lelle Demertzi is the Research Project Manager. The Turing Way Practitioners Hub, designed and launched in 2023 by Dr Sharan, aims to accelerate the adoption of best practices. Through a six-month cohort-based program, the Hub facilitates knowledge sharing, skill exchange, case study co-creation, and the adoption of open science practices. It also fosters a network of 'Experts in Residence' across partnering organisations. For any comments, questions or collaboration with The Turing Way, please email: turing-
way@turing.ac.uk.